SBIR collaboration, technology partnerships, integration discussions, or questions about governed autonomy architecture.
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Flightworks Control is our open-source Ground Control Station for UAV operations. It's built in Swift using the SwiftVector architectural pattern — a deterministic control framework designed for safety-critical AI systems. It runs on-device, enabling real-time AI assistance while maintaining the auditability required for certification. Learn more at agentincommand.ai.
FireLaw is the first jurisdiction to exercise the full governance stack — overnight wildfire perimeter monitoring with multi-asset task leases, 4-tier escalation, and degraded mode discipline. It's the lead demo target for Flightworks Control. See the full architecture.
We provide a published SwiftVector whitepaper, FireLaw HLD and PRD, architecture diagrams, and the open-source Flightworks Control codebase. These are concrete, reviewable artifacts for technical evaluation — not slide decks.
Safety-critical systems require deterministic behavior, compile-time guarantees, and concurrency safety. Swift's type system, actor model, and performance characteristics make it well suited for on-device AI in regulated contexts. SwiftVector ensures AI agents can reason freely but cannot bypass safety checks.
The primary focus is Flightworks Control and the SwiftVector governance architecture. Field operations (thermal inspections, UAV mapping) are available for select pilot projects and inform real-world requirements.
For technology partnerships and SBIR collaborations, we work with organizations globally. Field pilot engagements are limited and typically U.S.-based.