
CyberSwarm builds neuromorphic AI systems that let autonomous devices learn and adapt locally with low power consumption. The company develops neuromorphic computing hardware and algorithms for edge deployment, emphasizing local processing, self-learning models, and energy-efficient inference. Its solutions target embedded IoT devices, robots, and automotive systems and are positioned as B2B edge-AI and embedded systems products. By minimizing cloud dependency, CyberSwarm enables on-device autonomy and improved data privacy for customers deploying distributed intelligent devices.

CyberSwarm builds neuromorphic AI systems that let autonomous devices learn and adapt locally with low power consumption. The company develops neuromorphic computing hardware and algorithms for edge deployment, emphasizing local processing, self-learning models, and energy-efficient inference. Its solutions target embedded IoT devices, robots, and automotive systems and are positioned as B2B edge-AI and embedded systems products. By minimizing cloud dependency, CyberSwarm enables on-device autonomy and improved data privacy for customers deploying distributed intelligent devices.
What they do: Develop neuromorphic "brain-on-a-chip" hardware and algorithms for low-power, on-device, self-learning edge AI
Founded: 2017
Headquarters: San Mateo, California, United States
Stage / funding: Seed (one reported round)
Team size: Approximately 6 employees
Edge AI / embedded intelligence where energy efficiency, local learning, and privacy are critical
2017
DeepTech
One reported seed round; public profiles redact or obfuscate amount
“Draper Associates listed as an investor”