NuMorph AI is a neuromorphic software company based in San Jose, California. The company develops ERN-AI, a perception-native analog-AI software layer that brings event-driven intelligence to conventional and neuromorphic vision sensors.
The company's approach is software-first. Rather than designing new silicon and waiting for a hardware adoption cycle, NuMorph delivers neuromorphic efficiency as software on hardware that is already installed — which maximizes speed to revenue and removes the primary barrier to customer adoption.
Positioning
NuMorph AI operates as a strategic B2B partner to global tier 1–3 system integrators in edge vision and multi-modal sensing and control.
The company is complementary to, not competitive with, neuromorphic computing, hardware platform, and chip companies. ERN-AI is a software layer; it runs on the silicon those companies build and increases the addressable value of that silicon.
Market Context
TAM — machine vision across industrial, aerospace, defense, humanoid robotics & drones
SAM — analog-AI software at the edge
SOM — early target products alone
Industrial computer vision is growing at a double-digit CAGR through the decade.
Sources: Fortune Business Insights (2024), Zion Market Research, and others.
Meet the Team
Dr. Deepak Srivastava holds a PhD in Quantum Physics and founded NuMorph AI to bring bio-inspired neuromorphic computing into industrial deployment.
He spent over a decade as Senior Scientist and Group Lead at NASA Ames Research Center, where he won the Feynman Prize in Nanotechnology (Theory) and the Eric Reisner Medal, led the Computational Nanotechnology Group to a world top-five ranking by MIT Technology Review, and published more than 100 technical papers alongside more than 100 invited talks.
He has since spent over a decade in C-level roles and entrepreneurship at Silicon Valley startups, covering technology R&D leadership, IP diligence and filing, product management, patent filing on materials and device design and optimization, and the management of IP and technology licensing, transfer, and scale-up.
Dr. M Arias
PhD in Computer Science. Over 25 years in computer vision, AR/VR/XR, and related software and hardware systems.
M Yoo
PhD studies in Physics. Over 30 years in the consumer electronics and camera module software and hardware industry, including LG Innotek.
Dr. S Kim
PhD in Marketing. Over 25 years in business development, alliances, M&A, venture, and strategy, including Samsung.
A Lu
MS in Electrical Engineering. Over 30 years as a global startup builder, venture capitalist, and technology business leader, including Infineon.
Core Technology R&D Team
NuMorph's engineering organization comprises PhDs and engineers focused on ALB development, array architecture, and integration.
Roadmap
The initial target is 100–1000× lower power and latency vision systems for 3-D physical AI.
Fast Integration with Existing Hardware Applications
Multi-modal ERN-AI software with ALB couplings, deployed through software-first integration applications. This phase requires no hardware change from the customer and establishes ERN-AI in production environments.
Clear Path to Silicon ASIC and Neuromorphic Hardware
FPGA and ASIC implementations, chips and sensors, and integration with neuromorphic chips and sensors as they mature. Multi-modal physical-AI software extends ERN-AI beyond vision.
Bio-Inspired 3-D Edge Physical-AI World Models
Low-power physical-AI software and hardware solutions built around 3-D world models generated and maintained at the edge.