AI for when "good enough" is not an option.
For teams that build systems that must not fail, Sigil Logic operationalizes formal methods with AI agents and supported tooling, embedded in your everyday workflow.
The missing piece in today's AI toolchains
AI coding assistants are becoming table stakes in engineering teams.
But there's a reason LLMs aren’t helping you design nuclear reactor controllers or flight computers. Even without AI in the picture, traditional engineering processes struggle to guarantee predictable behavior. Add a nondeterministic and unverifiable assistant and you trade predictability for velocity.
Critical systems cannot tolerate that tradeoff. When failure is measured in lost lives or systemic collapse, the margin for error is zero.
The discipline behind dependable systems
Formal methods are the gold standard for building resilient systems. They are specification‑driven techniques and verification toolchains that create a through-line of certainty from requirements to implementation. They provide mathematical proof that your system does exactly what it should, and nothing it should not, with demonstrable correctness and security.
But formal methods have simply not been accessible to many teams. Historically they have demanded scarce talent, brittle tools, and timelines most products cannot afford. Safety- and mission-critical programs deploy formal methods regularly, but at a significant cost in calendar, headcount, and frustration—and still cover only a narrow slice of the system.
Formal methods, operationalized
We empower you to scale formal methods across teams.
Sigil Logic makes high assurance systems development practical and scalable. We turn fifty years of academic research into a powerful engineering capability: AI-driven formal methods and model-based engineering tools that integrate seamlessly into your workflows.
AI for Rigorous Digital Engineering
Sigil Logic Wingman is a multi-agent system that brings formal methods to every stage of development. Wingman agents embody the principles of Rigorous Digital Engineering (RDE), a methodology that combines applied formal methods and model-based engineering:
- They translate mission intent, CONOPS, and requirements into precise, machine-checkable specifications.
- They synthesize and validate architecture, product line, and behavioral models, and keep them consistent with the code.
- They derive code-level specifications and insert them into software, firmware, or hardware source code as types, contracts, invariants, and proofs.
- They orchestrate best-fit tools (e.g., Alloy, AADL/SysML, Verus, Kani, SAW) to produce counterexamples, tests, and proofs.
- They gate pull requests with continuous verification, and propose minimal, verified fixes.
- They maintain traceability and an auditable assurance case from requirement to commit.
We deliver a state-of-the-art formal methods toolchain drawing on technology funded by DARPA and the IC, and matured in Amazon-scale environments.
Integrated, unobtrusive, auditable
Wingman empowers your best people, amplifying their expertise and embedding a new discipline of rigor across your organization.
Our agents manifest as intelligent collaborators within VSCode, active participants in GitHub/GitLab pull requests, and powerful utilities on the command line. The experience is like having a senior verification expert on your team, offering suggestions, automating proofs, and providing clear, logical feedback. This augments human capability, allowing your best engineers to focus on creative solutions, confident in the logical foundation of their work.
Critical-grade assurance for every team
Whether you build avionics or a payments API, the cost of failure is converging on the same number: unacceptable. If you already practice formal methods, Wingman multiplies your impact with automation, orchestration, and always-on verification. For newcomers, Wingman gives you a practical way to adopt formal methods through RDE.
We believe this is the future of building systems that last.
This is engineering for the 21st century.