NestLens IntelligenceLive
Know the private market before you enter the room
Structured, verified data on 200,000+ funds, LPs, GPs, venture studios, accelerators, service providers, and grants across 60+ countries. The intelligence layer built for the managers the global data incumbents ignore — and for the individuals those platforms have never served at all.
Who Intelligence is for
Fund Manager · GP
You are sourcing deals and need to know exactly which LPs are actively allocating to your strategy right now
You spend hours every week manually researching LPs on LinkedIn, news articles, and conference attendee lists. Most of the time you are chasing the wrong people — LPs who are in moratorium, who have already allocated to a competitor, or who do not invest at your stage at all. Every wrong outreach wastes a relationship you cannot easily rebuild.
- Verified LP profiles with mandate, ticket size, and active deployment status
- Co-investor tracking — who is moving in your sector and stage right now
- Fund signals — who just closed, who is actively raising, who has gone quiet
LP · Allocator · Family Office
You are tracking emerging managers and need current, structured data on who is raising and what their track record looks like
The platforms you rely on for fund manager intelligence were built for large institutional allocators tracking established names. Emerging managers in India, SEA, MENA, and Africa barely appear. You either pay $30,000/year for a platform that ignores 80% of your target market, or you send your team to manually research every manager who sends a deck.
- Emerging manager profiles across 60+ countries with strategy and team data
- Relationship mapping between funds, portfolio companies, and co-investors
- Signals on fund activity, manager movements, and new fund launches
Service Provider
You provide legal, tax, audit, or advisory services to private market participants and need to know who is active and growing
Your business development depends on knowing which funds just raised, which GPs are forming new vehicles, and which startups just closed a round. Right now you find out months later — after they have already hired another firm. You are always reacting instead of positioning ahead of the engagement.
- Fundraise signals — new fund closes, portfolio company rounds, SEBI filings
- 12,000+ service provider profiles — understand your competitive landscape
- Contact intelligence — who to reach, not just which firm
Venture Platform · Accelerator · Incubator
You support a portfolio of startups and need to track co-investors, scout LPs for your fund, and map the ecosystem around you
Your team tracks hundreds of startups, dozens of co-investors, and a constantly shifting landscape of funds and angels active in your sector. This intelligence lives across spreadsheets, email threads, and your team's individual networks. When someone leaves, the knowledge walks out with them.
- Co-investor tracking across your portfolio companies
- LP discovery for your fund arm — filter by mandate and geography
- Ecosystem map — see which accelerators, funds, and angels overlap with your portfolio
Research Analyst · In-house Team
You produce private market intelligence for internal stakeholders and need structured, reliable data without building it from scratch
Every research brief starts the same way — 4 hours building a target list from LinkedIn, regulatory filings, news articles, and company websites. Half of that time is spent on data that turns out to be wrong or outdated. You deliver the actual analysis in a fraction of the time you spend on data collection.
- Structured entity data — searchable, filterable, exportable for client reports
- Verified · Reported · Inferred confidence labels on every data point
- Entity unlock model — pay only for the firm profiles you actually need
Boutique Research Firm
You sell private market intelligence to clients and need a data layer that makes your team faster without eroding your margin
Your team spends more time gathering data than interpreting it. Your clients pay for your judgment and domain knowledge — not for your analysts to manually build fund lists from LinkedIn and Google. Every hour spent on data collection is an hour not spent on the insight your clients actually pay for.
- Multi-seat plans — Core (2 seats), Growth (3), Pro (5) with shared credits
- Coverage across 60+ countries — match whatever geography your clients need
- Export-ready structured profiles for client-facing deliverables
Advisory · Placement Agent · Fundraising Advisor
You work with fund managers and founders raising capital — your value is knowing exactly who to call and when
Your reputation rests on the quality of your introductions. One introduction to an LP who is in moratorium or has a portfolio conflict costs you more than the time it took to make it — it signals that your intelligence is stale. Your network is your product. Keeping it current manually is not sustainable.
- 7,000+ LP profiles with active mandate, deployment status, and ticket size
- People movement signals — who moved where and when across funds
- Warm path mapping — how your network connects to the target LP
Government Body · Ecosystem Organisation · DFI
You run a programme, fund, or policy initiative that depends on accurate intelligence about the private market ecosystem you serve
Your team compiles ecosystem reports manually — scraping SEBI filings, startup databases, and news sources to produce a picture of the VC and PE landscape that is already 6 months out of date by the time it reaches decision-makers. Policy built on stale data produces programmes that miss the market they are designed to serve.
- Full ecosystem mapping — funds, accelerators, incubators, CoEs, grants in one view
- SEBI AIF data structured and searchable — not just the raw filings
- Geography and sector filters for state-level and national ecosystem analysis
Individual · First-time Access
You are a solo analyst, independent researcher, or individual fund manager — and institutional-grade private market data has never been accessible to you before
The market-leading platforms start at $10,000/year and require a corporate account. Others need an institutional login. A global data terminal runs $24,000/year. Every platform that holds the private market data you need was designed to be purchased by procurement teams at large institutions. You have been excluded — not because the data is not useful to you, but because no one built access for an individual.
- Individual plan — $150/month or $1,800/year, no institutional requirement
- 50 credits/month — unlock the 250 firm profiles that matter to you
- Same data, same confidence labels, same relationship maps as enterprise tiers
What you actually get
Not a data dump. Structured, verified entity data across every major private market player type — with explicit confidence labelling on every field so you always know how much to trust what you are reading.
Individual from
INR 14,999/month · Annual plans from $1,800/year · Pro from $21,600/year
Enter your email to preview the platform with demo data — see exactly what an entity profile looks like inside NestLens Intelligence, including confidence labels, relationship maps, and completeness scores.
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Intelligence — before and after, for a research analyst profiling 10 fund managers
Capital ReadinessLive
Be ready before the investor asks
Two tracks — Founder Track for startups raising from VCs and angels, and Fund Track for emerging GPs raising from institutional LPs. One platform that knows exactly what each investor type expects to see — and shows you the gap before the conversation starts.
Founder Track
For startups raising pre-seed through Series B
A guided, stage-aware investor readiness system. Data room, legal checklist, investor fit scoring matched to live Intelligence data, grant discovery, and expert pitch and financial templates. What a pre-seed investor expects differs from what a Series A fund requires — Founder Track knows the difference and adjusts automatically.
Who Founder Track is for
First-time Founder
You are raising pre-seed for the first time and have never been through institutional investor diligence
You have a deck and a strong idea. An investor says yes to a meeting. Then they ask for the data room. You spend the next three weeks frantically assembling documents — a cap table someone made in Excel, an SHA that may or may not be the right version, a financial model built for the pitch and not for scrutiny. The investor follows up once, then goes quiet. You never find out why.
