The Data Advantage for Mission-Critical C-UAS

We build high-quality, curated datasets to train drone detection models that work in the most challenging environments.

Drones are Real Bastards

Civilian infrastructure is critically vulnerable to drone attacks. Real-world operational environments present complex detection scenarios that challenge current AI systems.
Rapid, accurate detection is not a luxury, it's a necessity.

Kherson Region • Fuel Station Attack • First Responder Targeting

Source: Combat footage from Russian media showing drone attacks on civilian infrastructure. This represents the evolving threat landscape where drones are weaponized against soft targets and emergency responders.

Detection Challenges Observed

  • Critical infrastructure protection requirements
  • Complex multi-target engagement scenarios
  • Detection failure in cluttered visual environments
  • Rapid response time requirements for interception

Performance Metrics

87%
Detection failure in complex environments
3.2s
Average detection delay in cluttered scenes
68%
False positive rate with smoke/fire present

Infrastructure Protection

Critical infrastructure requires robust detection systems capable of operating in high-stress environments with multiple threat vectors.

Multi-Stage Scenarios

Complex operational scenarios involve sequential engagements requiring sustained detection capabilities across evolving conditions.

Environmental Noise

Visual noise from smoke, fire, and debris significantly degrades traditional computer vision algorithms trained on clean datasets.

Time-Critical Response

Detection-to-interception windows of 15-30 seconds require immediate, accurate identification with minimal false positives.

The Clear Sky Problem

AI models trained on clean, uncluttered datasets fail when deployed in complex operational environments.
We build training data and AI models that work in the real world, not just in perfect conditions.

See Our Solution

The Data Refinery Pipeline

Our automated AI pipeline transforms raw footage into production-ready training datasets

Aggregate

Stage 1 of 3

Collect real-world footage from diverse sources

Systematically ingest video from conflict zones, training exercises, and operational deployments. Our automated collection system processes thousands of hours of footage daily.

Multi-source ingestion pipeline
Automated content filtering
Metadata extraction and tagging
Quality assessment scoring