Pick one to open it. Atlas sits underneath all five others, so a relationship you see on one shows up on the rest automatically.
🧭
Atlas
The relationship-depth intelligence layer, 200K+ funds and 110K+ contacts.
🔭
Observatory
Published deep-dive reports on individual fund managers.
🌱
Ascent
Capital readiness for founders, the data room and investor matching.
⌘
Command
The fund's own workspace, from sourcing to the LP report.
🛰️
Orbit
Programme and application management for cohorts.
🛒
Exchange
The private-market data marketplace, escrow-backed.
🤝
Connect
Vetted mentors and service partners, plus how to partner with us.
🧭
NestLens Atlas
The layer every other NestLens product reads from
A structured, always-updating record of the private market, funds, LPs, service providers, venture platforms, and the people who move between them, with more relationship depth than a general data platform and priced so an emerging manager can actually use it, not just a global platform's biggest customers.
🏛 GP raising or deploying
💼 LP sourcing managers
⚖️ Service provider tracking mandates
📊 Research analyst or boutique firm
🎓 Accelerator or venture platform
👤 Individual, first-time access
📇
Nine entity types, one record each
🏛
Capital Managers & Providers.
GPs and LPs, with full relationship history.
🚀
Capital Seekers.
76K+ portfolio companies and startups.
⚖️
Ecosystem Partners.
12K+ legal, audit, and advisory service providers.
🎓
Ecosystem Builders.
1,600+ accelerators and venture studios.
🏦
Investment Funds, including BDCs.
Structured fund records, not just firm-level rollups.
👤
People.
110K+ contacts as first-class records, not a footnote on a firm page.
🌱
Grants & Competitions.
150+ non-dilutive capital sources tracked.
🏢
Market Facilitators.
Government and ecosystem bodies mapped alongside the rest.
📡
Market activity, not a static directory
💰
Fundraise tracking.
New raises as they're announced.
🔁
People moves.
Who just joined or left which fund.
📈
Sector trends.
Where capital is actually concentrating.
🔍
Comparables.
See who else looks like the fund or company you're evaluating.
🏷️
Confidence labels on every record.
Verified, reported, or inferred, so you know exactly how much to trust a field.
🕸️
A real relationship graph.
Who invested in whom, who sits on which board, who moved where.
🔔
Live signals & alerts.
Follow a firm and get notified when something on its record changes.
🔎
Query search.
Ask a plain question, get back the matching real records.
🎯
Built for more than one use case
🌱
Emerging manager
sourcing LPs who actually write cheques this size.
💼
LP
discovering managers before they're oversubscribed.
15+ published reports going deep on a single fund manager or family office, "Inside the Ecosystem" style, bidirectionally linked to that entity's Atlas record so a claim in the report can always be traced back to real data underneath it.
📋
What's actually inside a report
🏛
A full firm profile.
Team, thesis, portfolio pattern, and history in one document.
🔓
Three access tiers.
Public preview, a gated full version, and a preview-only summary depending on the report.
🔗
Bidirectional Atlas linking.
Every claim traces back to the underlying entity record.
🔢
Sequentially numbered.
A growing, citable library, not one-off write-ups.
💼 LP or allocator doing diligence
📰 Research analyst or journalist
🚀 Founder researching a fund before pitching
🌱
NestLens Ascent
Where a founder actually gets investor-ready
Ascent is where every founder builds a real, structured, investor-ready data room, gets matched against real investor data instead of a cold list, and shares the room under their own control. When a founder comes in through an Orbit-run programme, they land here already enrolled, no form re-typed twice.
15
Core data room sections
107
Core fields, cap table to IP
+1
Sector-specific section added on top
🗂️
The data room, section by section
🏢
Company identity, team, product.
Legal name, incorporation, founders, the actual problem and solution, market size, competitive landscape.
📊
Financials, traction, unit economics.
Revenue, burn, runway, customers, CAC, LTV, retention, the numbers an investor asks for first.
💰
Cap table & fundraising.
Round size, valuation, use of proceeds, the fully diluted cap table itself, ESOP pool.