- Step-by-step guided data room — each section tells you exactly what to upload and why
- Legal checklist with document-level explanations at your stage
- Investor fit scoring — know before you pitch which funds actually match your profile
Series A Ready Founder
Your seed round closed on relationships — now you need institutional-grade preparation that actually survives diligence
Your angel round and seed happened on trust, momentum, and warm introductions. The investor knew your founder before you had a cap table. Series A is different. A fund with a real diligence process will pull your SHA, your IP assignment agreements, your employment contracts, your cap table history, and your financial model. If any of it is wrong, incomplete, or missing — the round slows. If the legal structure has a problem the fund's lawyers find first, it can die entirely.
- Series A standard data room — built to what a fund's legal and investment teams expect
- Gap identification that surfaces problems before the investor's team does
- Financial model template built to institutional scrutiny standards, not pitch standards
Emerging Market Founder
You are building in India, Southeast Asia, MENA, or Africa and approaching global institutional capital for the first time
Global investors operate with specific expectations around data room structure, cross-border legal documentation, governance standards, and regulatory compliance that most first-time emerging market founders have never encountered. The standards differ fundamentally from domestic angel rounds. A founder who has never dealt with a Singapore-based fund or a London-based growth equity investor does not know what they do not know — and finds out too late, in the diligence phase.
- Global investor standard data room — built to what international funds expect
- Investor fit scoring that matches your profile to funds in your target markets
- INR-first pricing — no forex barrier to building the infrastructure you need
CA, Legal Advisor, Startup Consultant
You advise founders on fundraising readiness and need a structured infrastructure tool to offer your clients — not just a checklist
You tell your clients what documents they need, what structure they should have, and what investors will ask for. But translating that advice into an actual organised, investor-ready data room takes weeks of back-and-forth — you chase documents, reorganise what they send you, and end up doing work that was not in the original engagement scope. You need a platform that executes the infrastructure so you can focus on the advice.
- Refer clients and earn 20% of their annual plan — no cap, no expiry
- Cohort partner pricing if you advise 10+ founders at a time
- Your clients arrive at investor meetings already prepared — which reflects on your advisory quality
Self-directed Founder
You are preparing for your raise independently — no accelerator, no advisor, no one telling you what you need to do before the meeting
You are resourceful and self-directed. You have read every article about fundraising, watched every Y Combinator video, and built your deck without help. But the operational infrastructure — the cap table, the SHA, the IP assignments, the financial model that survives a fund's CFO, the data room that does not make a partner raise an eyebrow — is not something you can figure out from blog posts. One wrong move at the legal or financial structure level can delay your round by months.
- Guided data room that builds itself as you fill it — no blank-page paralysis
- 150+ grants and competitions matched to your profile with live deadlines
- Investor fit scoring — narrow your target list from 50 funds to the 12 actually worth approaching
New: Mentor Connect and Verified Audit
Mentor Connect books paid 1:1 time with vetted mentors and advisors, billed per minute in credits (from 10 credits/minute) — a quick 10-minute call costs less than a full session. Verified Audit puts a certified reviewer's eyes on your data room and readiness score before an investor does (500 credits). Investor fit matches are shown as your best 15 per category — request more from inside the app if you need a deeper list.
Founder Track — the 6 weeks before a Series A diligence request, with and without Capital Readiness
Cohort and Partner Programme — Founder Track
Bring Capital Readiness to your entire founder cohort at a flat annual fee
If you run a programme that supports multiple founders — accelerator, incubator, CoE, government programme, college E-Cell, or advisory practice — you do not need to refer founders one at a time. One cohort deal covers your entire batch. Optional co-branding means your founders experience it as part of your programme, not a third-party tool.
Who uses cohort pricing
Accelerator and Incubator Cohort Pricing
| Cohort size | Annual fee | Per founder | What is included |
|---|---|---|---|
| Up to 25 founders | $999/year | ~$40 | Full Capital Readiness access + optional co-branding |
| Up to 50 founders | $1,799/year | ~$36 | Full Capital Readiness access + co-branding included |
| Up to 100 founders | $2,999/year | ~$30 | Full access + co-branding + white-label option available |
| Per-founder option | $49/founder/year | $49 | Variable cohort sizes — pay per founder enrolled |
| 100+ founders | Custom | Custom | Enterprise terms and full white-label — discuss directly |
College E-Cell Pricing
| Students | USD/year | INR/year | Per student |
|---|---|---|---|
| Up to 25 | $499 | INR 41,999 | ~$20 |
| Up to 50 | $899 | INR 74,999 | ~$18 |
| Up to 100 | $1,499 | INR 1,24,999 | ~$15 |
Referral programme for individual advisors and CAs: earn 20% of every annual subscription you refer. No cap. No expiry. You choose between revenue share or a discount for your clients — never both simultaneously.
Fund Track
For emerging GPs raising Fund I or Fund II from institutional LPs
LP data room, fund documentation framework, LP fit scoring using the live NestLens Intelligence database, legal checklist for the LP edition, and track record structuring. Built around how institutional allocators — DFIs, pension funds, endowments, family offices — actually evaluate emerging managers. Not around how GPs think they are evaluated.
Who Fund Track is for
First-time GP
You are raising Fund I and have never built an LP data room — you do not know what institutional allocators actually need to see
You have built a strong investment thesis, developed deal flow, and identified a target LP list. Then your first serious LP asks for your data room and references your fund formation documents. You share a Google Drive folder with your pitch deck, a fund overview PDF, and a draft LPA that your lawyer is still reviewing. The LP goes quiet. Not because your fund is wrong — but because your materials signal that you have not done this before.
- Full LP data room structured to institutional allocator standards
- Fund documentation framework — LPA summary, term sheet, subscription document, co-investment policy
- LP fit scoring matched to 7,000+ LP profiles by strategy, geography, and ticket size
Operator or Angel Transitioning to Fund Management
You have a strong track record as an investor but you have never structured it in the format institutional LPs expect to see
Your angel investments performed well. Your operator background gives you a credible edge. But presenting a pre-fund track record to institutional LPs — in the format they require, with the attribution, confidence levels, and narrative structure they expect — is not something you have done before. LPs who review hundreds of emerging managers have a pattern-matching system for well-presented track records versus self-serving ones. Yours needs to land in the former category.
