Technology

Perceive, act, connect, coordinate — all at the edge

Our stack is built for contested environments: processing happens onboard, links are assumed to be degraded, and every interface is open so the capability drops into an existing architecture.

Edge AI perception

Detection, classification, tracking and re-identification run onboard the platform on NVIDIA Jetson class compute, so target information survives datalink loss and jamming.

  • EO and IR pipelines, day and night
  • Persistent multi-target tracking with stable IDs
  • Third-party detector and model integration
  • STANAG 4609 / VMTI metadata output

Onboard autonomy

GNSS-denied navigation, obstacle avoidance and mission execution for drones, UGVs and robotic dogs, decoupled from the operator's continuous attention.

  • Visual and inertial navigation without GNSS
  • Obstacle detection and avoidance
  • Waypoint, route and behaviour execution
  • Target following and precision approach

Resilient tactical links

Low-latency video and control over RF, mesh and cellular bearers, with adaptive encoding that degrades gracefully instead of dropping the mission.

  • Bandwidth-adaptive H.264/H.265 encoding
  • Low-latency teleoperation for UGVs and robotic dogs
  • Mesh and MANET radio compatibility
  • Recording and after-action review

Multi-robot command and control

NOMAD fuses tracks, telemetry and video from multiple platforms into one operational picture, and cross-cues into existing C2 including ATAK.

  • Single operator, multiple heterogeneous platforms
  • Shared map, tracks and mission tasking
  • ATAK and third-party C2 integration
  • Open interfaces: ROS, MAVLink, JSON, STANAG

Deployment and integration principles

  • Edge-first: no dependency on cloud processing
  • Open interfaces: ROS, MAVLink, RTSP, JSON, STANAG 4609
  • Platform-agnostic across UAS, UGV and robotic dogs
  • SWaP-conscious hardware for tactical payload budgets
  • Modular: adopt one layer or the full stack
  • Field-upgradable models and mission configurations

Systems built on this stack

Discuss your platform and mission

Tell us the platform, sensor and mission. We will walk you through integration options and arrange a technical demonstration.