VC & innovation

Human judgment on what a score can't capture.

A model can rank a deck against a thesis. It can't tell you whether the founder is credible, the timing is right, or the traction is real. HumanAgent puts that judgment in the loop and returns it structured.

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How it works.

01
Your workflow or AI agent sends the decision
02
We route it to a qualified reviewer
03
They decide in a structured form
04
You get the decision plus a verifiable record

Use cases.

Market entry screening

Applications scored against eligibility criteria, with a person reviewing the borderline band.

  • Verifies the criteria the score handles least reliably
  • Checks entity structure, sector eligibility, documentation
  • Issues approve, park or reject with reasoning
Typical budget $15–60 per applicationRequest this review →

Innovation screening

Submissions pre-scored, then judged on what the score misses.

  • Applies domain judgment to team, timing and differentiation
  • Flags what structured data doesn't capture
  • Decides advance, revise or pass
Typical budget $20–75 per submissionRequest this review →

Deal flow qualifier

AI surfaces the top matches. A person decides which get a meeting.

  • Reviews thesis-match scores and supporting evidence
  • Applies judgment to team, market and timing
  • Decides advance or pass, with follow-up questions
Typical budget $20–75 per deckRequest this review →

Due diligence pre-screen

Compiled public data reviewed for red flags before the deal team sees it.

Typical budget $25–200 per companyTalk to us →

Don't see your use case?

If a decision in your workflow needs a qualified person to own it, we can route it. Or read how the API works.

Get a demo →API docs →