- Track record structuring in LP-standard format with attribution and confidence levels
- Narrative framework that positions operator insight as a genuine GP edge, not just a credential
- LP fit scoring to identify allocators who specifically back operator-turned-GP profiles
Accelerator or Incubator with a Fund Arm
You run a strong programme with real deal flow — now you are formalising a fund vehicle and need LP-grade infrastructure from day one
Your accelerator has a legitimate portfolio, a track record of supporting companies, and an investor network you have built over years. Structuring a formal fund vehicle that institutional LPs will take seriously requires a different kind of documentation — SEBI AIF registration, a proper LPA, a reporting framework, a compliance structure. Your programme expertise is real. Your fund infrastructure is where the gaps are.
- Compliance checklist: SEBI AIF registration, KYC framework, regulatory filing requirements
- LP reporting framework built into the data room from day one — not retrofitted after first close
- Portfolio presentation structure that institutional LPs recognise from established fund managers
Emerging Market GP Approaching Global LPs
You are raising from DFIs, endowments, pension funds, or global family offices — and they operate with a fundamentally different diligence framework than domestic LPs
Global institutional LPs — IFC, PROPARCO, pension funds, Asian Development Bank, global family offices — have specific and non-negotiable due diligence requirements. Most emerging market GPs approach them with materials that were designed for domestic angel networks or seed-stage Indian LPs. The mismatch signals exactly what you do not want to signal: inexperience with institutional processes. The conversation dies before your investment thesis is even evaluated.
- Global LP standard data room built to what DFIs and institutional allocators expect
- DFI and endowment-specific compliance items flagged in the legal checklist
- LP fit scoring filtered by DFI mandates, endowment strategies, and emerging market allocation policies
New: portfolio company tracking for GPs
Track every company you've backed inside Fund Track. Add a company for free, unlimited tracking of the key facts — no seat used, no data room created. Invite them instead and, once they accept, you get a real shared data room you can browse read-only — including working document downloads — the same view an investor gets on a shareable link. The first 5 accepted companies are included in Fund Track; additional accepted seats are $75/year each. Running more than one fund? The GP dashboard aggregates AUM, portfolio, and LP data across every fund room your workspace owns.
Fund Track — the 90 days before a first LP close, with and without Capital Readiness
Cohort and Partner Programme — Fund Track
If you run a fund formation programme, bring Fund Track to your entire cohort
VC Lab-style organisations, IVCA networks, DFI ecosystem programmes, and accelerators building fund arms — if you support multiple GPs going through fund formation, Fund Track cohort pricing covers your entire group at a flat annual fee.
Who uses Fund Track cohort pricing
| GPs in programme | Annual fee | Per GP | What is included |
|---|---|---|---|
| Up to 10 GPs | $2,500/year | $250 | Full Fund Track + LP data room + LP fit scoring + co-branding |
| Up to 25 GPs | $5,500/year | $220 | Full Fund Track + co-branding + white-label option |
| 25+ GPs | Custom | Custom | Enterprise terms — discuss directly |
Fund Track cohort pricing includes LP fit scoring using the live NestLens Intelligence database — each GP in the programme gets their own LP target list based on their specific mandate, geography, and stage.
What you actually get
Not a checklist. Not a template pack. A live, guided system that knows what stage you are at, what your investor expects, and exactly what is missing from your preparation — before the investor finds it themselves.
Founder India from
₹9,999/year · Global $299/year
Fund Track from
$500/year · Extra LP room $300/year · Extra portfolio seat $75/year
Enter your email to preview the Founder data room and Fund Track LP data room — exactly as they appear inside Capital Readiness, with readiness scores, gap identification, and live investor fit matches.
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NestLens ExchangeLive
India's first private market data marketplace
Buyers post structured project briefs. Verified sellers apply and deliver. No procurement cycles. No agency markup. No rigid contracts. Priced and paid in INR.
Verified sellers only
Every seller completes a verification process before listing. QC infrastructure on every deliverable. You know what you are getting before you pay.
Brief-first model
You post what you need. Qualified sellers apply. You choose. No cold pitches, no discovery calls with unvetted strangers, no agency middlemen.
Quarterly credit rollover
Sellers get 15 applications per month. Unused credits roll over quarterly up to 45. Not use-or-lose. Sellers are not punished for slow months.
INR-first, no forex friction
Every transaction priced and settled in INR. No USD conversion, no international wire fees, no forex risk for Indian buyers and sellers.
Private market specialisation
Built specifically for AI training data, financial research, annotation, OCR, multilingual collection, and market intelligence. Not a generic marketplace for any kind of freelance work.
Open to individuals
No corporate account required. No procurement process. A solo analyst, an independent researcher, or a first-time buyer can post a brief and find a verified seller in hours.
For Buyers — who Exchange is for
AI Company · ML Team
You need structured training data at scale — and finding reliable providers through referrals takes longer than building the dataset yourself
Your model needs domain-specific training data — financial documents, Hindi text, annotated medical records, structured OCR outputs from regulatory filings. Finding a reliable provider through your network takes 4–6 weeks of outreach. The ones you find through Upwork or Fiverr deliver inconsistent quality with no accountability structure. You end up spending more time cleaning the data than you saved by outsourcing.
- Post your brief once — qualified verified sellers come to you
- QC review on every deliverable before it reaches you
- Domain-matched sellers — annotation, OCR, multilingual collection, financial data
Fund · Research Team · Family Office
You need custom private market research on a specific sector or geography — and your internal bandwidth does not exist for it
Your fund needs structured data on 400 PE firms in Southeast Asia. Or a monitoring brief on 60 portfolio companies across Africa. Or a quarterly update on regulatory developments in a sector your team does not cover. Your analysts are at capacity. Commissioning an external research agency takes 3 months of procurement and delivers a report format you did not ask for at a price you did not budget.
- Private market research briefs matched to verified analysts with domain expertise
- Structured delivery in the format you need — not the seller's default output
- Recurring brief option for monitoring and quarterly update work
Enterprise · Startup · Corporate Team
You need multilingual data collection, domain-specific annotation, or structured extraction — without a 6-month contract or a minimum spend you cannot justify
Your product needs Hindi, Tamil, Marathi, or Bengali training data. Your model needs financial document annotation at a quality level Upwork cannot guarantee. Your team needs OCR extraction from 500 regulatory filings by next month. The providers you find through generic platforms do not specialise in what you need. The agencies that do specialise require a contract, a minimum spend, and a 4-week onboarding process.
- Multilingual data collection across 12+ Indian languages with verified specialists
- Domain-specific annotation — fintech, healthcare, legal, regulatory
- Buyers join and browse free — pay only for projects you actually commission
For Sellers — who Exchange is for
Data Analyst · Independent Researcher
You have deep domain expertise in private market data and want structured project work that matches your skills — not a race to the bottom on price
Upwork and Fiverr are built for volume and commoditised work. The moment you list a data research service, you are competing with hundreds of generalists who undercut on price and overstate capability. Your domain expertise in fund manager data, LP profiling, or financial document extraction is worth more than any generic platform allows you to charge. You need a channel where the buyer already understands the brief is specialised — and is willing to pay accordingly.
