90% of businesses fail in 5 years. Most had a plan — none had validation. A financial consultant charges $1,500–$25,000 to stress-test your model. Quantis does it in 90 seconds with 95,500 real benchmarks. Free.
How Quantis Works — 3 Steps to Financial Clarity
Step 1: Describe Your Business Idea
Enter your business concept and target location. No financial background required — just your idea in plain language. Example: "Coffee shop with remote work focus in Denver, Colorado."
Step 2: AI Runs Financial Stress Tests
Our deterministic engine calculates 12 financial variables using 95,500 industry benchmarks, adjusted for your specific city. It runs Monte Carlo simulations with P10/P50/P90 percentile projections across revenue, costs, unit economics, and break-even timeline.
Step 3: Get Your Risk Report & Action Plan
Receive 3-scenario projections (conservative, realistic, optimistic), risk flags with severity ratings, and a clear action plan — in under 60 seconds. Every number is sourced and auditable.
What you get: Revenue projections, cost breakdown, break-even timeline, LTV:CAC ratio, risk flags, competitive landscape, and a step-by-step launch checklist.
Quantis Methodology — 95,500 Benchmarks & Monte Carlo Simulation
Data Sources
Quantis draws from 95,500 verified industry benchmarks sourced from the U.S. Small Business Administration (SBA), IBISWorld, U.S. Census Bureau, Bureau of Labor Statistics, OECD, and proprietary datasets. Data covers 100+ industry types across 50+ global cities.
Deterministic Financial Engine
Every projection uses a deterministic math engine — not AI hallucination. The engine calculates 12 financial variables: revenue, COGS, gross margin, operating expenses, net profit, break-even month, startup investment, payback period, LTV, CAC, LTV:CAC ratio, and monthly burn rate.
Monte Carlo Simulation
Each analysis runs 1,000 Monte Carlo simulations to produce P10 (pessimistic), P50 (realistic), and P90 (optimistic) projections. Revenue volatility, seasonality coefficients, and cost variance are modeled per industry and location.
7-Layer AI Safety Architecture
- Layer 1: Input sanitization & business type classification
- Layer 2: Benchmark matching with confidence scoring
- Layer 3: Location cost adjustment using city-specific multipliers
- Layer 4: Dual-AI consensus validation (two independent models must agree)
- Layer 5: Sanity checks — margin bounds, revenue-to-cost ratios, unit economics
- Layer 6: Reconciliation against historical analysis data
- Layer 7: Human-readable source attribution for every number
Business Analysis Examples — Real AI Reports by City & Industry
Browse 50+ complete AI-generated financial reports. Each example includes revenue projections, cost breakdown, risk flags, break-even timeline, and an action plan — powered by 95,500 real-world benchmarks.
A specialty coffee shop with remote work focus in Denver, CO. Projected monthly revenue of $28,500 with 62% gross margin. Break-even in month 8. Key risks: high rent in downtown locations ($4,800/mo), seasonal foot traffic variance of ±18%, and saturated market with 2,400+ coffee shops in metro Denver. LTV:CAC ratio of 4.2x. Startup investment: $85,000–$120,000.
B2B project management SaaS targeting small teams (5–25 employees). Monthly recurring revenue projection of $12,400 at month 12. Gross margin 82%. Break-even in month 14. Key risks: high CAC ($340 per customer), 4.8% monthly churn in first year, and intense competition from established players. LTV:CAC ratio of 3.1x. Startup investment: $45,000–$75,000.
Upscale farm-to-table dining in Miami's Wynwood district. Projected monthly revenue of $95,000 with 68% gross margin. Break-even in month 6. Key risks: high labor costs (38% of revenue), food waste at 8–12% without inventory management, and seasonal tourist dependency. Average check $52. Startup investment: $180,000–$280,000.
Management consulting firm in Manhattan targeting mid-market companies. Projected monthly revenue of $48,000 with 72% gross margin. Break-even in month 4. Key risks: client concentration (top 3 clients = 60%+ revenue), long sales cycles of 3–6 months, and high talent retention costs. LTV:CAC ratio of 6.8x. Startup investment: $35,000–$60,000.
Boutique fitness studio offering HIIT and yoga in West Hollywood. Projected monthly revenue of $38,000 with 65% gross margin. Break-even in month 7. Key risks: high rent ($8,200/mo), seasonal membership churn of 22% annually, and competition from ClassPass and at-home fitness apps. Average membership $159/mo. Startup investment: $120,000–$200,000.
General and cosmetic dental clinic in Dubai Marina. Projected monthly revenue of $62,000 with 58% gross margin. Break-even in month 9. Key risks: high equipment costs ($180,000+ initial), regulatory licensing requirements (DHA approval), and reliance on expat patient base. Average procedure value $420. Startup investment: $250,000–$400,000.
Gourmet taco truck operating in Austin's food truck parks. Projected monthly revenue of $22,000 with 64% gross margin. Break-even in month 5. Key risks: weather dependency, permit restrictions, and location competition. Average check $14. Low startup investment: $45,000–$80,000 makes this a high-ROI entry point.
DTC sustainable fashion brand selling online. Projected monthly revenue of $34,000 with 55% gross margin. Break-even in month 11. Key risks: high customer acquisition cost ($85 via Instagram/TikTok), return rate of 18–25%, and inventory management complexity. LTV:CAC ratio of 2.8x. Startup investment: $30,000–$65,000.
Residential real estate brokerage in Chicago's North Side. Projected monthly revenue of $42,000 with 45% gross margin. Break-even in month 5. Key risks: market cycle dependency, 6-month average deal close time, and agent retention. Average commission $8,400 per transaction. Startup investment: $25,000–$50,000.
Modern barbershop in Houston's Midtown. Projected monthly revenue of $28,000 with 72% gross margin. Break-even in month 4. Key risks: stylist retention (industry turnover 40%+), location foot traffic dependency, and price sensitivity. Average service $35. Low-risk, high-margin model. Startup investment: $40,000–$75,000.