AI hallucination
Large language models produce code that looks right and sometimes isn't. In a flight controller or brake ECU, a subtle edge-case bug is a hazard, not a bug report. You need correctness you can prove, not correctness you hope for.
Apkallu Safe Studio pairs AI code generation with SMT-based formal verification and automated MC/DC test generation — so every line ships with the evidence your certification authority needs.
Safety-critical software under DO-178C or ISO 26262 takes years and costs millions — and general-purpose AI tools can't help, because plausible isn't the same as proven.
Large language models produce code that looks right and sometimes isn't. In a flight controller or brake ECU, a subtle edge-case bug is a hazard, not a bug report. You need correctness you can prove, not correctness you hope for.
Hand-crafting Modified Condition/Decision Coverage test cases is slow, error-prone, and can consume up to 40% of a certification budget. Every requirements change means doing much of it again.
Traceability matrices, test procedures, and coverage reports often take as long to produce as the code itself — and one broken trace link can stall a review with your DER for weeks.
Our pipeline uses AI as the proposal engine and mathematical proof as the gatekeeper. Nothing reaches your target unless it has been proven against your specification.
Define preconditions, postconditions, and invariants in ACSL, SPARK, or our specification DSL. The contract is the single source of truth for everything that follows.
Fine-tuned models generate implementations bounded by your contract, MISRA C:2012 rules, and your target architecture — never freeform, always inside the spec.
Z3, CVC5, Bitwuzla, and Yices race in parallel to discharge every proof obligation. When a candidate fails, counterexamples drive automatic repair — when it passes, correctness is proven, not sampled.
Constraint solvers derive test vectors where each condition independently affects each decision — unique-cause and masking MC/DC, coupled conditions handled, gaps flagged.
Cross-compile to ARM, PowerPC, or RISC-V, run on cycle-accurate emulators, and export DO-178C / ISO 26262 artifacts with full requirement-to-test traceability.
Four best-in-class solvers race every proof obligation; you get the fastest proof. Incremental solving keeps iteration tight, and counterexamples come back as concrete repair suggestions.
Unique-cause and masking MC/DC, coupled-condition handling, and coverage-gap analysis — produced by constraint solving instead of engineer-hours.
Cycle-accurate testing for ARM Cortex-M/R, PowerPC, RISC-V, and LEON3/4 via QEMU and Renode — with peripheral simulation and timing analysis, no bench hardware required.
Requirements traceability matrices, test procedure documents, and coverage reports generated automatically, formatted for DO-178C, ISO 26262, and IEC 61508 reviews.
Every generated candidate is checked against the full MISRA C:2012 rule set before it ever reaches a solver — deviations are documented, not discovered.
Dedicated infrastructure for defense and aerospace: private clusters, a FedRAMP authorization path, and full on-premises deployment. Your code never shares compute with another tenant.
We're in early access and pricing each engagement to fit. Tell us about your program and we'll put real numbers in front of you within two business days.
For small teams evaluating formal verification.
For teams actively shipping certified software.
For programs with dedicated requirements.
Early-access partners lock in launch pricing for 24 months.
Our team of formal-methods researchers and aerospace engineers will walk your program through the pipeline — with your specifications, on your target.