Crowe Theorem
Every AI system today gets math wrong. Confidently. Crowe Theorem is the coupling that can't — a symbolic verifier that checks each reasoning step before the next one runs. Algebra, calculus, quantified claims, real-domain transcendentals, counterexample extraction.
What it does
Algebra, single-variable calculus, multi-variable derivatives, quantified statements, real-domain transcendentals (log, exp, trig). Symbolic, not numeric heuristics.
20 of 20 textbook claims accepted on first run. Failure mode is explicit refutation with counterexample, not silent acceptance.
Runs standalone as a Python verifier. Also exposes an MCP server so DeepParallel and other agents can verify sub-claims mid-reasoning instead of trusting a single LLM pass.
Want to compose it with your own model?
The MCP interface is the path. Point any MCP-aware agent at the verifier and your model stops being the last word on whether the math is right.