Numorph provides analog‑AI and neuromorphic software that runs directly on event‑driven vision sensors, delivering ultra‑low power, sub‑millisecond inference for edge and extreme‑edge robotic applications. The platform offers real‑time reconfigurability, robustness to noisy or low‑light conditions, and compatibility with both digital and emerging neuromorphic hardware, enabling autonomous navigation, mapping, and security monitoring without GPS.
Funding
Funding not disclosed
Founders
Product
Problem
Edge and extreme‑edge robotic systems require visual intelligence that can operate with ultra‑low power and minimal latency, but existing digital AI models are too energy‑intensive and slow for battery‑constrained or latency‑critical applications such as event‑driven cameras and GPS‑denied navigation.
Solution
Numorph delivers analog‑AI and neuromorphic software that runs directly on event‑driven vision sensors, providing biologically inspired perception with power consumption comparable to insect brains. The software adapts in real time to changing lighting and environmental noise, maintaining accurate detection of relevant motions while ignoring irrelevant data. By leveraging the inherent sparsity of event streams, Numorph enables autonomous robots to navigate and map without GPS, offering 360° situational awareness and rapid reaction times. The platform is compatible with current digital pipelines and emerging neuromorphic hardware, allowing seamless integration into existing robotic stacks. Its configurable architecture lets customers tailor processing pipelines to specific use cases, from security monitoring in adverse weather to industrial inspection in confined spaces.
Target Audience
Primary customers are manufacturers of autonomous robots, drones, and edge‑deployed vision systems in sectors such as defense, aerospace, industrial automation, mining, and security monitoring.
Features
- Analog‑AI processing engine optimized for event‑driven cameras, delivering sub‑millisecond inference latency
- Ultra‑low power consumption achieved through bio‑inspired sparse coding and on‑sensor computation
- Real‑time reconfigurability to adjust detection thresholds and processing parameters based on local conditions
- Compatibility layer for both conventional digital vision pipelines and emerging neuromorphic sensor arrays
- Built‑in robustness to noisy and low‑light environments, supporting operation in dark, rainy, or foggy scenarios
- Modular API for integration with autonomous navigation, mapping, and safety‑monitoring applications