Carbide
Intelligence that compounds.
We think about how AI thinks. Most AI systems start from zero every time. We're solving for continuity — agents that remember, learn, and think clearly over time.
What we do
Clear thinking. Over time.
Agent Architecture
Most agent systems forget what they learned yesterday. We build agents with memory that consolidates, context that persists, and decisions that improve over time — the way biological cognition actually works.
Cognitive Assessment
Before building more, understand what you have. We audit agent deployments to find where context degrades, where decisions go unverified, and where governance gaps create silent risk.
Strategic Advisory
The hardest question isn't "can we automate this?" — it's "should we, and in what order?" We help teams sequence their agent strategy so each step compounds into the next.
Our approach
Continuity is the hard problem.
An agent that works for five minutes is a demo. An agent that works for five months — that remembers what it learned, builds on its own decisions, and gets more useful over time — that's what we're building toward. It requires neuroscience, not just engineering.
Insights
What we're learning.
Your Agent Doesn't Need a Bigger Brain — It Needs a Better One
What neuroscience teaches us about memory decay, consolidation, and why most agent memory systems are solving the wrong problem.
The Illusion of Done
Agents declare tasks complete without verification more often than you'd think. Here's what external verification loops look like in practice.
The Gap Between Demo and Production
An agent that works in a demo works for minutes. An agent that works in production works for months. The engineering is completely different.
About
Neuroscience background. Production experience. Both matter.
Carbide grew out of work at the intersection of neuroscience and AI systems. Our background in integrative physiology, psychology, and cognitive science shapes how we think about agent cognition — not as an engineering problem alone, but as a question about how memory forms, how context degrades, and how decisions should be verified. We've built these systems in production. The theory and the practice inform each other.
Contact
Let's talk.
If you're building or scaling agent systems and want a clear, pragmatic partner, we'd love to hear what you're working on.
[email protected]