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eios.
Physical AI assurance
Software can optimize. EIOS decides what it may physically cause.
A cross-system trust layer that turns real evidence, dependencies and current state into the operating boundary for autonomous control.
The missing layer
One physical truth layer. One operating boundary.
Optimizers choose actions. Policy runtimes enforce rules. EIOS determines what those rules must be for the actual physical environment.
EvidenceOne-lines, points, sequences, procedures.
ModelVerified dependencies, confidence, unknowns.
PreflightActions tested under normal and degraded states.
PolicyAllow, limit, escalate or deny.
State changes permission
Same action. Different state. Different permission.
The agent can be rational and still be physically wrong because its objective does not contain the whole environment.
Technical core
A typed physical authority graph.
Actions are evaluated through resources, states, policies, consequences and enforcement targets, with provenance attached to the edges that matter.
Evidence compilerTurns messy one-lines, point lists, sequences and configs into typed physical facts.
Provenance + uncertaintySeparates verified facts from inference and exposes what remains unknown.
Counterfactual engineTests the same proposed action against changing physical states.
Policy compilerConverts the operating envelope into machine-readable constraints for existing enforcement systems.
Product path
Preflight is where it starts.
Define the boundary before go-live. Then verify the model, monitor drift and continuously inform authority as the environment changes.
PREFLIGHT→VERIFY→MONITOR→AUTHORITY
Falsification
One bounded system. Try to break the thesis.
If EIOS cannot derive a material operating constraint that the current stack does not already encode, the thesis fails.
Ori Sagie, Founder
Founder and former CEO of Envoy Technologies, acquired by Blink Charging in 2023.
Founder and former CEO of Envoy Technologies, acquired by Blink Charging in 2023.