⚖️
Legal, IP, employee documentation.
Litigation status, IP assignment, patents and trademarks, employee and consultant agreements.
🏛️
Company documents.
Certificate of incorporation, articles, founders agreement, board resolutions, good standing.
🛠️
Technology & architecture, pitch materials.
System architecture, product screenshots, the deck itself, an executive summary, a cover image.
🎯
Investor criteria & service partner needs.
What kind of investor and cheque size the founder is targeting, and where they know they need outside help.
🧭
Every field staged to the round.
Fields are marked pre-seed, seed, or Series A onward, so a pre-seed founder isn't asked for numbers they don't have yet.
🧬
A sector-specific section, on top of the core room
The core 15 sections are the same for every founder. On top of that, Ascent adds one section built for the startup's own sector, so a fintech founder is asked about licensing and a marketplace founder is asked about take rate, not a generic checklist.
These sector packs are built into Ascent's room today. A programme's own application form works differently, because Orbit's form builder lets an institution design whatever fields matter to it, so an incubator built entirely around social-impact startups can ask about beneficiaries reached, SDG alignment, and impact measurement right from the application, before the founder ever reaches the room.
Build
Data room and document vault: one real, structured place for every fact an investor will eventually ask for.
Target
Funding opportunities: real capital sources surfaced to the founder, matched against their own stage and sector.
Prepare
Readiness report, diagnostic report, benchmarks, and Ask Kai: a live score on how investor-ready the room actually is.
Share
Share with investors and analytics: a real shareable room, with visibility into who opened it and what they looked at.
Earn
Grants & schemes and sell on Exchange: non-dilutive capital surfaced alongside fundraising, and a real path to monetise the founder's own data once they choose to.
🤝
Mentor Connect built in.
Book real, vetted mentor time straight from the room.
✅
Verified audit.
A credibility signal an investor can trust at a glance.
🏫
Cohort pricing for accelerators.
A whole accelerator, incubator, or college E-Cell equipped at once.
Command is where a fund runs deal sourcing, diligence, the investment committee, portfolio tracking, and LP relations, all in one place, reading from the same structured market data Atlas maintains, so nothing gets re-typed into a second system.
🗂️
Fund workspace
🏛️
Fund data room.
One always-current, investor-facing room for the whole fund.
🗄️
Document vault.
Secure, organised storage for every fund document.
🧑💼
Team access.
Control exactly who on your team sees what.
✅
Task tracking.
Every open item and approval, owned and dated.
🏦
LP relations
💰
LP directory & commitments.
Every limited partner, their commitment, and their cadence.
📤
LP-specific views.
Each LP sees exactly what you've chosen to share with them.
📈
LP fundraising pipeline.
Raising your next fund? Track prospective LPs the same way you track deals.
🤝
New LP opportunities.
Surface capital sources you haven't approached yet.
🔍
Deal sourcing
🎯
Thesis-matched startups.
Companies that fit your stated thesis, surfaced for you.
🔎
Full market search.
Search the same structured layer Atlas maintains, without leaving Command.
📋
Deal pipeline.
Every deal, from first look to signed term sheet.
📝
Diligence & structuring
✅
Diligence tracker.
Checklists that carry a deal from interest to conviction.
📊
Comparable deal analysis.
Benchmark a new deal against comparable transactions.
📝
Term sheet tracker.
Every term sheet, live, through to close.
🧮
Cap table tracking.
Ownership, by company, kept current.
📈
Valuation tracking.
Save a new fair value and the fund's returns update on the spot.
🚀
Portfolio management
🏢
Portfolio company directory.
Health and metrics for every company, rolled up to the fund.
📅
Board meetings & calls.
Scheduled, tracked, with an AI-drafted prep brief built from real numbers and open items.
💵
Capital calls & distributions.
Track and reconcile every call and distribution.
🗳️
Investment committee & reporting
🗳️
Structured IC voting.
A real vote on a live deal, not a decision made over chat.
🧾
IC-ready reports.
Generated straight from your pipeline data.