- $199/year — 15 applications per month, credits roll over quarterly up to 45
- Verified seller badge — instant trust signal with serious buyers
- Domain-matched briefs — apply only to work that fits your actual expertise
Research Firm · Boutique Agency
You deliver high-quality specialised research and want consistent project flow without spending half your time on business development
Your firm does excellent work. But finding the next client requires constant cold outreach, conference attendance, and relationship maintenance that consumes capacity you would rather spend on research. Most procurement cycles for research services take 3 to 6 months from first conversation to signed contract. You need a channel where qualified buyers with active briefs come to you — not a channel where you pitch into the void and hope someone responds.
- Firm profile listed on Exchange with verified badge and capability categories
- Apply to multiple live briefs simultaneously — 15 applications per month
- Transparent 8–15% commission on completed projects — plus the flat annual listing fee
Language Specialist · Multilingual Data Provider
Your expertise in Indian languages is in growing demand for AI training data — but the buyers are scattered and the briefs are inconsistent
The demand for Hindi, Tamil, Telugu, Bengali, Marathi, Kannada, and other Indian language data is growing rapidly as AI companies build for India-first and Bharat markets. But the buyers are spread across dozens of platforms, geographies, and procurement processes. You spend as much time finding the right brief as you do completing it. And when you find a buyer through a generic platform, the brief is often vague, the budget is unclear, and the quality standard is undefined until after you have done the work.
- Language-specific brief matching across 12+ Indian languages
- INR-settled payments — no forex friction on either side
- Quarterly credit rollover — slow months do not cost you accumulated applications
Exchange — sourcing a private market dataset before and after
What buyers and sellers actually get
A marketplace that works because both sides are structured and verified — not a directory where anyone can list and anything can be delivered.
For Buyers
Pay per project only · No minimum spend
For Sellers
15 applications/month · Quarterly rollover · 8–15% commission
Enter your email to preview live project briefs from buyers and verified seller profiles on Exchange — see the kind of work available and who delivers it.
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NestHRLive
Run your full people function on one platform
11 modules covering the complete employee lifecycle. Two editions — Corporate for growing companies and startups, Campus for universities and placement cells. Built for how Indian organisations actually run HR — not adapted from software designed for US teams.
Corporate Edition
For companies with 10 to 500 employees
Full 11-module HRMS — People, Attendance, Leave, Payroll, Performance, Learning, Expense, Talent OS, Document Engine, Work Intelligence, and Analytics. INR-first. Compliance-first. Built for how Indian companies actually operate — not for how US HR software assumes you do.
Who Corporate Edition is for
Fast-growing Startup · 10–50 people
You have grown fast and HR never caught up — payroll is manual, attendance is a spreadsheet, and offer letters are copy-pasted Word documents
You hired your first 10 people on instinct and speed. Then 20. Then 40. Every month the payroll process takes longer, involves more manual steps, and carries more risk of a mistake that affects real people's salaries. Your attendance system is a shared Google Sheet that everyone edits differently. Offer letters are Word files with find-and-replace that someone will eventually forget to update. One compliance issue — a missed TDS filing, a disputed leave balance, an employee who questions their PF deduction — and you are spending a week you do not have on something that should have been automated 20 employees ago.
- Three-way compliant payroll — PF, ESI, TDS, professional tax — runs in 30 minutes
- Automated attendance tracking with exception-based review — no manual data entry
- Document engine with 16 letter types and built-in e-signature — offer to exit, covered
Operations Lead · HR Manager
You run payroll manually every month and it consumes your entire week — one error affects real people, one missed filing becomes a government notice
Your monthly payroll process looks like this: collect attendance data from the shared sheet, reconcile leaves and LOP deductions, calculate gross salaries, apply PF and ESI deductions, compute TDS for each employee based on their declarations, prepare the salary register, get it approved, initiate bank transfers, generate salary slips, and file the compliance returns. Each step is manual. Each step has dependencies on the previous one. One wrong number cascades. The process takes you 4 to 6 working days. Every month. Without fail.
- Payroll runs automatically — you review the output and approve, not build it from scratch
- Compliance filing tracker with deadline alerts for PF, ESI, TDS, and professional tax
- Salary slip generation and distribution automated — Form 16 generated at year end
Founder Scaling the Team
You are onboarding 3 to 5 new people every month and every hire is a different ad-hoc process that only you can navigate
Your onboarding process exists only in your head. Documents are collected through WhatsApp. Bank details come in on a chat message. The offer letter is emailed as a PDF attachment that gets signed, scanned, and sent back as a blurry JPEG. IT access is requested in a different Slack channel. The new joiner's first week involves chasing 6 different people for 6 different things they should have had on day one. You are building a team while also being the manual glue holding the joining process together. One day you will not have time to do this — and that day comes faster than you expect.
- Talent OS for campus and bulk hiring — JDs, applications, interviews, offer flow in one system
- Onboarding checklist that runs itself — documents, access, introductions, day-one kit
- Work Intelligence — see how your team builds, not just when they log in
SME · Traditional Business Digitising HR
You have 50 to 200 employees and HR still runs on paper, manual registers, and a payroll that only one person in the company knows how to run
Your attendance register is physical. Your leave application comes in writing. Payroll is managed by one person who has been doing it the same way for 8 years — in a spreadsheet that nobody else understands. Your employee records are in a filing cabinet. When an employee asks for an experience letter, someone has to find the Word template, edit it manually, print it, sign it, scan it. Your compliance exposure grows every year that this continues, and your employees deserve better infrastructure than what you currently provide.
- Full HRMS without enterprise pricing or enterprise implementation timelines
- Digital leave, attendance, and document management — no more paper registers
- Single person dependency on payroll eliminated — system runs the process, humans review
Corporate Edition — one month of HR operations, with and without NestHR
All 11 modules — what each one does and what it replaces
Campus Edition — PlacementOS
For universities, colleges, and campus placement cells
Student profiles, company drive management, batch eligibility filtering, tokenised offer tracking, company-facing coordination portal, and real-time placement analytics. Complimentary People OS for placement staff included at every campus tier — manage your placement team on the same platform you manage your placement season.
Who Campus PlacementOS is for
Placement Officer · Training and Placement Cell
You manage 300 students and 50 companies through a placement season that runs on WhatsApp, Excel, and email — and every week something falls through the cracks
Your placement season is a 4-month coordination exercise between hundreds of students and dozens of companies, all happening simultaneously. Drive schedules are shared on WhatsApp — 30% of students miss the message or claim they did. Eligibility is checked manually against a printed spreadsheet that was accurate 3 weeks ago. Offer status is tracked in a shared Excel file that three people edit at the same time and nobody trusts. When a company asks for the final shortlist at 6pm, you are building it from scratch. When a student asks why they were not shortlisted, you have no documented trail to show them.
