COG-AI · INDUSTRIAL COGNITION SYSTEMS — EST. 2026
We design, train, and deploy custom AI programs on Claude, Codex, and Gemini — from air-gapped local rigs to cloud fleets to robots on the factory floor.
We build on all three frontier stacks — and pick the right engine for your problem, not the fashionable one.
Agentic systems and deep-reasoning programs on the Claude family — Claude Code, MCP toolchains, and tool use in production.
Autonomous coding fleets on Codex and the GPT family — generation, review, and CI wired into the repos you already run.
Multimodal programs on Gemini — long-context analysis, vision, and native reach into the Google Cloud estate.
Custom AI programs, end to end — scoped like engineering projects and delivered with documentation, evals, and an off switch.
Delivery pipelines with AI in the loop — CI/CD, infrastructure as code, observability, and agents on call for incident response.
Fine-tune and serve open-weight models on your own hardware — air-gapped, private, and entirely yours.
Production inference at scale — autoscaled, monitored, and cost-metered from day one.
Perception and control for machines that move — vision models, sensor fusion, and safety interlocks that hold.
Products designed around the model rather than bolted onto it — agents, copilots, and autonomous workflows.
Every engagement runs the same instrumented line. A scoped problem goes in — a verified, documented production system comes out.
Three engagements, reported the way we run them — problem, build, measured result. Client names withheld under NDA.
Three ways to put the crew on your problem. Fixed scopes, visible pricing, no discovery-call theater.
One hard problem, one instrumented build. A working system and an eval report in weeks, not quarters.
Design to production on the delivery line — architecture, build, evals, deployment, and a documented handover.
We keep the fleet hot — monitoring, evals on every model revision, cost tuning, and an operator on call.
Custom AI is a people business — these are the operators who hold the wrench on your build.
Native-AI specialist and command line warrior. Architects the system, ships from the terminal, and is openly, incurably in love with Rust.
Set out to isolate kernels and accidentally built a whole operating system. It works. Enjoys the casual relationship between machine learning and automated stock trading.
Intelligence isn't magic. It's machinery — and machinery can be engineered, measured, and trusted.
Every claim our systems make is a part with a tolerance. We publish the spec sheet and the failure modes, not the sizzle reel.
If it can't be benchmarked, it doesn't ship. Cognition is an engineering discipline, and we run it like one — gauges on everything.
COG systems are built to know what they don't know — and to say so before you find out the hard way.
Autonomy is a setting, not a destiny. Every program we ship has a handle, a gauge, and an off switch — and the off switch works.
A live session on the COG line — or flip to DIAGNOSTIC and let the shell spec your build in four questions.
Tell us what you're up against. We reply within one business day — with an engineering opinion, not a sales deck.
REQUEST ACCESS — https://aistockbrah.github.io/COG-AI-WEBSITE/