Edge Infrastructure
Built For Operational Reliability
Secure AI infrastructure engineered for disconnected, hostile, and mission-critical defence environments where sovereignty, resilience, and low-latency intelligence are operational requirements.
Infrastructure Designed For The Edge
Ruggedised compute, sealed enclosures, and signed firmware stacks built to operate in the harshest defence environments without external network dependencies.

Defence-Grade Stack
Heterogeneous Edge Silicon
Jetson, AMD Ryzen AI, Hailo, Rockchip NPU, Coral, and Raspberry Pi CM5 — picked per mission, not per vendor.
Open-Weight LLMs
Llama, Mistral, Qwen, Gemma, Phi and DeepSeek served locally via llama.cpp, Ollama, and vLLM. Zero cloud egress.
Drone Swarm Stack
ROS 2, PX4, ArduPilot, MAVLink, and Zenoh — cooperative autonomy with self-healing mesh comms.
Edge Processing
Distributed inference nodes running natively at the tactical edge without cloud dependency.
Sensor & Swarm Fusion
EO/IR, radar, acoustic, SIGINT and peer-UAV telemetry fused into one operational picture.
Open Runtime Stack
llama.cpp, Ollama, vLLM, ONNX Runtime, TensorRT-LLM, OpenCV — signed model artefacts, OTA over disconnected networks.
Mil-Spec Hardware
MIL-STD aligned enclosures and storage for sustained operation in contested environments.

Built In Sovereign Facilities
Hardware assembly, firmware imprint, and supply-chain validation conducted in controlled facilities under defence-aligned compliance regimes.

Air-Gapped Storage. Zero External Egress.
Mission data resides in mirrored, signed, locally-controlled vaults — physically and logically isolated from public cloud infrastructure, with full chain-of-custody enforcement.

One Operational Picture
EO/IR, radar, acoustic, SIGINT, ground sensor streams, and peer-UAV telemetry collapsed into a single tactical surface — processed at the edge, surfaced in seconds. Built on open foundations: ROS 2, PX4, MAVLink, Zenoh, Ollama, llama.cpp, vLLM, ONNX Runtime, OpenCV, and FAISS.
No Single Vendor. No Cloud.
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.
- NVIDIA Jetson
- AMD Ryzen AI
- Hailo
- Rockchip RK3588
- Raspberry Pi CM5
- Coral Edge TPU
- Meta Llama 3
- Mistral
- Qwen
- Google Gemma
- Microsoft Phi
- DeepSeek
- llama.cpp
- Ollama
- vLLM
- ONNX Runtime
- GGUF / AWQ
- TensorRT-LLM
- ROS 2
- PX4 Autopilot
- ArduPilot
- MAVLink
- Zenoh
- OpenCV
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