ML/AIWork

For investors & deal teams

Know if the AI story is real — before you wire the money

Founders say they’re AI-first. The hiring tells the truth. We read a target’s public job postings — AI hiring velocity, the stack in the JDs, the model vendors they’re committing to — and hand you a clear memo in about five days. Built only from public sources, with no MNPI.

Request a diligence memo →See a sample memo

8,815 companies in coverage · public-sourced · no MNPI · ~5-day turnaround

The data room shows you the story they want to tell

What the pitch says

  • “We're hiring aggressively in AI” — with no way to check it.
  • A roadmap that assumes a team that may not actually be staffed.
  • A headcount slide curated for the raise.

What public hiring shows

  • Whether AI roles are actually open and growing — or quietly frozen.
  • The real stack and seniority mix behind the “AI-first” label.
  • A model vendor they've committed to and can't cheaply migrate off.

Inside the memo

Hiring velocity

AI roles opened over 12 months — accelerating, flat or quietly frozen, vs comparable companies.

Tech stack from the JDs

What the target actually builds with, read from required skills and tools across postings.

Model-vendor commitment

Which model vendors and frameworks the JDs name — where the engineering is really heading.

Seniority & location mix

A research bet, a productization push, or offshore scale-up? The role mix tells you which.

Why deal teams use it

  • Test the AI thesis with revealed behavior — what they hire for, not what management claims
  • Catch the gap between positioning and staffing — “AI-first” decks vs an actual frozen req list
  • No subscription, no point-in-time gate — order one when a deal needs it
  • Compliance-clean — public sources only, no MNPI, with a documented basis
  • Fits a live process — about five days, not a multi-week engagement

How it works

  1. 1

    Send the target

    Company name and domain — plus your deal timeline.

  2. 2

    We profile the hiring

    AI velocity, stack, model vendors and seniority, read from public postings.

  3. 3

    Memo in ~5 days

    Findings, charts and comparables — ready to drop into your IC pack.

Pricing

A mispriced AI bet costs far more than diligence. Commercial due-diligence runs $25K–500K a target; this is the AI-hiring angle most CDD misses, priced to add as a quick check.

Per memo
$5,000–10,000

Episodic — one target, ~5-day turnaround. Batch pricing for shortlists.

Request a diligence memo →See a sample memo

Questions

Is there any insider or MNPI risk?
No. Everything is built from openly visible public job postings — no logins, no private pages, no material non-public information. The documented basis is on How it’s built, so your compliance team can clear it.
What if the target is private or small?
We cover any company that posts publicly. Where coverage is thin we say so plainly rather than over-reading a handful of postings.
How fast?
About five days from the time you send the target.
Can you run a whole portfolio or a shortlist?
Yes — batch several targets, or re-run a target before a follow-on round.

Have a target in mind?

Send the company and we'll show you a sample of exactly what the memo reveals.

Request a diligence memo →Ongoing coverage instead?
n
43,675
as of
2026-06-14
version
v2026.06
geo
18 countries

Coverage spans 18 countries — the US, Canada, Australia and 15 European markets, led by the US, Germany and the UK. Built from public postings only — no logins, no private pages, no MNPI. Full basis on How it’s built.