- Drive management — schedule, student notifications, eligibility filter, interview tracking, result recording in one flow
- Eligibility filter by CGPA, branch, backlog count, and custom criteria — applied instantly across the full student database
- Tokenised offer flow — students receive and respond to offers through the platform, not through WhatsApp
Principal · Dean · Academic Leadership
Placement data goes to NIRF, NAAC, and the management committee every quarter — but assembling it takes your placement team two weeks of manual work every time
NIRF and NAAC submissions require accurate placement data — percentage placed, median salary, top recruiters, sector distribution. Every year this data is assembled manually by your placement team from a combination of their own notes, the Excel sheet, email threads, and whatever records HR kept. It takes two weeks. The numbers change between the draft and the final submission because someone found an error. Your management committee meetings require placement dashboards that your team builds the night before by pulling data from four different places.
- Real-time placement analytics dashboard — always current, no manual compilation required
- NIRF and NAAC data extracted directly from the platform in the required format
- Multi-year placement history structured and comparable — trend analysis in minutes
College Improving Placement Performance
You lost placements last season because coordination broke down — companies withdrew offers, students missed drives, and the follow-through that should have converted interest into offers did not happen
Last season a company came for a drive, shortlisted 12 students, and then withdrew their offers two weeks later because the interview no-shows were never flagged. Three students were shortlisted for a role they were not eligible for because the Excel filter was wrong. Four companies never came back because the post-drive feedback process was so disorganised they decided the placement cell was not worth the operational overhead. These are not exceptional failures — they happen every year at institutions that run their placement season on email and WhatsApp.
- No-show and non-response tracking with escalation alerts — problems surface in hours, not after the company has left
- Company-facing coordination portal — drives scheduled, feedback collected, communication logged in one place
- System-enforced eligibility — filter runs on the database, not on a printed list someone checks manually
Campus PlacementOS — one company drive, with and without PlacementOS
What you actually get
Not just software. A full people operations system that runs the routine so you can focus on the work that actually requires a human.
Corporate Standard
Plus edition at ₹999/emp/yr adds Work Intelligence
Campus Small
Up to 100 students · Growing ₹40,000 · Large ₹60,000
Preview the NestHR Corporate dashboard and Campus PlacementOS with demo data — see exactly what the platform looks like in operation, including live compliance tracking and placement season analytics.
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Pricing
Simple, transparent. No surprises.
All plans monthly or annual. Annual saves 17%. No per-module upsells. No forced contracts. Enterprise reviewed personally by Ankit.
Intelligence
Individual
$1,800/year
Core
$7,200/year
Growth
$14,400/year
Pro
$21,600/year
Enterprise: custom seats, firm unlocks, API access, SLA, dedicated onboarding — submit an enterprise enquiry
Capital Readiness
Founder — Global
$299/year
Founder — India
INR 9,999/year
Fund Track
$500/year
Cohort pricing from $999/year for 25 founders · College E-Cell from $499/year · Per-founder option at $49/year · Fund Track includes 5 accepted portfolio company seats, additional seats $75/year · Referral programme: 20% per subscription referred
Exchange
Buyers
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Annual verified listing · 8–15% commission on completed projects
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Large campus (301–600): ₹60,000/year · Institution 600+: contact us · Complimentary People OS for placement staff at every campus tier
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Custom seats, API access, white-label data room, SLA, and dedicated onboarding across any combination of products. Every enquiry reviewed personally by Ankit within 2 business days.
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Two ways to partner — refer individual founders and earn, or bring Capital Readiness to your entire cohort at a flat annual fee.
Referral Programme
Refer a founder or fund manager who subscribes to Capital Readiness and earn 20% of their annual plan — paid directly to you. No cap on referrals. No expiry on the programme.
- 20% of every annual plan you refer — INR 2,000 per India subscriber
- No cap on number of referrals · No programme expiry
- You choose revenue share or a discount for your clients — never both
- Unique referral link tracked automatically
Cohort Partnership
Accelerators, incubators, CoEs, government programmes, and advisory firms supporting multiple founders. Flat annual fee covers your entire cohort with optional co-branding.
- From $999/year for up to 25 founders
- Optional co-branding under your programme name
- White-label available at 100+ founders
- LabelNest handles all founder support — no work on your end
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FAQs
Questions you were going to ask on the call
Everything is answered here. If it is not, email Ankit directly.
Questions founders ask before raising
Everything about preparing your data room, understanding your readiness score, finding the right investors, and getting your legal house in order before the first meeting.
Capital Readiness gives you a live VC Readiness Score out of 100 calculated across six dimensions: data room completeness, legal readiness, financial clarity, investor fit, governance, and market narrative. The score updates every time you fill a field or upload a document. You do not need to guess whether you are ready — the score shows you exactly where you are strong and exactly what to fix before you reach out to investors.
The platform tracks 85 fields across 10 sections of your data room. Every missing or incomplete field appears in a gap list with red, amber, and green status. Red means critical — an investor will ask for this and the absence will raise concerns. Amber means present but incomplete. Green means done. The gap list updates live and includes a direct link to fix each item.
Every field in Capital Readiness is tagged to a fundraising stage — pre-seed, seed, or Series A. A pre-seed investor wants to see the pitch deck, the team, the market size, and a clean cap table. A Series A fund additionally requires audited financials, a full legal structure review, IP assignments, board governance records, and an ESOP formally established. The platform shows you only what applies to your current raise and tells you which items become required as you move up to the next stage.
Yes. You generate a shareable link for each investor separately. Every link is tracked independently — you see who opened it, when, which sections they spent time on, and how many times they returned. You can set section-level visibility so a specific investor sees only the sections you want them to see. You can add password protection, require an NDA acceptance before viewing, and revoke access at any time from your dashboard.
When you create a Capital Readiness account and enter your CIN, the system looks up your company in the NestLens Intelligence entity database. If your company already exists — because NestIntel has found it through MCA filings, press coverage, or other sources — your data room links to that entity. Fields that Intelligence already has, like your incorporation date and registered address, appear in your data room pre-filled with source label Auto. When you verify a field by uploading a document, the confidence weight on your entity in the Intelligence database increases. Investors who look up your company through NestLens Intelligence see higher-quality, founder-verified data. And when NestIntel finds something new about your company — a press mention, a regulatory filing — an update available flag appears in your data room for you to review.
