Core
Technologies.

AI
PerceptionComputer Vision & Sensing

Computer vision gives an autonomous system its eyes. We build perception capabilities for real operating conditions — variable lighting, motion, partial occlusion, and noisy sensor data.

We optimize for robustness, calibration accuracy, and field reliability over benchmark performance.

• Object detection & tracking
• Multi-object tracking pipelines
• Recognition & classification
• Scene understanding
• Multi-camera calibration
• Sensor fusion (EO / IR / lidar)

Edge
IntelligenceOn-device AI

Autonomous platforms have strict power, weight, and latency budgets. We deploy AI models on embedded hardware where decisions must happen close to the sensor — without round-trips to a cloud.

Compression, quantization, and runtime engineering for real platforms.

• Embedded inference runtimes
• Model quantization & pruning
• GPU / NPU / DSP targeting
• Latency & throughput tuning
• On-device pre-processing
• Adaptive inference graphs

Autonomous
Platform
SoftwareSense → Decide → Act

The connective tissue of an autonomous system. We build the software components that connect sensing, control, decision-making, telemetry, and mission execution into a coherent deployable system.

Architectures built for testability, modularity, and field upgrades.

• Autonomy software architecture
• Real-time control loops
• Mission execution logic
• Behavior & state management
• Sensor & actuator integration
• Onboard telemetry & logging

Operator &
Mission
InterfacesHuman-machine

Autonomy without good interfaces is fragile. We build the human-machine surfaces that let operators understand what the system is perceiving, deciding, and doing — and intervene when it matters.

Built for high-stakes, low-attention operating environments.

• Ground-control software
• Situational awareness displays
• Mission planning & tasking
• Live telemetry visualization
• Operator-in-the-loop control
• Multi-platform coordination UIs