1. Import and model
Bring in your contracts and implementation artifacts. Turing constructs a precise model scope.
Platform
How Turing works
Turing is a prover agent for critical software. It reads your contracts, drafts a formal specification with you, and searches for machine-checked proofs that the code satisfies each approved property across every input and every execution.
Differentiation
Why the approach is different
Turing uses a pure-functional stack with Haskell, Scala, and Coq to support cumulative proofs. Instead of treating verification as isolated theorem work, it composes reusable proof assets over time. The result is a verification base that survives refactors and re-checks cleanly as the code evolves.
Workflow
2. Review the specification
Approve properties in plain language, pseudocode, and formal form before proof search begins.
3. Prove continuously
Proof search runs under your budget cap and emits replayable artifacts for each solved property.
4. Re-check on every push
CI catches behavioral drift early so evidence stays aligned with the source of truth.
Outcomes
Three outcomes per property
Proven
A replayable, machine-checked theorem that any reviewer can independently verify.
Refuted
A concrete executable counterexample that reproduces the failing path so the issue is explicit.
Not yet proven
A transparent report that a property was not solved under the current spend cap and constraints.