Requirements, code, tests, docs, workflow, and release evidence move together.
High-assurance engineering for modern teams
Bring industrial-grade rigor into the AI age of software.
ReqProof takes ideas that used to live mainly in aerospace, automotive, and other safety-conscious environments and makes them operational for normal engineering teams: spec-driven development, workflow discipline, traceability, auditability, and formal checks where the model supports them.
Exploration can stay light. Real change can become explicit and reviewable.
The goal is controlled engineering intent, not prettier specification storage.
Thesis
Serious engineering ideas should not require serious legacy bureaucracy.
The problem is not only writing requirements. The problem is proving that the intended system, the implemented system, and the evidence around it still line up while development gets faster and more AI-assisted.
Spec-driven development instead of post-hoc explanation
Requirements become part of the engineering loop, not a document somebody updates after the real work already moved on.
Formal where justified, honest where not
ReqProof does not pretend that every artifact is formally proven. It proves what the model can support and keeps the rest explicit and auditable.
The control layer for AI-accelerated engineering
As code gets easier to generate, intent, workflow discipline, traceability, and reviewability become more important, not less.
What it is not
ReqProof is not a compliance-themed spreadsheet replacement. It is not a blanket claim that your entire program is mathematically correct. It is a system for making engineering intent, implementation, and evidence reviewable from the same repository state.
Product surface
Requirements management is the entry point, not the boundary.
The system matters because it links specification quality, implementation traceability, workflow gates, verification, documentation, and release distribution into one operational surface.
01
proof workflow and proof audit
Move from planning to change with explicit stages, then roll the state of the system into one audit that explains failures and how to rerun them.
workflow init
workflow check
audit --scope full
help for failing checks
02
proof trace and verification
Keep requirements linked to code, tests, and docs, and run solver-backed analysis where the component model is formalized enough to justify it.
trace autolink
coverage
suspect review
solver-backed checks
03
Release and install evidence
The shipped artifact should remain attributable. ReqProof publishes binary releases, embeds version provenance, and updates the install surface from the same automation path.
downloads.reqproof.com
Homebrew tap
macOS amd64 / arm64
Linux amd64 / arm64
Contact
If you want stronger control over what your team or your agents are changing, start here.
The useful conversations usually start with workflow control, traceable evidence, or spec-driven development under real delivery pressure.
Direct paths
Use the route that matches how you want to evaluate the system.
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