Startup intelligence platform
Enter your numbers once. Four trained models and nine reasoning agents run in a single pass and hand back one board verdict.

The failure model is calibrated gradient boosting trained on 6,089 real YC and Failory outcomes. It reports its own confidence, and it shows the features that moved the prediction.

One run, thirteen steps
Failure probability, revenue forecast, funding readiness and health score are computed from your metrics before a single agent speaks.
Each agent receives its own quantitative lens, so it reasons over numbers no other seat is looking at. Specialisation, not prompt variation.
The chairperson reads the models and the debate together and returns a structured decision, plus a board memo you can hand over.

The Digital Twin applies a scenario to a copy of your company and re-runs the same trained models, so a decision is scored before you make it.
Hiring velocity, growth momentum, stagnation gap
Dilution, capital efficiency, valuation multiple
Burn multiple, net burn, default-alive math
ARPU, churn-implied lifetime, net revenue retention
TAM, SAM, SOM and your current share
Funding against stage peers, moat proxy, density
Outcomes trained on
Steps in one run
Seats at the table
Industries encoded
Three required fields. Everything else is optional, and nothing is invented to fill a gap.
Try now