AI compiles public data. Human reviews for red flags.
Volume and enterprise pricing available · you set the budget per task
Before you spend 40 hours on full due diligence, someone should spend 2 hours checking whether there are obvious red flags. Founder history, litigation, inconsistent financial claims, regulatory issues — things a human spots that save the deal team weeks.
Via form, API, or SDK. From any workflow or AI agent.
AI compiles public data including news, filings, LinkedIn, and financial sources
Qualified reviewer (business or legal background preferred) reviews flagged items within your SLA. Credential requirements vary by task.
Structured decision. SHA-256 audit hash. Tamper-proof record.
Reviews compiled public data package (news, filings, LinkedIn, etc.)
Checks for litigation history, regulatory issues, or prior company failures
Verifies key financial or traction claims against available evidence
Identifies inconsistencies between pitch materials and public record
Produces a structured red-flag memo for the deal team
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: Qualified reviewer (business or legal background preferred)
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.