Brain-CA Technologies
Category: AI Chips / Semiconductors
Developer of energy-efficient AI hardware and software using Cellular Automata technology for low-power intelligence Brain-CA Technologies was founded in 2023. The company is led by Steve Brunker. Based in Cincinnati, OH & Sarasota, FL. Team size: 1-10. Total funding raised: $7.2M. Latest round: Seed. Key investors include First Trust Capital Partners (lead); Nexigen (Jon Salisbury); undisclosed angel investors.
- Founded
- 2023
- Headquarters
- Cincinnati, OH & Sarasota, FL
- Team size
- 1-10
- Total funding
- $7.2M
Value proposition
Brain-CA Technologies replaces traditional neural-network-based AI with a Cellular Automata architecture that eliminates the Von Neumann bottleneck, dramatically reducing energy consumption while maintaining or improving AI/ML performance.
Products and solutions
Brain-CA Learning System (software prototype); Cellular Automata-based AI architecture; Estimator Module (patented); Teleomorphic Computing paradigm; Brain-CA chipset (in development); The Intelligence Shift (book)
Unique value
First AI architecture built on Cellular Automata principles that combines compute and memory in each cell, enabling learning without a CPU, dramatically lower power consumption, and true scalability — a fundamentally different approach from GPU-based neural networks.
Target customer
Edge AI device manufacturers, semiconductor companies, data center operators, and enterprises seeking energy-efficient AI inference solutions
Industries served
AI Hardware/Semiconductors; Edge Computing; Energy-Efficient Computing; Machine Learning Infrastructure
Technology advantage
Patented Cellular Automata architecture using hexagonal grid of cells with embedded memory and compute (Estimator Module); Binary decomposition & Cincinnati Algorithm; Observation-based learning without backpropagation; Relative cell addressing and dynamic wave propagation; No floating-point math needed; Designed for 1000x faster learning vs traditional AI.
How they differentiate
Unlike neuromorphic chips that mimic biological neurons (spiking neural networks) or traditional GPU-based AI, Brain-CA uses Cellular Automata — simple digital cells with local rules — eliminating complex math, backpropagation, and the Von Neumann bottleneck entirely. This enables AI that can run on minimal power without GPUs.
Main competitors
Applied Brain Research; Innatera; Synergies Intelligent Systems
Key partnerships
NVIDIA Inception Program; First Trust Capital Partners (lead investor); Nexigen (strategic relationship via Jon Salisbury, CEO)
Major milestones
2023: Company founded by Steve Brunker and Jerry Felix; 2024-05: Raised $2.2M seed round, joined NVIDIA Inception Program; 2024-08: Secured two US patents (No. 11847386B1 and No. 12050846B1); 2025-01: Set new benchmark in AI processor simulation with Cellular Automata technology; 2025-06: Unveiled innovations at ISCA 2025 in Tokyo; 2025-10: Initial close of $3M seed round; 2026-04: Closed oversubscribed $5M seed round led by First Trust Capital Partners
Growth metrics
Grew from 7 remote-first employees (May 2024) to ~10 total (2026); raised from $2.2M seed to $5M oversubscribed seed round; joined NVIDIA Inception Program (2024); secured two US patents
Market positioning
Early-stage disruptor in the energy-efficient AI chip space, positioning against both traditional GPU-based AI (NVIDIA) and neuromorphic computing approaches. Targets the growing demand for sustainable, low-power AI at the edge.
Geographic focus
United States (Cincinnati, OH and Sarasota, FL hubs), with global ambitions for chip manufacturing and licensing
Patents and IP
US Patent No. 11847386B1 and US Patent No. 12050846B1 for Cellular Automata-based AI and Teleomorphic Computing; nearly 300-page patent for microprocessor and cellular automata-based AI system
About Steve Brunker
Ex-CIO at Hillman Solutions (The Hillman Group) and LSI Industries; Fractional CIO Consultant. Former Hewlett-Packard veteran.
Official website: https://brain-ca.com