Documentation
Understand how Venatri models business launch viability, or integrate our simulation engine into your own application via the REST API.
Quickstart
Enter your business details and get a full viability analysis in under 5 minutes.
Read moreMonte Carlo Engine
10,000 cash flow simulations varying revenue, expenses, and market conditions.
Read moreIndustry Survival Curves
Weibull/exponential fitting of BLS BED quarterly survival data by NAICS industry.
Read moreBreak-Even Analysis
Probability distribution of break-even timing rather than a single point estimate.
Read moreCash Runway
P10/P50/P90 runway estimates and probability of running out before break-even.
Read moreSBA Loan Scenarios
Model SBA 7(a) and 504 loans with actual rate spreads and guarantee fees.
Read moreAPI Endpoints
/v1/calculate/v1/report/v1/industries/v1/benchmarks/v1/signup/v1/login/v1/checkoutAuthentication
All API requests require an API key passed via the X-API-Key header.
curl https://venatri-api.smarttechinvest.com/v1/industries \ -H "X-API-Key: ven_your_api_key_here"
Monte Carlo Cash Flow Engine
Rather than a single deterministic cash flow projection, Venatri runs 10,000 simulated scenarios using distributions calibrated to your industry, state, and inputs.
Each iteration varies:
- Revenue ramp rate -- fitted from Census BDS cohort data
- Operating expense variance -- from IRS SOI industry data
- Customer acquisition cost -- stochastic uncertainty
- Seasonal revenue fluctuation -- industry-specific patterns
- Unexpected expense shocks -- fat-tailed distribution
- SBA loan interest rates -- from SBA 7(a) historical data
Industry Survival Curves
We fit Weibull and exponential survival distributions to BLS Business Employment Dynamics quarterly survival rate data by 2-digit NAICS industry. This produces 1-year, 3-year, 5-year, and 10-year survival probabilities adjusted for establishment size and state.
The survival curve provides the base rate against which your specific cash flow simulation is compared. A user with strong capitalization in a high-survival industry will see better outcomes than the base rate; undercapitalized ventures in high-failure industries will see worse.
Break-Even Under Uncertainty
For each Monte Carlo iteration, we calculate the month where cumulative revenue exceeds cumulative costs. The result is not a single break-even point but a probability distribution.
Output includes median break-even month, 25th/75th percentile range, and the probability of reaching break-even within 12, 24, and 36 months.
Cash Runway Calculator
Given initial capital (savings + loans + investment), monthly burn rate distribution, and revenue ramp, we calculate months of runway. Output: P10/P50/P90 runway in months and the probability of running out of cash before reaching break-even.
SBA Loan Scenario Modeler
We model SBA 7(a) and 504 loan scenarios with actual rate spreads, guarantee fees, and repayment terms from SBA historical data. The modeler shows how leverage affects runway, break-even timing, and failure probability -- helping founders decide whether debt financing improves or worsens their viability profile.