Partner with a team focused on custom computer vision and proprietary autonomy algorithms. We’re seeking defense OEMs, systems integrators, and government development programs for focused platform evaluations.
Proprietary AI vision models and modular autonomy capabilities spanning perception, navigation, planning, avoidance, and control. EI2 leads technology integration with your engineering team, starting with a defined capability and measurable success criteria.
Aircraft hardware, sensors, onboard compute, and platform engineering. EI2 and the partner agree on integration and validation responsibilities. Operators manage flight permissions, current restrictions, and operational responsibilities.
Agree on the mission, data, target objects, sensors, compute budget, and operating envelope. Use configuration records, structured diagnostics, and reproducible evaluation to assess detection results, navigation outcomes, failure responses, and latency within the tested scope.
Flight-controller adapters separate core autonomy from platform-specific interfaces. Current development centers on PX4 and ROS 2, with a limited ArduCopter control adapter implemented. ArduPilot autonomous navigation and camera avoidance remain unavailable. Compatibility is evaluated per configuration.
EI2 is a defense technology company developing and licensing proprietary AI models and autonomy capabilities. We integrate licensed components directly with customers’ compatible platforms, independently or together. We do not manufacture drones. Our models and algorithms remain proprietary; customers do not receive EI2’s proprietary source code.
Integration support includes capability selection, algorithm and compute configuration, diagnostics, and reproducible evaluation. Supported configurations, validation responsibilities, dependency licensing, and support are defined with each partner.
EI2 is a defense technology company developing proprietary AI vision and autonomy for unmanned aircraft. Current engineering includes PX4, ROS 2, simulation-based autonomy development, and computer vision model experiments. Supported autonomy capabilities include GPS-denied camera-and-IMU navigation and dynamic-object collision avoidance. Advanced multi-sensor localization fusion and robust operation in degraded environments remain development objectives. Model and capability maturity vary; production readiness is not established across all use cases.
Tell us about your platform and the perception, navigation, planning, or flight-control problem you want to solve.