Control surfaces first
Edge AI that touches physical systems needs rollback and kill switches by design. If a model misbehaves, operators must disable or revert it instantly without compromising safety or bricking devices.
Principled edge deployments
Align edge inference with AI principles: transparency, bias mitigation, security, and auditability. Controls prevent small glitches from becoming safety or compliance crises.
Human impact testing
Cognition-influencing tech requires rigorous testing. Human-machine synergy can uplift or undermine operator performance; monitoring and controls decide which outcome you get.
sys3(a)i POV: We approach critical systems work by stress-testing architectures, integrating observability and governance from day one, and designing sovereign or edge footprints where independence and continuity matter most.