The Legal Readiness Framework checks six critical areas that regularly cause rounds to stall or fail in diligence. IP assignment — has every founder, early employee, and contractor formally assigned their IP to the company? SHA execution — is the shareholder agreement actually signed by all parties, not just drafted? Cap table reconciliation — does your cap table match your SHA and board resolutions exactly? ESOP documentation — is the employee stock option scheme formally established and documented, not just mentioned in the pitch deck? Employment contracts — do all co-founders and key employees have signed agreements? Governance records — are board resolutions, director KYC, and regulatory filings current? The platform flags each of these before the investor's lawyers find them.
Verified Audit is an optional feature where a Verified Auditor reviews your data room before you begin investor outreach. The auditor checks documentation completeness, governance readiness, financial disclosure consistency, legal preparedness, and the quality of your investor-facing materials. They deliver a written audit report that you can attach directly to your shared data room link. When an investor receives a data room with a third-party audit report, they spend less time on basic document verification and more time on the investment decision itself. This shortens the overall diligence timeline. It is particularly useful if you are approaching institutional investors for the first time or if your legal structure is complex. It is credit-based — you request it when you need it, not as a mandatory step.
Investor fit scoring is powered by the NestLens Intelligence database of 200,000+ funds and 7,000+ LP profiles. You fill in your investor criteria — the investor types you are seeking, your target geography, your round size, and your stage. The system returns a ranked list of investors with a fit score for each. Every result shows eight signals: when they last invested, which similar companies they have backed, their average cheque size, how long since their last investment, sector momentum in your vertical, the specific partner who leads deals in your sector, whether any portfolio company conflicts with yours, and how many warm introduction paths exist from your network to that investor. Results are capped at your best 15 matches — request a deeper list from inside the app if you need more.
Every investor result card in the fit scoring view shows actual portfolio company names in your sector and stage that this fund has backed in the last three years. You see the names, not just sector labels. This tells you two things: whether the fund has genuine experience in your space and whether any of those portfolio companies might be a conflict. You can click through to any portfolio company's entity profile to understand the investment in more detail.
The investor fit result for each matched fund includes a warm introduction paths signal showing how many degrees of separation exist between you and the target investor through the NestLens network. This is mapped using co-investor relationships, alumni networks, and portfolio founder connections stored in the Intelligence entity graph. If two warm paths exist, the system shows what those paths are — for example, via a co-investor who has already backed you, or via a shared alumni network connection to the relevant fund partner.
Grant and competition discovery matches your founder profile — sector, stage, founding team background, geography — against 150+ government schemes, grants, and competitions tracked continuously. This includes BIRAC BIG, SPARSH, LEAP for healthcare and life sciences founders; DST NIDHI, TIDE 2.0, PRAYAS for technology and deep tech; MeitY SoftEx and startup initiatives; SIDBI schemes; and 30+ state-level programmes including Delhi, Tamil Nadu, Maharashtra, Karnataka, and Uttar Pradesh. Deadlines and eligibility criteria are tracked live — you receive alerts before application windows close so you never miss a grant you qualify for.
Mentor Connect gives you access to experienced operators, investors, legal specialists, fundraising advisors, and sector practitioners. You browse mentor profiles filtered by sector, stage, and geography. You book a session type: Quick Call (20-30 minutes) for one specific problem, Full Session (60 minutes) for deeper engagement like data room review or pitch practice, or Deep Dive (multi-hour) for comprehensive fundraising preparation covering pitch, financial model, data room, and investor targeting strategy. Sessions are billed per minute in credits, from 10 credits per minute, so a quick call costs less than a full session or deep dive. Every mentor is rated by founders after each session — quality is self-enforcing through the ratings system.
The gap list in your Capital Readiness data room is effectively a list of questions investors will ask. Every red or amber gap item translates directly into an investor question. IP assignment missing becomes "Have all founders and contractors formally assigned their IP to the company?" SHA not executed becomes "Is your shareholder agreement fully signed by all parties?" ESOP not documented becomes "Where is the formal ESOP scheme documentation?" The Legal Readiness Framework is designed to surface every question an institutional investor's diligence team will ask before they see the deficiency themselves.
India pricing is ₹9,999 per year with all nine modules included — data room, legal checklist, investor fit scoring, grant discovery, institutional templates, Verified Audit via credits, mentor connect, intelligence link, and shareable views with analytics. Global pricing is $299 per year. If you are joining through an accelerator or incubator, your programme may have a cohort deal where access is $49 per founder per year. There is no per-module pricing and no separate charges for features within the plan.
The VC Readiness Score is calibrated against what investors actually expect at each stage — pre-seed, seed, and Series A — based on the field definitions in the platform and the Intelligence data on what funded companies at each stage had in their data rooms. Your score is not an absolute rating but a relative readiness assessment against the benchmark for your stage. A 74/100 at pre-seed means you are ready to have productive investor conversations with specific gaps to fix before term sheet discussions. The score improves as you complete more fields and upload more documents.
Questions GPs ask when raising from LPs
LP data room, multiple funds per manager, portfolio company management, LP fit scoring, and the connected private markets operating system.
The Fund Track LP data room covers 10 sections and approximately 90 fields. Fund Overview covers legal name, structure, target size, committed capital, vintage year, management fee, carry, and hurdle rate. Strategy and Investment Thesis covers your mandate, target sectors, geographies, stage, and portfolio construction model. Team and Governance covers key person bios, IC structure, advisory board, and succession plan. Track Record and Performance covers net and gross IRR, MOIC, DPI, TVPI, RVPI, and top case studies. Legal and Fund Structure covers LPA extract, subscription agreement, side letter policy, and conflicts-of-interest disclosure. Compliance and Regulatory covers SEBI AIF registration, AML/KYC policy, compliance manual, and regulatory disclosures. Operational Due Diligence covers fund administrator, auditor, valuation policy, NAV frequency, and cybersecurity policy. ESG and Responsible Investing covers your ESG policy, UN PRI signatory status, and impact measurement framework. LP Reporting and Communications covers quarterly report samples, capital account statements, and capital call notice periods.
Yes. Fund Track now supports a GP-level account that sits above all your funds. Fund I, Fund II, and Fund III each have their own separate LP data room under one login. The GP dashboard shows total AUM computed across all funds, total LP count with deduplication where the same LP appears in multiple funds, total portfolio company count, and average data room readiness score. You can create a new fund directly from the dashboard and each new fund room is automatically linked to your GP account.
The LP Readiness Ladder has four levels reflecting the documentation requirements of different LP types. Level 1 — Family and Friends requires only fund overview, thesis, team, and basic track record. Level 2 — Family Office adds strategy depth, full performance data, legal structure, governance framework, and an ESG policy. Level 3 — Institutional LP adds full operational due diligence, audited track record letter, compliance manual, Form ADV equivalent, AML/KYC policy, and LP reporting history. Level 4 — Anchor or Sovereign adds DEI statistics, UN PRI signatory status, impact measurement framework, ESG reporting, and DFI-specific compliance items. The platform tells you exactly which fields unlock each level and tracks your progress toward each one.
