AI scores startups against your thesis. Human reviews top matches.
Your fund sees 500 inbound decks a quarter. Your AI scores them against your thesis and surfaces the top 20. But ‘fits thesis’ and ‘worth a call’ aren’t the same thing. A human with domain knowledge makes the call on which 5 get a meeting.
Via form, API, or SDK. From any workflow or AI agent.
AI scores startups against fund thesis, compiles public data, surfaces top matches
Investment analyst or qualified VC professional reviews flagged items within your SLA. Credential requirements vary by task.
Structured decision. SHA-256 audit hash. Tamper-proof record.
Reviews AI thesis-match scores and supporting evidence
Applies domain judgment to founders, team, and market timing
Checks for red flags not captured in structured data (vague traction, unclear differentiation)
Decides which deals advance to partner review vs. pass
Provides written reasoning and specific questions for follow-up calls
Verified professionals matched to the VC & Innovation category
Credential requirements vary — some tasks require specific certifications, others are open to all verified operators
Every review includes a SHA-256 audit hash for verification
Preferred credential for this use case: Investment analyst or qualified VC professional
This use case was built with the HumanAgent API. You can build your own version — customize the workflow, set your own pricing, integrate your own AI, and choose your operators.
Operator credential requirements vary by task. Some tasks are open to all verified operators.