We didn’t improve the architecture.
We replaced the assumptions.

Brain-CA Technologies is a fabless semiconductor company building Teleomorphic computing — a foundational alternative to neural network-based AI.

Founded in 2023 by two veteran technologists who met at Hewlett-Packard, Brain-CA started from a simple question: what if we approached AI as systems engineers instead of neuroscientists? The answer became three granted patents, eight peer-reviewed ISCA papers, and a proof-of-concept chip in fabrication at TSMC.

Our Story

Two HP veterans. One question that wouldn’t go away.

Jerry Felix and Steve Brunker met at Hewlett-Packard in the early 1980s — an era when computing was being reinvented from first principles. They spent decades in enterprise technology, watching AI evolve from a research curiosity into the defining infrastructure challenge of the century.

The question that led to Brain-CA wasn’t “how do we make neural networks better?” It was more fundamental: why are we modeling intelligence on biology at all? Biological neurons are the product of millions of years of evolutionary compromise. They are not optimized for computation. They are optimized for survival.

Teleomorphic computing starts from function rather than biology. What does intelligence actually need to do? Identify relationships. Update predictions. Act. Brain-CA’s architecture is designed entirely around those functions — with no inherited costs from biological structure.

Brain-CA Technologies was incorporated in 2023. Since then the team has secured three granted US patents, published eight peer-reviewed papers at ISCA workshops — the International Symposium on Computer Architecture — and moved from software simulation to physical chip fabrication at TSMC in Taiwan.

Founded

2023

Incorporated as a C corporation.

Headquarters

Cincinnati, OH & Sarasota, FL

Two founding locations, one architecture

Structure

Fabless Semiconductor Company

Design and IP — fabrication at TSMC

Capital raised

$7.2M total raised

$2.2M pre-seed · $5M seed round exceeded its $3M target

Recognition

Silicon Catalyst Semiconductor Accelerator

Admitted 2026 — the only incubator + accelerator focused exclusively on semiconductor and hardtech solutions

What We Believe

Three principles behind the architecture.

Brain-CA’s architecture isn’t a product of incremental optimization. It’s the result of starting over from first principles — and holding three beliefs that the incumbent paradigm doesn’t share.

01

Function Over Biology

Intelligence doesn’t need to look like a brain to work like one. Neural networks inherited the energy costs of biological computation because they were modeled on biological structure. Teleomorphic computing was never modeled on biology — so it never inherited those costs. The architecture is designed around what intelligence needs to do, not what a neuron looks like.

02

Energy Follows Information

Claude Shannon showed that information content is a measure of surprise — an expected outcome carries almost no information, while a surprising one carries a lot. Brain-CA’s Estimator only spends energy when it gains information. Expected inputs are free. Only the surprising ones cost anything. This isn’t a metaphor — it’s how the hardware physically behaves in CMOS.

03

Proof Before Promise

Every claim Brain-CA makes has a patent or a peer-reviewed paper behind it. Three granted US patents. Eight papers published at ISCA workshops across 2024, 2025, and 2026. A proof-of-concept chip in fabrication at TSMC. The foundation is built in public — not claimed in a deck.

The Name

CA isn’t one thing.
It’s everything we’re building.

The CA in Brain-CA was chosen deliberately — because it captures every dimension of what this architecture is and what it makes possible. Six meanings. One architecture.

Cincinnati Algorithm

The learning engine at the heart of the architecture — a single XOR operation per update that replaces backpropagation entirely.

Cellular Automata

The mathematical foundation — local rules producing global intelligence, the same principle behind complex systems in nature.

Compute Anywhere

The deployment promise — an architecture that runs on milliwatt power levels, from a medical implant to a data center, without a GPU or cloud connection.

Converge and Associate

The learning behavior — intelligence emerges at the intersection of ripple patterns, where signals from different inputs meet and converge.

Cellular Architecture

The physical structure — a tessellated grid of identical cells, each containing its own memory and logic, scaling without overhead.

Convergent AI

The destination — an AI that converges on truth from the ground up, through local interactions, without centralized control or cloud dependency.

We approached intelligence as systems engineers.
Not as neuroscientists.

That one shift in perspective is what makes the energy wall solvable — not as an engineering challenge
to optimize around, but as an architectural assumption to replace.

The Team

Built by people who’ve been here before.

Brain-CA was founded by technologists with decades of experience building, scaling, and commercializing enterprise technology — and the patience to start from first principles.

Steve Brunker Headshot

Steve Brunker

Chief Executive Officer & Co-Founder

Steve Brunker is spearheading the commercialization of Brain-CA’s Teleomorphic computing architecture. A proven technology executive, his tenure as CIO at publicly-traded Hillman Solutions and LSI Industries saw him direct major IT transformations and M&A integrations. Steve brings deep technology and business expertise to scale Brain-CA’s architecture from patented IP to deployed silicon.

Jerry Felix Headshot

Jerry Felix

Chief Architect & Co-Founder

Jerry Felix is the inventor behind Brain-CA’s Teleomorphic computing architecture and the holder of its foundational patents. A pioneering technologist with 40+ years in IT, Jerry spent 16 years at Hewlett-Packard where he authored a seminal cybersecurity paper and founded HP’s first Security Consulting offering. He later co-founded and led EC Link for 25 years. Jerry continues to drive Brain-CA’s technical direction and scientific output — including eight peer-reviewed papers at ISCA.

Carol Hibbard Headshot

Carol Hibbard

VP Technical Marketing

Carol Hibbard specializes in making complex technical ideas accessible to the audiences that need to act on them. As VP of Technical Marketing at Brain-CA, she brings 40+ years of experience from Hewlett-Packard, HPE, and Micro Focus in IT service management, technical enablement, and pre-sales consulting. A global trainer and industry innovator, Carol holds Bachelor’s and Master’s degrees in Mathematics from SUNY Potsdam.

  • Protected by 3 granted US patents
  • Presented at ISCA in 2024, 2025 & 2026

Where we are

Cincinnati, Ohio & Sarasota, Florida.

Brain-CA Technologies operates across two locations — both rooted in the Midwest and Gulf Coast technology communities that shaped the founders’ careers.

Headquarters

Cincinnati, Ohio

Home of the Cincinnati Algorithm — the learning engine at the heart of the architecture. Cincinnati’s engineering and manufacturing heritage is reflected in Brain-CA’s systems-first approach to AI design.

operations

Sarasota, Florida

Brain-CA’s Florida operations support the company’s commercialization and investor relations activities, connecting the architecture to the broader technology investment community.

Get in touch

Ready to learn more about Brain-CA?

Whether you’re an engineer evaluating the architecture, an investor exploring the opportunity,
or a researcher interested in collaborating — we’d like to hear from you.