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The operational signals no one else is reading
See what you're buying before the company tells you
Know a company's real technical health, how mature its organisation truly is, and whether it's quietly losing focus — from public signals alone, before you ever make contact. The evidence a pitch deck will never show you.
How foundd.ai reads a company
Four principles that set it apart from standard due diligence.
Outside-in
Built from signals that are already public.
Continuous
Updated on a regular basis — same signals, tracked over time.
Unbiased
Forms on its own, without company input — founders can optionally add more.
Context
Compared to real peers — and honest when the comparison base is thin.
Where foundd.ai fits in your process
The same signal layer, read at every point where a company gets judged — from first look to ongoing oversight.
Screen before first contact
Get a read on any company's technical foundation and organisational maturity from public signals alone — no data room, no intro call needed.
Sharpen your diligence
Bring a peer-benchmarked view into the deal — one that surfaces what self-reported numbers and a polished deck leave out.
Monitor the portfolio
Watch operational health across every company as the score refreshes each cycle, with portfolio lists and cycle history in one view — so you catch a company drifting off track early.
Prove how you build
For founders: turn your technical and organisational strength into a verified score you can put in front of investors when you raise.
What foundd.ai measures
foundd.ai deliberately covers the two areas that early-stage diligence underweights and that are hardest to observe from the outside — the ones investors can't already read off a pitch deck.
Technology
The strength of the technical foundation, read from publicly observable footprint — infrastructure, certificate hygiene, security posture and vendor dependencies. Scored continuously against comparable companies.
Organisation
How mature the organisation really is for its size and complexity — hiring pace, engineering balance, commercial capability and how ownership is distributed. Always read relative to peers, never as raw headcount.
Focus Signal
Is the company building the one product it talks about — or does its visible infrastructure show several unannounced products built in parallel? That quiet sprawl is a recognised cause of startup failure, and it shows in the footprint long before it shows in the numbers.
Technology
Organisation
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Benchmarked against real peers
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Continuous health score
This isn't run once before a round. foundd.ai re-runs it in recurring cycles, turning due diligence into a continuous signal layer across the whole portfolio.
Why standard due diligence falls short
Investors assess startups on what the company chooses to reveal — at a single moment, and without anything to compare it against. That leaves four structural gaps. Each one maps directly to how foundd.ai works.
Who provides the data?
Self-reported → Outside-in. Standard diligence runs on numbers and access the company hands over. foundd.ai reads publicly observable signals instead, so the picture doesn't depend on the company's willingness to cooperate.
How often is it checked?
One-time → Continuous. Diligence is built around the moment before the deal. foundd.ai re-runs the same checks in recurring cycles, so the view stays current instead of ageing the day it's written.
How independent is it?
Company-controlled → Structurally hard to game. Even honest reporting is only as good as the company's willingness to show it. Signals drawn from public infrastructure exist whether or not the company points to them.
Is it comparable?
Raw numbers → Peer-benchmarked. A team of 15 means something different for a marketplace than for a regulated MedTech company. foundd.ai always reads a signal against companies of comparable complexity and maturity.
Every company can be read this way — no sign-up needed. Founders and investors can optionally add their own data to raise coverage; that never lowers what's already there.