Executive Summary

Engineering teams at chipmakers, communications vendors, crypto firms, defense contractors and research labs spend weeks tuning module parameters (timing margins, crypto constants, routing/pacing settings) with little or no machine-checkable guarantees, producing integration failures and costly late rework. This pain affects an estimated 75,000 engineering teams globally and can convert small parameter changes into multi-week delays or multimillion-dollar redesigns. You could build an API-first, CLI-enabled SaaS that ingests modular specs and constraints, synthesizes provably-correct parameter sets with machine-checkable proofs or counterexamples, and emits deterministic artifacts for CI/CD. Include pre-built adapters for common stacks, a web UI for exploration, and professional services/white-glove onboarding targeting a $20K ACV. Market timing is strong: verification-first and shift-left trends plus preference for API-driven tooling create a $1.5B addressable market (75,000 teams × $20K) and explain the 88/100 revenue potential score—customers in these high-cost domains will pay to avoid late-stage fixes. Competitive differentiation comes from combining formal proofs, practical optimization, and seamless CI integration; be upfront that success requires heavy R&D, formal-methods credibility, and navigating long enterprise sales cycles, which you can mitigate by focusing initial go-to-market efforts on chipmakers and crypto labs to build compelling references.

Market Opportunity

Automated, provably-correct modular parameter selector for engineering stacks targets a $1.5B = 75,000 engineering teams × $20K ACV (global chipmakers, comms, crypto, defense, research labs) total addressable market with medium saturation and a year-over-year growth rate of 9% YoY (industry developer tools and verification segment growth; source: industry analyst reports and tooling adoption trends 2022-2025).

Key trends driving demand: Verification-first engineering — companies are investing in formal proofs, test certificates and reproducible verification as part of CI/CD, creating demand for automated provable tools.; Shift-left in hardware and crypto — verification effort moves earlier in the development cycle, increasing demand for tools that integrate into design flows and reduce late-stage rework.; API-first developer tooling — teams prefer cloud APIs and CLIs to embed heavy-lift math functions into existing pipelines, lowering friction for SaaS verification offerings.; Open-source math engines improving — advances in symbolic engines and SMT solvers reduce R&D cost and make commercial products focused on integration and auditing more valuable..

Key competitors include SageMath (open-source), Wolfram Research (Mathematica), NTL, PARI/GP and domain libraries.

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Automated, provably-correct modular parameter selector for engineering stacks

Executive Summary

Market Validation

Market Opportunity

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