Every field in the fund data room shows its source. Fields you type manually show Manual with the last-updated date. Fields computed from other fields — total fund size summed from individual LP commitments, remaining dry powder from committed minus deployed — show Computed. Fields that auto-populate from connected entities — LP mandate data from the Intelligence database, portfolio company data from linked Capital Readiness accounts — show Auto with the source entity. When a connected entity updates a field that yours references, an update available flag appears. You review the new value and pull it manually. Nothing in your data room changes without your explicit action.
LP Opportunities matching is powered by 7,000+ LP profiles from the NestLens Intelligence database. Your fund's strategy fields — target sectors, geography, stage, cheque size, first-time-fund interest — are matched against LP mandate data, typical commitment size, and active deployment status. Every LP result shows eight signals mirroring the founder-side investor matching: active deployment status, similar funds backed in the last five years, typical commitment size, mandate type, DFI compatibility if applicable, the specific contact responsible for this mandate, and warm introduction paths. Results are capped at your best 15 LP matches per fund. They unlock in tiers as your data room gets more complete — 5 matches at 40%, 10 at 60%, and all 15 at 80% complete. Below 40%, matches stay fully hidden. You can request a deeper list from inside the app if 15 is not enough.
When you enter an LP in your fund's LP table, the system matches them against the NestLens Intelligence LP entity database. When a match is found, the LP row in your fund room links to the Intelligence entity. Their mandate data — LP type, geography focus, typical commitment size, recent fund commitments, active deployment status — surfaces directly in your LP table with source label Auto from Intelligence. When the LP's mandate changes in the Intelligence database, an update-available flag appears on that LP row in your fund. You pull the update when ready. You do not need to research each LP separately — the intelligence data comes to you in context.
Fund Track lets you link portfolio companies to your fund through a two-way approval system. You send a link request to a portfolio company, or they send one to you. The receiving side accepts or declines. Once linked and both sides have approved, the company's Capital Readiness data appears in your fund dashboard — their VC Readiness Score across six dimensions, their current gap list with red/amber/green status, fundraising history, current round details, and document vault index. When the founder updates their data room, an update-available flag appears in your fund dashboard. You pull the update when ready. The five portfolio company data rooms are included in the $500 Fund Track plan. Additional data rooms are $75 per year each.
For each linked portfolio company, the fund dashboard shows: VC Readiness Score across all six dimensions as a live number that updates when the founder updates their data room. Gap list showing critical red items, amber warnings, and green completed items — so you know which portfolio companies need attention before their next raise. Fundraising history including prior rounds, grant receipts, and current round target. Connected investors showing which funds and angels are also invested — this auto-populates your fund's co-investor list. Document vault index showing which documents are complete, pending execution, or missing. The founder controls what is visible to you — sensitive sections like unit economics are private by default and require their explicit permission to share.
The portfolio health overview in your GP dashboard shows every linked company's VC Readiness Score. Companies with red items in their gap list — missing IP assignments, unexecuted SHAs, undocumented ESOP schemes — appear flagged. Since these are the same legal gaps that cause investor diligence to stall, you can identify which portfolio companies need legal attention before they approach their next raise. The dashboard sorts by readiness score so the most vulnerable companies are visible immediately.
Fund Track Core is $500 per year (₹42,000/year in India). This includes one GP account with unlimited funds, the full LP data room across 10 sections and 90 fields, LP readiness ladder, LP fit scoring against 7,000+ LP profiles, peer and stack benchmarking, LP shareable views with NDA-accept and access tracking, five portfolio company data rooms, the Intelligence LP link, Verified Audit via credits, and Mentor Connect billed per minute in credits. An additional LP data room — for a second LP class or SPV — is $300 per year. Additional portfolio company data rooms above the five included are $75 per year each. INR pricing is available for all items.
Fund Track at $500/year includes five portfolio company data rooms at no extra cost. Each portfolio company gets the full Capital Readiness Founder Track — data room, legal checklist, investor fit scoring, grant discovery, templates, mentor access, and Verified Audit. The individual price for one founder is $299/year globally or ₹9,999/year in India. Five founders at individual pricing would be $1,495/year. Through Fund Track, those five data rooms are included in your $500 plan, with additional companies at $75/year each. If you have a portfolio of 10 companies, the total is $500 for Fund Track plus $375 for 5 additional data rooms — $875 total versus $2,990 at individual pricing.
What questions can NestLens Intelligence answer?
These are the questions NestLens Intelligence is built to answer — by ICP. The answers shown are illustrative of what the platform surfaces. Real data requires a subscription.
Intelligence matches your thesis — stage, sector, geography, cheque size — against active founders in the database. Every match shows the company's funding status, traction signals, team background, and whether they have a Capital Readiness data room linked. Companies with founder-verified data appear with higher confidence labels. You see ranked results, not a flat directory.
The signals feed tracks investment pace by sector over rolling 3-month, 6-month, and 12-month windows. Sectors where new company formation is accelerating but institutional investment has not yet caught up appear as emerging signals. You see the trend before the press covers it and before every major fund adds it to their thesis slide.
Founder discovery filters by sector, stage, geography, and recency of data room update — which signals active fundraise intent. Founders who have updated their Capital Readiness data room in the last 30 days, whose investor criteria match your thesis, and whose CR score is above a threshold you set appear at the top of your discovery feed. You see the right founders at the right moment — not a static list of everyone who ever raised.
The active fundraise signal surface shows companies where fundraising_status is active and round_timeline is within the next 90 days, sourced from founder-declared data in Capital Readiness and NestIntel signals from press, MCA filings, and registry data. Confidence label on each record tells you whether this is founder-verified or inferred from a secondary source.
Portfolio overlap check is built into every investor search result. When you look at a company, the system cross-references their competitive landscape field against your linked fund's portfolio companies. Direct and indirect conflicts are flagged. This runs automatically — you do not need to manually check each new deal against your existing portfolio.
The benchmarking view pulls comparable companies in the same sector and stage and shows percentile rankings on available metrics — traction signals, team background, data room completeness, and fundraising history. You see where a company sits in the peer distribution before the first meeting. This is the investor-facing version of the same benchmarking that the Peer and Stack feature provides to fund managers.
Fund matching filters by mandate type — DFI, endowment, family office, HNI, pension fund — fund stage, geography, vintage, first-time-fund appetite, and typical commitment size. Every match shows the fund's strategy, team, track record signals, LP reporting quality, and data room completeness if the GP is using Fund Track. You see whether the fund has completed LP-level documentation before you commit time to a formal diligence process.
