Simulation
Controlled test environments.
PAMIR
Evidence-driven validation for autonomous systems.
An open, engineering-led framework for turning simulation and real-world data into repeatable validation evidence.
DATA. VALIDATION. REAL-WORLD IMPACT.
STATUS
Technical baseline active
CURRENT LANE
Evidence calibration
NEXT
External validation → pilot
01
The challenge
Autonomous systems are advancing — but proving them is hard.
Development, testing and deployment are often fragmented. PAMIR is being built to connect simulation, real-world logs and repeatable evaluation into one evidence-led validation workflow.
Complex environments
Fragmented data
Limited validation standards
Slow real-world deployment
02
Our approach
From data to real-world confidence.
A modular path that connects controlled testing, real-world data and measurable evidence.
→
Data
Real-world log collection.
→
Validation
Repeatable benchmark runs.
→
Evidence
Open and measurable outputs.
→
Deployment
Confidence for field operations.
03
Applications
A wider impact across autonomous systems.
UAVs
Aerial systems for inspection, mapping and field operations.
Robotics
Autonomous machines operating in complex environments.
Industrial autonomy
Validation for safety-critical and operational workflows.
Autonomous mobility
Evidence-led testing for mobile autonomous systems.
04
Validation / evidence
Transparent. Measurable. Open.
The production site will only publish verified PAMIR outputs. No invented benchmark figures, flight hours or performance claims.
Baselinev0.1 stable
Current developmentv0.2 evidence calibration
Evidence formatULog / benchmark artifacts
Next validation stageExternal log validation
Verified PAMIR telemetry / benchmark visual will be inserted here.
05
Roadmap
Build → validate → pilot → productise.
v0.1Stable baseline
v0.2Evidence calibration
External validationIndependent logs
PilotField deployment
ProductisationRepeatable platform
Investors
Building toward a €250k–€500k pre-seed round.
PAMIR is being prepared for the next stage of development, validation and pilot deployment. Funding language will remain clearly framed as a target until a round is formally opened.
Investor contact