An independent R&D lab building open-source defense technology, autonomous systems, and edge AI. We operate at the intersection of software, hardware, and contested environments.
Bridging the gap between cutting-edge research and deployable systems. Every project starts with a hypothesis, ends with working code.
Flight controllers, SLAM-based navigation, swarm coordination protocols, and edge compute payloads for BVLOS operations.
Real-time neural network inference on constrained hardware. ONNX, TensorRT, and custom quantization for NVIDIA Jetson and FPGA targets.
C2 systems, sensor fusion pipelines, EW signal processing, and tactical mesh networking for contested environments.
Object detection, change detection, SAR imagery analysis, and multi-spectral classification for aerial and satellite feeds.
Developer tools, SDKs, and frameworks released under permissive licenses. Building in public, shipping fast, iterating with the community.
Vulnerability research, embedded systems security, firmware reverse engineering, and red team tooling for critical infrastructure.
Rigorous engineering process. Every system is designed to survive contact with the real world.
Literature review, threat modeling, simulation, and feasibility analysis. Define constraints before writing code.
→Rapid prototyping with hardware-in-the-loop testing. SITL/HITL validation before any field deployment.
→Performance profiling, adversarial testing, resource optimization for edge deployment. Make it survive.
→Production deployment, documentation, community release under permissive licenses. Build in the open.
Custom firmware, real-time control, sensor integration. We write code that talks directly to silicon.
Custom firmware for STM32-based flight controllers. PID tuning, sensor fusion with Kalman filters, fail-safe logic for autonomous operations.
Multi-sensor payload design: thermal cameras, LiDAR, gas sensors, SDR receivers. SPI/I2C/UART integration and real-time data pipelines.
Networked sensor nodes, mesh telemetry, tactical IoT. Wi-Fi/BLE/LoRa connectivity for distributed sensing and C2 networks.
Hardware-accelerated signal processing, video encoding, and crypto. Xilinx and Lattice targets for latency-critical applications.
Secure bootloaders, encrypted firmware updates, hardware root of trust. Anti-tamper design for field-deployed systems.
Custom BMS design, solar MPPT, ultra-low-power sleep modes. Maximizing endurance for long-duration autonomous missions.
AI that runs on 10 watts, survives GPS denial, and makes decisions in milliseconds. Not cloud-dependent. Not theoretical.
Custom-trained models optimized for Jetson, Coral, and FPGA targets. No cloud dependency, no latency penalty.
GPS-denied navigation using stereo vision, IMU fusion, and learned depth estimation for indoor and contested environments.
Distributed consensus algorithms for drone swarm operations. Mesh networking, task allocation, and collision avoidance.
Natural language mission specification translated to executable flight plans. Integrating foundation models with real-time telemetry.
We believe defense tech and critical infrastructure software should be auditable, forkable, and community-driven.
Lightweight object detection framework optimized for ARM/CUDA edge devices. TensorRT & ONNX Runtime backends.
Protocol implementation for multi-UAV coordination. Distributed consensus, mesh networking, and formation control.
High-performance MAVLink bridge with WebSocket API. Real-time telemetry streaming for ground station applications.
SDR signal processing toolkit. Spectrum analysis, protocol decoders, and RF fingerprinting for research and education.
Minimal Visual SLAM implementation for resource-constrained platforms. Stereo + IMU fusion with loop closure.
Ad-hoc mesh networking daemon for tactical communications. LoRa and Wi-Fi backends with automatic routing.
We selectively partner on research programs, joint development, and defense innovation initiatives. If you're working on a hard problem in autonomy, edge AI, or ISR — reach out.