📊
LP report.
The report your LPs actually receive, ready to send.
🏛️
Firm-wide view.
Every fund you run, rolled up into one picture.
🗞️
Meeting briefings
One click drafts a prep document straight from your own data, no assistant required to pull it together.
💰
LP briefing.
Relationship history, live fund performance, and talking points before a call.
🤝
Prospect briefing.
A live mandate-fit score against the market's LP data.
🗳️
IC prep.
Every deal awaiting a decision and the vote tally so far, in one page.
🏢
Portfolio company briefing.
Metrics, cap table, open items, and the last board meeting, before you dial in.
✨
Kai, the AI copilot woven through the workspace
🚩
Flags what needs attention.
Across the data room and the portfolio, before you have to go looking for it.
📝
Drafts your board prep.
Grounded in a company's real metrics and open tasks, not a template.
📈
Scores LP readiness.
A live completeness score against Family & Friends, Family Office, Institutional, and Sovereign benchmarks.
A branded public application form, real weighted scoring, multi-round evaluation, and a shortlist pipeline that activates straight into a real Ascent cohort seat, with no re-entering the same founder's data twice.
🧩
What's actually in the pipeline
📝
A real form builder.
Six field types, so a programme's own criteria, not a generic template, decide what an applicant answers.
⚖️
Weighted scoring and vetting tags.
A consistent rubric across every reviewer, not gut feel.
🔁
Sequential multi-round evaluation.
Screen, interview, and final rounds, each with its own scorecard.
📊
Manager and admin dashboards.
A real-time view of where every applicant sits in the funnel.
Buyers post a brief, verified sellers apply, and escrow-backed payment only releases once the work is approved, with masked identities, monitored messaging, and a real dispute path underneath. Open to individuals, not just registered firms.
✨
Why it's different from a generic freelance market
✅
Verified sellers only.
📋
Brief-first model.
Buyers describe the need, sellers respond to it.
🔁
Quarterly credit rollover.
Unused application credits don't just vanish.
🇮🇳
INR-first pricing.
🎯
Private-market specialisation.
Not a generic data marketplace.
👤
Open to individuals.
Not gated behind a registered firm.
🔐
Trust and protection, end to end
🪪
KYC
on every seller before they can list.
🔒
Escrow
holds payment until the work is approved.
🧪
Quality control
on delivered work before release.
🕶️
Masked identity
until both sides agree to reveal it.
👀
Monitored messaging
between buyer and seller.
⚖️
A real dispute path
if something goes wrong.
For buyers
AI teams, funds, and enterprises needing structured private-market data delivered, not scraped.
For sellers
Analysts, boutique research firms, and language specialists, paid on their own terms.
Connect matches a fund or founder already active on Ascent or Command with a real, vetted partner, a mentor for a working session, or a legal, audit, tax, or company-secretarial specialist for a specific piece of work. Every partner has a signed agreement, real availability, and full context on the engagement before the first call.
🎯
Mentor Connect
📝
A signed agreement.
Every mentor is under a real agreement before taking a session.
📅
Real availability.
Booked against an actual calendar, not a form that goes nowhere.
🧠
Pre-session context.
The mentor sees who they're meeting and why before the call starts.
💰
A transparent split.
Mentor, platform, and referring partner each take a defined share.
⚖️
Legal & Compliance
Audit
Legal
Compliance
Tax
Company secretarial
IP
Each partner runs their own service catalogue on Connect, so pricing and scope come straight from the specialist doing the work, not a generic markup.
🔍
Curated scouting
A real, Ascent-gated startup profile is sent by the LabelNest team to a vetted scouting partner, never a cold pitch and never a self-serve mandate list. Worth being direct about scope here: scouting today runs entirely on real Ascent data, it doesn't yet reach into Atlas.
Partner with LabelNest
Refer a fund, mentor a founder, or bring your cohort.
Referral programme
Refer a fund or founder and earn on what they subscribe to.
Become a Connect mentor
Real sessions with real founders and funds.
