Founded in 2017, we enable complex multi-agent (robots) auto-missions with or without humans in the loop.
Our field proven solutions handle physical & virtual multi-agent and multi-action complex missions, taking into account agents common-mission goals.
In order to meet full autonomy and support real-life mission-critical tasks we use a unique combination of model-free deep-reinforcement-learning and model-based planning.
Planning & learning algorithms require fast and accurate digital-twin simulators.
Our Trained-By-Simulator and Sim-2-Real-Simulator support acceleration of more than 1000X, enabling cost effective training of multi-agent systems with reduced time-to-market and low-latency real-time planning.
The AiGENT-TECH team has a very rich track record of past successes in developing and deploying complex technology products.
With strong theoretical AI background & proven engineering know-how we create the smartest digital workforce of tomorrow