PAMIR
Autonomous Systems / PAMILANGA
Drone operating in a mountainous environment
Evidence-driven validation

Prove autonomy.Before deployment.

PAMIR turns operational telemetry into repeatable, inspectable validation evidence for autonomous systems — from incident reconstruction to pilot-ready proof.

Baselinev0.1.0 frozen
External evidence3 / 3 clean-log PASS
Hard CI corpus5 incident + 3 control
NextEvidence pack → Pilot
The problem

Autonomous systems generate data. PAMIR turns it into evidence.

Validation becomes difficult when logs, incidents and test results live as disconnected artifacts. PAMIR creates a repeatable engineering path from operational telemetry to findings that can be inspected, reproduced and carried into pilot decisions.

Technology architecture

A validation pipeline,
not another dashboard.

Structured to support engineering investigation and evidence creation without changing the autonomous system's control logic.

01 / INPUT

Operational data

Flight logs, telemetry, simulation outputs and test artifacts.

02 / RECONSTRUCT

Incident reconstruction

Recover event context, sequence and relevant signal relationships.

03 / VALIDATE

Repeatable evaluation

Frozen policy and thresholds produce comparable validation runs.

04 / EVIDENCE

Inspectable evidence

Results are retained as reproducible engineering evidence.

05 / DECIDE

Pilot decision

Move from technical finding to a controlled validation pathway.

Application domains

Built around autonomy,
not one vehicle type.

PAMIR's evidence model is intended for systems where operational telemetry and post-test reconstruction matter: aerial, robotic, industrial and mobility platforms.

01

UAV systems

Flight-log reconstruction, state transitions, sensor consistency and evidence-grade validation workflows.

Drone in a field test environment
02

Industrial autonomy

Evidence workflows for automated machinery, robotic cells and operational anomalies in engineered environments.

Industrial robotic arm in manufacturing
03

Autonomous mobility

Post-run analysis and validation evidence for increasingly software-defined mobility systems.

Autonomous vehicle operating in an urban environment
Validation proof

Evidence first.
Claims second.

The current PAMIR baseline is deliberately conservative: a frozen reproducible v0.1.0 validation gate, a hard CI corpus, and a supplemental external clean-log validation batch.

3 / 3External clean-log validation batch — PASS.
5 + 3Hard CI corpus: five incident logs plus three healthy/control public ULogs.
v0.1.0Frozen, reproducible validation baseline. Policy and threshold semantics unchanged.
Evidence console

External clean-log batch

CASE #010External clean-log validation candidatePASS
CASE #011External clean-log validation candidatePASS
CASE #01291,052 samples · 475 signals · no material root identifiedPASS
Drone operating over a mountainous environment
Roadmap

From technical baseline
to pilot evidence.

Complete

Stable baseline

v0.1.0 frozen and reproducible.

Complete

External clean-log batch

Three clean cases completed with PASS results.

In progress

Evidence pack

Structure the validated material into a pilot-facing technical evidence package.

Next

Pilot program

Apply the workflow against a partner-defined autonomous-system validation problem.

PAMIR / PAMILANGA

Building validation infrastructure
for autonomous systems.

PAMIR is building toward a €250k–€500k pre-seed round while advancing from reproducible technical evidence toward pilot deployment.

pamir@pamilanga.com