Cohort partnerships
Bring your accelerator or college onto Ascent or Orbit at cohort pricing.
NestHR started as an internal tool, LabelNest's own hiring, payroll, and people workspace. It worked well enough that keeping it to ourselves stopped making sense, so it's now a product anyone can run their own company on.
Eleven real modules covering the complete employee lifecycle, built for how Indian organisations actually run HR, not adapted from software designed for US teams.
🏢 Corporate edition · growing teams
🎓 Campus edition · placement cells
🧑🤝🧑
People.
Directory, GPS attendance with geofencing, leave, holidays, offline hires.
🎓
Placements.
Corporate jobs, college drives, screening, panels, and a real test builder.
📈
Performance.
Work logs, goals, review cycles, efficiency scoring, appreciations.
💰
Payroll.
Salary structures, payroll cycles, individual and team views.
📄
Documents.
16 letter templates, e-signed, plus policies in one place.
📚
Learning.
Catalogues, cohort paths, certificates, and a full internal onboarding curriculum.
📊
Analytics, including Ask AI.
A plain-language question in, a real answer from the org's own workforce data out.
🔄
Lifecycle.
Structured onboarding, probation, offboarding, and a real alumni access window.
🧾
Expenses.
Claims, approvals, assets, and a vendor partner list.
💬
Lumi, the built-in assistant.
Answers real questions about how the system works, in a tone that adjusts to who's asking.
🔐
Control.
Governance and a graduated permission model for admins.
Risk monitoring, both sides of what a business now holds
Two products, one waitlist. Sentinel Risk scores a private-market portfolio across five engines. Sentinel AI scores every deployed AI system across seven engines plus one composite.
Priced in INR. Clear starting points, not a quote you have to chase.
🎉 Early bird pricing for 2026. Offer closes January 1, 2027.
Atlas
Starting from ₹600 / firm
Unlock exactly the records you need, scale up as you go.
Ascent
₹14,999 access
₹19,999 · 25% off — full founder-track access, one price.
Command
Starting from ₹44,999
The fund's full workspace, from first close onward.
Orbit
Starting at ₹2,499 / mo
Orbit PM to run cohorts, Orbit OS (₹29,999/mo) for the full programme ERP.
Exchange
Free to buy · ₹19,999/yr to sell
Buyers join at no cost.
Connect
Revenue share
No listing fee, partners earn on completed work.
NestHR
₹799 / employee / yr
All 11 modules included.
Sentinel
Coming soon
Shared when you join the waitlist.
Enterprise or bundled pricing across products is reviewed personally by the founder, usually within two business days. partnerships@labelnest.in
FAQ
Straight answers.
Who built LabelNest and why? ▾
Founded by Ankit Kumar Suman, VP Data Quality at a global asset manager following its acquisition of a market-leading private market data platform, where he managed 35+ professionals across seven specialised units. Nine years inside the world's best private-market data organisations, he left in November 2025 to build the platform those companies never priced for emerging managers.
Do the products actually share data, or is that marketing? ▾
They share it. Atlas is the real data layer beneath Command, Ascent, and Exchange, so a relationship on one product shows up on the other automatically, no re-entry, no second database.
Is Sentinel live yet? ▾
Not yet, it's coming soon on a single waitlist covering both Sentinel Risk and Sentinel AI. Join from the Sentinel tab and pricing is shared directly.
How is Connect different from a directory? ▾
Every match is curated, not self-serve. A real profile already on Ascent or Command is sent to a vetted partner by the LabelNest team, so no cold pitches either way.
Why does NestHR exist alongside NestLens? ▾
NestHR started as LabelNest's own internal HR system. It worked well enough that we decided a tool this useful shouldn't stay internal, so it's now a separate product at nesthr.labelnest.in.
What does "confidence label" mean on an Atlas record? ▾
Every field is marked Verified, Reported, or Inferred, so you always know how much weight to give a number before you act on it.
Why do I have to give a real email to see the platform? ▾
Because everything past this page is real, live product detail, and we'd rather have an actual conversation with the people looking at it than count anonymous page views.