Executive Summary

Complex modular engineering systems (cryptography, DSP, telecom) require careful parameter selection and documentation, and mistakes lead to costly redesigns, compliance failures, or security incidents—pain felt most acutely by engineering teams in telecom, defense, and post-quantum migration projects. Today many of these teams rely on ad-hoc spreadsheets and manual reviews that produce no machine-verifiable evidence and lengthen procurement and certification cycles. You could build an API-first, cloud-native service that synthesizes parameter sets from formal models and constraints, emits machine-checkable proofs of correctness, and generates human-readable audit artifacts for procurement and compliance. The product would offer reproducible runs, CI/CD integrations, and domain-specific verification backends (e.g., crypto, signal processing) so teams can automate selection and demonstrate auditable outputs. The addressable market is roughly $600M ARR (10,000 engineering teams × ~$60K ACV) and is expanding due to procurement requirements for auditable engineering artifacts and the increased parameter complexity from post-quantum and advanced signal-processing standards; these trends underlie the high market (84/100) and revenue potential (88/100) scores. Cloud and CI adoption also lower friction for API-first tools compared with desktop/manual solutions. You can differentiate by combining provable-correctness guarantees and audit-grade artifacts with turnkey integrations and curated parameter libraries to deliver measurable reductions in review time and compliance risk versus spreadsheets. The biggest challenges are building flexible formal models across domains and landing initial pilots in regulated verticals, but a few successful reference customers could unlock rapid scaling across the 10k-team opportunity.

Market Opportunity

Provably-correct parameter selector for modular systems targets a $600M = 10,000 engineering teams × $60K ACV total addressable market with medium saturation and a year-over-year growth rate of 8% YoY (estimated based on increasing spend in embedded software, cryptographic engineering, and formal verification; source: industry analyst summaries and developer-tool growth trends).

Key trends driving demand: Formal verification and auditable engineering artifacts are becoming procurement requirements for telecom and defense vendors — this creates demand for tooling that produces verifiable outputs.; Post-quantum cryptography migration and more complex signal-processing standards are increasing the number of projects that need careful parameter selection.; Teams are moving engineering workflows to cloud and CI/CD, making API-first, reproducible tooling easier to adopt than manual or desktop-only solutions..

Key competitors include SageMath, Wolfram Mathematica / Wolfram Alpha, Specialized engineering consultancies / audit firms.

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Provably-correct parameter selector for modular systems

Executive Summary

Market Validation

Market Opportunity

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