Agentic systems
Fleets of AI agents with memory, tools, and judgment. Not chatbots. Systems that hold state, coordinate, and carry operational work end to end.
Flinn Technologies builds agentic AI systems. Ask the firm what it builds, who runs it, or what it would build for you.
Fleets of AI agents with memory, tools, and judgment. Not chatbots. Systems that hold state, coordinate, and carry operational work end to end.
Fractional AI leadership. We help you decide what is worth building before you pay anyone to build it, including us. Working prototypes, not decks.
When the answer is a product, a dashboard, or the plumbing between systems, we build it clean and hand it over documented. Yours to run without us.
Infrastructure ready for the agentic age. Kubernetes, GitOps, CI quality gates, and the observability AI systems need to run in production. We streamline what you have and build what is missing.
These run today, in the open, under the Flinn Technologies name.
A personal scale agentic operating system: a chief of staff agent leading a staff of specialists that run research, design, engineering, and operations as one coordinated fleet. Our proving ground for everything we sell.
An AI powered content system for tabletop game masters. Campaign knowledge, generation, and session prep in one place, so the person running the table can stay at the table.
An agent harness built on a simple bet: no sessions, just files. High compression memory and explicit tool governance, so agents pick up exactly where they left off.
github.com/Grizzly-Endeavors/residuumBare metal to GitOps: Ansible, Kubernetes with Flux, observability, and secrets management as one versioned platform.
View on GitHub ↗A signed, versioned CI quality gate: static analysis, secret scanning, and supply chain checks in one container image. The gate is the reviewer.
View on GitHub ↗Semantic linting for the age of AI. Traditional linters check syntax; Ursix reviews intent, and it is built for CI pipelines, not chat.
View on GitHub ↗Eight years in the United States Air Force, then a career building and leading software. Product and AI lead in the IoT industry. Architect of M.A.V.E.N. He builds agent fleets the way other people keep gardens.
AI and DevOps. Author of Residuum. Kubernetes, infrastructure as code, and the discipline to keep production systems boring. The reason everything here stays up.
We scope small, build fast, and hand over systems you can run without us. No discovery phase theater, and nothing you pay for twice.
Tell us what you are trying to build, or what keeps breaking. We read everything and reply like people.
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