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SkyLabs

SkyLabs provides a neuro‑symbolic platform that combines neural code‑generation agents with the BRiCk logic and the Rocq proof assistant to automatically produce formally verified C/C++ software.

Coral Gables, United StatesFounded 2024267K+ followers
Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Mission-critical software requires guarantees of correctness, but traditional AI coding agents produce code based on statistical inference without mathematical proof, leaving hidden bugs undetected. Verifying such AI-generated code manually is costly and error‑prone, making it difficult to trust autonomous code generation in safety‑sensitive domains.

Solution

SkyLabs offers a neuro‑symbolic platform where neural code generation agents collaborate with symbolic proof assistants to create formally verified software. The neural agents write and refine code, while the BRiCk logic and the Rocq proof assistant automatically validate the implementation against formal specifications. If a proof fails, a dedicated repair agent diagnoses the issue, tracing it to specification gaps or implementation errors and suggesting corrective changes. Human engineers remain in the loop, receiving continuous proof feedback and the ability to intervene when needed. This closed loop provides an end‑to‑end chain of assurance from high‑level requirements to deployed code, enabling AI‑generated software to meet the stringent reliability standards of mission‑critical systems.

Target Audience

Primary customers are engineering teams developing safety‑critical systems—such as aerospace, automotive, medical devices, and industrial control—who need mathematically guaranteed software correctness.

Features

  • Neural coding agents that generate and iteratively improve C/C++ code designed for formal verification
  • Integration of the BRiCk formal program logic with the Rocq proof assistant to automatically prove code correctness against specifications
  • Automated repair agent that detects proof failures, isolates faulty specifications or code, and proposes fixes
  • Continuous proof feedback loop that keeps human engineers informed and allows manual intervention when required
  • Open‑source verification stack (BRiCk) providing transparent, auditable foundations for the assurance process
This profile is AI-generated and may contain inaccuracies.