Funding
Funding not disclosed
Founders
Product
Problem
Complex, software‑defined systems in energy, space, and defense sectors lack provable guarantees that they will operate safely under all possible conditions. Traditional testing can only validate known scenarios and cannot ensure the absence of failures in unknown or adversarial situations.
Solution
Atalanta’s Argo platform applies mathematical AI to automatically generate formal proofs about the behavior of critical control software. By modeling system logic and operational constraints, Argo verifies that safety limits are never violated, that required human‑in‑the‑loop procedures are enforced, and that potential failure modes are identified before deployment. The platform delivers these guarantees at operational speed, enabling operators to assess safety continuously as conditions evolve. Results are presented as machine‑checkable proofs and actionable reports that integrate with existing engineering workflows, allowing rapid iteration without sacrificing rigor.
Target Audience
Primary customers are operators and engineers responsible for safety‑critical software in energy infrastructure, satellite communications, and defense systems, as well as the agencies that certify such systems.
Features
- Formal verification engine that translates control code and system models into mathematically provable specifications
- Automated safety constraint checking for real‑time enforcement of operational limits
- Human‑in‑the‑loop workflow validation to ensure required operator actions are modeled and verified
- Failure‑mode analysis that enumerates and ranks potential fault scenarios prior to fielding
- Domain‑specific libraries for energy grid, nuclear plant, satellite communications, and defense systems
- Scalable cloud‑based execution that delivers verification results at operational speeds
- Integration hooks for existing development toolchains and CI pipelines