A deterministic visualization of synthetic information signals organizing around the four public specialist agents: Mathematics, Finance, Strategy and Marketing. The private product is outside this repository.
GUIDED PUBLIC ANALYSIS
Describe one venture question. Get a reviewable shortlist.
Configure the analysisSYSTEM AT A GLANCE
How Venture Governance Works
This public Lab demonstrates a simplified version of the Venture Governance architecture.
- 01Human Input
- 02Opportunity Generation
- 03Specialized AI Agents
- 04Quantitative Models
- 05Prioritization
- 06Human Review
HOW TO USE THE LAB
From a question to a human decision.
- 01Define the boundary
Describe the problem, thesis, market, technology, customer and constraints. Use a preset or replace every field with your own words.
- 02Search and run
Optionally capture current public technology and research signals, then generate 6–12 synthetic opportunities from a reproducible seed.
- 03Read signals together
Never read score alone. Compare evidence, risk, uncertainty and agent disagreement before opening an opportunity.
- 04Stress-test and decide
Change assumptions, compare up to three finalists, request evidence and record a human review state.
How does live research work? Mathematics, Finance, Strategy and Marketing each run a specialist query against a public Internet news index from the server. Result snippets are frozen as a dated snapshot; they guide questions but do not silently change scores.
HUMAN INTAKE
Define the exploration boundary.
The complete architecture, agent system, scoring logic and local implementation are proprietary and are not included in this demo. This Lab uses synthetic data and demonstrative quantitative models. When available, four trained synthetic classifiers run server-side in shadow mode without changing the public ranking. It does not constitute investment advice or predict startup success.