Autonomous systems require accountability

PAMIR
turns reality
into evidence.

Deterministic incident reconstruction for mission-critical autonomous systems.

Real missions.
Real data.
Reproducible evidence.
PAMIR is a new type of evidence infrastructure

When autonomy fails, engineering teams need more than a score.

They need a defensible reconstruction of what happened — and why the available evidence supports that conclusion.

PAMIR works after the mission. It turns telemetry into inspectable evidence without controlling the vehicle, targeting or engagement.

The problem

Autonomous systems are complex. Failures are not always clear.

Commanded state, actual state, estimators, actuators and failsafes can diverge in milliseconds. PAMIR reconstructs those signals on one timeline.

ULOG TELEMETRY
EVENT RECONSTRUCTION
EVIDENCE CHAINT+ 468.3s

See the incident as evidence.

Not a black-box confidence score. PAMIR preserves the path from source telemetry to the material claim — including uncertainty, counterexamples and reproducible replay.

INCIDENT / PUBLIC HOLDOUT 001MODE / POST-MISSION
FIRST DEVIATION / t+468.303565s
NOMINAL FLIGHTsource telemetry
FIRST DEVIATIONestimator output tracking
CHAIN EVENTtemporal evidence
RESULTdeviation detected
Air

Unmanned & autonomous flight

From incident to inspectable evidence.

Land

Field autonomy

Operational reality, reconstructable.

Sea

Maritime autonomy

Complex missions, clear evidence.

Critical systems

Defence & infrastructure

Evidence that withstands scrutiny.

Evidence over assumptions.

BASELINE / 0.1

Frozen and reproducible

5 public incident ULogs and 3 healthy/control ULogs.

FROZEN
HOLDOUT / 001

Blind public holdout

Deviation detected. Root cause not ground-truth confirmed.

DETECTED
EXTERNAL / 001

Counterexample retained

Software-hardfault root remained outside telemetry-only reconstruction scope. No forced pass.

BOUNDARY
Institutional / pilot

Bring us a real autonomy problem.

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