A LabelNest Atlas briefing

The structured layer everything else is built on.

Atlas tracks companies, funds, deals, and the people behind them, structured, not scraped. It's also the same data layer Command reads for deal sourcing and Ascent reads for matching founders to capital, one source of truth instead of three products each keeping their own copy.

See what's built on it See every entity type
40K+
Entities tracked
12K+
Verified contacts
7
Entity types, one taxonomy
Daily
Signal cadence
Where Atlas fits

Think Preqin or PitchBook, rebuilt around relationships and people, and priced for a team, not an enterprise budget.

The category is a familiar one: structured private-market data for sourcing, diligence, and market mapping. What's different is what Atlas actually goes deep on, and who it's actually priced for.

🕸️ Relationship depth
A real graph of who's connected to whom, board seats, co-investments, shared history, not just a static profile per firm.
👤 People, as first-class data
The actual person behind a firm is a real, searchable entity of their own, not a name field buried inside a company record.
🔓 Priced to actually use
Access built for an individual analyst or a small team, not gated behind an enterprise sales call before you've even seen the product.

Which is why the real use cases span wider than one workflow: deal sourcing, market mapping, LP research, competitive benchmarking, and relationship intelligence, all on the same underlying layer.

The problem

Private market data is correct today and stale by the time you act on it.

Most tools either don't cover the long-tail of a fast-moving market, or update on a quarterly cycle that's already behind by the time a report ships. An analyst ends up spending more time reconciling name mismatches across three different sources than actually evaluating the opportunity in front of them.

🕸️
Every source, a different name for the same firm. Reconciling entities across spreadsheets and vendor exports eats the hours that should go to actual analysis.
📆
A leadership change you hear about weeks late. By the time a quarterly update mentions it, the relationship has already moved on.
🧩
No sense of who's actually connected to whom. A shared board seat or a co-investment history sits buried across documents nobody cross-references.
🔁
The same research, redone by every team. Sourcing, portfolio monitoring, and LP matching each rebuild their own version of the same market map.
The layer beneath

Not a standalone product. The layer three other products already read from.

When Command sources a new deal or matches a fund to the right LPs, it's reading Atlas's own GP, LP, and fund records directly, not a separate copy. When Ascent surfaces a funding opportunity for a founder, that's the same data too. One structured layer, several products drawing on it.

Atlas as the shared data layer Command and Ascent both read directly from Atlas's own GP, LP, fund, and company records Atlas GP · LP · Fund Company · Contact Command Deal sourcing, LP matching Ascent Funding opportunities Query Search Native to Atlas itself

Every arrow above is a real, working read, not a planned integration.

Every entity type

One taxonomy, covering the whole market map.

🏦
Capital Managers.
GPs, with strategy, track record, and team.
💰
Capital Providers.
LPs, with AUM, strategy, ticket size, and commitment history.
🚀
Capital Seekers.
Companies raising, at every stage.
🤝
Ecosystem Partners.
Service providers across the market.
🏗️
Ecosystem Builders.
Venture studios, with portfolio, programs, and alumni.
🧭
Market Facilitators.
The connectors and platforms operating across the ecosystem.
📊
Investment Funds, including BDCs.
Fund-level detail, with a dedicated view for business development companies.
👤
People.
The actual contacts behind every firm, tracked as their own real entity.
🎁
Grants & Competitions.
Non-dilutive funding programmes and startup competitions, tracked as their own real, searchable category, not a list someone maintains on the side.
Every detail page carries a real crowd-contribution widget, so anyone who knows an entity better than the record shows can flag it, instead of a correction sitting in an inbox somewhere.
Market activity

Not just records. A real feed of what's actually moving.

💵 Fundraises
Rounds as they happen, tied back to the real company and fund records behind them.
🚶 People Moves
Who just joined, left, or was promoted, across the firms you actually track.
📈 Sector Trends
Real activity rolled up by sector, built from actual company records, not a modeled estimate.
⚖️ Comparables
Real, named transactions to benchmark against, not a fabricated band by sector and size.
Use cases

The same layer, answering a different question for whoever's asking.

Emerging manager
Building an LP pipeline for a first fund: start from a pre-built Query Search card for emerging managers, then check each LP's own stated ticket size and sector focus before ever reaching out.
LP
Diligencing a GP: pull their real track record, then check the relationship graph for shared co-investors or board seats worth a reference call.
Founder
Raising a round: search grants and competitions in the same session as investors, non-dilutive and dilutive capital on the same map instead of two separate searches.
Advisor
Prepping a client meeting: track the target's own alerts for the week and skim sector trends, instead of piecing a briefing together from five different tabs.
Ecosystem builder
Scouting co-investors for a studio's next spinout: filter capital providers by stage and sector fit, then compare shortlisted firms side by side before the first call.
Relationships

Who's actually connected to whom, mapped, not remembered.

A real relationship graph
Every entity's known connections, labeled by the actual relationship type, not just a list of names.
Two ways to read it
Switch between a visual layout and a plain list, whichever answers the question faster.
AI insight, grounded in the actual network
A summary of what an entity's real connections suggest, generated from the relationships on file, not a guess.
Compare and shortlist
Put two entities side by side, or save a list to come back to, both grounded in the same real records.
Signals & alerts

Track an entity, and hear about it the same day something changes.

🚩
Real risk checks, not just news.
A disciplinary disclosure on a manager, or a portfolio company's revenue trend turning down, flagged automatically.
📰
News, classified by what it actually is.
Leadership, fund, deal, or regulatory, sorted automatically instead of one undifferentiated feed.
🔔
Track anything, get a real alert.
Follow a specific GP, LP, fund, or contact, and hear about a real update, not a digest of everything.
🔎
A separate signals feed for raw detection.
News and data-extraction changes surfaced as they're found, for anyone who wants the unfiltered view.
Observatory

Real research on real firms, published, not paywalled by default.

📖
Deep-dive reports on real firms.
Written research on specific GPs, funds, and other real market players, not a generic industry overview.
🆓
Free to browse.
No Atlas plan required just to read what's published, the paywall is per report, not at the door.
🔓
Unlock the one you need.
Pay for the specific report that matters to you, instead of a subscription to read one thing.
🌐
Its own home, same data underneath.
Observatory has its own space in the product, but every report is still grounded in Atlas's own real entity records, not a separate research pipeline with its own facts.
Ready when you are

One structured layer, reused everywhere it belongs.

Live today, not on a roadmap.

See the layer beneath