Emerging manager discovery surfaces first-time and second-time fund managers across India, SEA, MENA, and Africa — geographies where Preqin and PitchBook coverage is weakest. Filter by vintage year, strategy, geography, team background, and whether the fund has an anchor LP already committed. People move signals show experienced investors who recently left established funds and are building their own vehicles — often the strongest emerging manager signals before the fund is formally announced.
Active fundraise signals for funds surface from SEBI AIF filings, press coverage, and GP-declared data in Fund Track. Filters include vintage year, target size, strategy, geography, and first close status. GPs who have completed their Fund Track data room and enabled LP Opportunities appear with their full mandate and documentation status visible — the highest-confidence signals for funds actively seeking LP capital.
Portfolio diversification analysis maps your committed funds against sector and geography exposure. If you are tracking your fund commitments in the NestLens LP workspace, the system shows your sector concentration, vintage distribution, and geography spread against your stated mandate. Underexposed sectors relative to market opportunity and overexposed sectors relative to your target allocation are surfaced automatically.
Fund benchmarking compares a target fund against comparable-vintage funds on IRR, MOIC, DPI, management fee, carry, portfolio construction, and ESG policy. For funds using Fund Track, verified performance data appears with higher confidence. For other funds, benchmarking uses Intelligence-sourced data from public filings and reported metrics with confidence labels showing the source of each data point.
Deal sourcing signals combine active fundraise flags, sector momentum signals, people moves, and accelerator graduation data. Founders who recently graduated from a top programme, updated their data room in the last 30 days, and whose criteria match your fund thesis appear ranked in your sourcing feed. The feed is personalised to your fund's thesis fields — you see relevant opportunities, not every company in the database.
Co-investor tracking maps which funds and angels are backing companies in your thesis sectors. For your linked portfolio companies, co-investor data auto-populates from the connected entity records. For prospective deals, you see which other funds have already invested and whether their investment thesis aligns with or conflicts with yours. Warm introduction paths through co-investors are mapped automatically.
The portfolio health dashboard ranks your linked companies by VC Readiness Score. Companies with critical red gaps — missing IP assignments, unexecuted SHAs — appear flagged because these are the issues that will surface in their next investor diligence round. Companies whose readiness score has dropped since your last review show a change indicator. You see the most vulnerable portfolio companies before they come to you with a problem.
The signals feed tracks sector-level investment pace, new company formation by vertical, people moves across the fund ecosystem, and geographic capital flow trends. You can set the feed to filter by your thesis sectors and geography so you only see movements that are relevant to your fund's mandate. Trend data is available at rolling 3-month, 6-month, and 12-month windows for comparison.
NestLens Intelligence Individual plan is $150 per month with no corporate account, no purchase order, and no institutional login required. You get 50 credits per month and 250 firm unlocks. Browse the full database — 200,000+ funds, 7,000+ LP profiles, 110,000+ contacts — without spending a credit. Unlock only the profiles relevant to your current research. This is the first platform that treats the individual analyst as a first-class customer rather than requiring institutional affiliation.
Structured entity data with confidence labels on every field replaces the manual verification step in research briefs. When a field shows Verified, it has been confirmed by a primary source document. When it shows Reported, it comes from a secondary source like press coverage. When it shows Inferred, it is derived from related data. You know exactly how much to trust each data point before you use it — so your team spends time on analysis, not on building and verifying target lists from scratch.
Yes. The entity unlock model lets you browse and search the full database freely. You only spend a credit when you unlock a specific entity profile to access its complete data. The Individual plan gives you 50 credits per month. Credits do not expire at the end of the month — they roll over. You pay for what you actually use, not for a database you access twice a year.
NestLens Intelligence covers 60+ countries with structured data across funds, LPs, founders, portfolio companies, and service providers. Coverage is strongest in India, Singapore, UAE, South Africa, Vietnam, and Nigeria — the emerging market geographies where Preqin and PitchBook coverage is weakest. Confidence labels tell you exactly how deep coverage is in a specific geography so you know what to expect before you unlock a profile.
Active fundraise signals show which startups are in a round right now and therefore actively need legal, audit, HR, and advisory support. Filter by sector and geography to surface companies in your domain. Companies with Legal Readiness Framework gaps — missing IP assignments, unexecuted SHAs — are particularly likely to need legal counsel in the next 30 to 60 days. These signals give you the ability to reach out before your competitors know the company exists as a potential client.
Fund formation signals surface from SEBI AIF filings, people move data — experienced investors who recently left established funds — and GP-declared data in Fund Track. A GP forming Fund I needs fund formation counsel, a fund administrator, an auditor, and compliance support simultaneously. These signals let you reach the GP at the formation stage rather than after they have already retained counsel through their personal network.
Compliance signals surface from regulatory filing deadlines, SEBI AIF renewal schedules, and compliance document expiry dates tracked in the entity graph. Companies and funds approaching compliance deadlines appear in the signals feed. This is particularly valuable for CA firms and compliance advisors who want to proactively reach clients before they face a compliance gap rather than after.
The 110,000+ contact records are linked to entity profiles — fund, GP, company — with name, title, email, LinkedIn, last active date, and role history. Role history shows who moved where, so you reach them at their current organisation, not the one they left two years ago. Every contact record has a confidence label — Verified for contacts confirmed through primary sources, Reported for those found through secondary sources.
If your cohort founders are on Capital Readiness, their VC Readiness Scores are visible in your partner dashboard. You can see at a glance which founders are ready for investor conversations and which have critical gaps to fix first. This replaces the subjective assessment of readiness with a quantified, consistently measured score across your entire cohort.
Intelligence fund discovery filters by stage, sector, and geography matching your cohort's profile. You see which funds are actively deploying at your founders' stage right now, which ones have backed similar companies, and what cheque sizes they write. Rather than making introductions based on personal relationships alone, you can systematically match each founder to the investors most likely to be interested — and show founders the signal data behind each recommendation.
Mentor Connect profiles are filterable by sector, stage, and geography. Your cohort founders can browse mentors themselves and book directly — no coordination overhead on your team. If your programme has its own mentors, they can list on Mentor Connect and earn from sessions booked by your cohort founders and founders anywhere on the platform. Your programme earns from sessions booked with mentors you refer to the platform.
Alumni tracking in Intelligence surfaces press coverage, new funding rounds, people moves, and company status changes for companies that have graduated from your programme. If alumni are linked to your programme's partner account on Capital Readiness, their ongoing data room updates and readiness scores remain visible to you. This gives you a live view of programme outcomes rather than relying on alumni self-reporting.