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Operational Intelligence Systems

Sovereign AI
Infrastructure

Mission-ready intelligence systems engineered for autonomous surveillance, disconnected environments, and sovereign defence operational control.

Cooperative UAV swarm flying over a mountain ridgeline at dusk
Solution 01

Drone Swarm Autonomy

Cooperative UAV swarms with on-board inference, leader/follower behaviours, and self-healing mesh communications — engineered to operate in comms-denied, jammed, and GPS-degraded environments.

Swarm MeshOn-Board InferenceComms-Denied Ops
Close-up of a reconnaissance UAV with stereo cameras and IMU, terrain-map overlay
Solution 02

GPS-Denied Navigation

Visual-inertial odometry, terrain-relative navigation, magnetometer fusion, and on-board SLAM for autonomous platforms operating across mountains, canyons, dense forest, and indoor environments where GNSS is jammed, spoofed, or simply unavailable.

VIO / SLAMTerrain-Relative NavMagnetometer Fusion
Aerial CV-detection view of moving targets across a rugged mountain pass
Solution 03

Mountain Movement Detection

Multi-spectrum computer vision tuned for rugged terrain — detecting human, animal, and vehicle movement across high-altitude passes, ridgelines, and border zones. Lightweight models, edge-deployed, with thermal and EO/IR fusion.

Thermal + EO/IRBorder SurveillanceRugged Terrain
Abstract neural inference visualization representing on-device LLM execution
Solution 04

Open-Weight LLMs On-Device

Llama 3, Mistral, Qwen, Gemma, Phi, and DeepSeek — quantized to GGUF / AWQ and served air-gapped via llama.cpp, Ollama, and vLLM for tactical Q&A, after-action reporting, and intelligence summarisation. No cloud egress, ever.

Llama / Mistral / Qwenllama.cpp / Ollama / vLLMGGUF / AWQ
Heterogeneous edge AI compute rack with mixed NPU and SBC modules
Solution 05

Edge AI Runtime (Open Stack)

Vendor-neutral edge inference pipelines that target the right silicon per mission — NVIDIA Jetson, AMD Ryzen AI, Hailo, Rockchip NPU, Coral Edge TPU, and Raspberry Pi CM5 — built on open runtimes and signed model artefacts.

Jetson / Hailo / RK3588ONNX / TensorRT-LLMSigned Models
Operator monitoring tactical surveillance feeds with thermal imaging and object detection
Solution 06

Automated Surveillance

Real-time computer vision for tactical monitoring, perimeter intelligence, anomaly detection, and autonomous threat analysis across defence installations and forward operating bases.

Human DetectionVehicle TrackingThermal Analysis
Military command room with tactical wall display and analyst workstations
Solution 07

Tactical Command Systems

Secure operational infrastructure for telemetry visualisation, command coordination, and real-time mission intelligence across joint operations and swarm control.

TelemetrySwarm C2Secure Comms
Stack

What We Deploy On

We are deliberately vendor-neutral. Bixi Tech ships on the silicon, models, and runtimes that best fit the mission — open-weight LLMs, locally hosted, no cloud dependency.

Edge Compute & Silicon
  • NVIDIA Jetson
  • AMD Ryzen AI
  • Hailo
  • Rockchip RK3588
  • Raspberry Pi CM5
  • Coral Edge TPU
Open-Weight LLMs
  • Meta Llama 3
  • Mistral
  • Qwen
  • Google Gemma
  • Microsoft Phi
  • DeepSeek
Local Inference Runtimes
  • llama.cpp
  • Ollama
  • vLLM
  • ONNX Runtime
  • GGUF / AWQ
  • TensorRT-LLM
Drones & Robotics
  • ROS 2
  • PX4 Autopilot
  • ArduPilot
  • MAVLink
  • Zenoh
  • OpenCV

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Tailored Deployments For Defence Programmes

Every Bixi Tech deployment is configured to the specific operational, regulatory, and sovereignty requirements of the client organisation.

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