Mathematics
Uncertainty, robustness, sensitivity and data quality.
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.
PUBLIC · SYNTHETIC · REPRODUCIBLE
Turn one venture thesis into a ranked, reviewable shortlist.
Describe the decision boundary. Mathematics, Finance, Strategy and Marketing evaluate 6–12 synthetic opportunities with visible assumptions, evidence, risk and uncertainty. You stay in control.
FOUR PUBLIC AGENTS
Four perspectives. One inspectable disagreement.
Each specialist exposes its outputs, evidence, assumptions, calculations, criticism and limitations over synthetic data.
Finance
Economics, capital intensity and downside/base/upside scenarios.
Strategy
Problem definition, differentiation, timing and early experiments.
Marketing
Accessible demand, positioning, acquisition and adoption.
TRACEABLE PUBLIC FLOW
From human input to human review.
Every visible score, ranking and decision aid is connected to a documented public method or an explicit limitation.
- 1Signal and problem intakeHuman + Orchestrator
- 2Opportunity generationSimplified public orchestrator
- 3Mathematics analysisMathematics
- 4Finance analysisFinance
- 5Strategy analysisStrategy
- 6Marketing analysisMarketing
- 7Cross-agent critiqueFour public agents
- 8Quantitative laboratoryPublic demo models
- 9Ranking and human reviewHuman supervisor
INCLUDED
A real, bounded demonstration.
Deterministic generation, structured specialist outputs, transparent calculations, sensitivity, scenarios, comparison, export, local persistence and human review.
PUBLIC BOUNDARY
Useful for learning, not for investment approval.
The Lab uses synthetic data and demonstrative models. It does not predict startup success, deploy companies or expose the private product.