Company Performance Metrics
- Brian Gyovai: Founder & CEO
ResCon Technologies uses computationally efficient Machine Learning algorithms to create models of complex systems. Our approach achieves stunning fidelity despite using minimum power and data, making it ideal for edge computing applications like IoT sensors and drones. Our efficiency enables model training directly on the edge in real-time
without the need for a cloud connection or enormous datasets. Keeping data local saves time, power, and money, and inherently improves privacy and security. ResCon has created RAIN (Reservoir Aided Inertial Navigation), an embedded software package that uses ML to minimize errors in Position, Navigation, and Timing (PNT) components. RAIN's lightweight compute footprint allows it to run on ASIC and microcontroller hardware without impacting latency.
