The applied AI lab behind
professional services companies

We are the applied AI lab behind professional services companies. We build Trinity, our operating system, and Cornelius, its cognitive architecture, and we release both as open source. The intelligence that your company builds compounds and stays yours.

You can run the foundation yourself, or we can build and run your agents on it. As a partner, you can also deliver it to your own clients.

Agents take the repeat work in every department, from proposals to reporting. Your teams carry more client work with the same people. The company keeps what the agents collect.

Trinity is the open-source operating system for your company's AI. Your agents and workflows run on it with permissions, state and receipts, inside your own infrastructure. Trinity is governed, audited, scheduled, multi-user and recoverable.

Cornelius is the cognitive architecture of Trinity. It turns operational experience into knowledge the company keeps and builds on. The result is adaptive improvement inside strict governance.

There is no catch. The whole platform is Apache 2.0. You can self-host it, inspect it and extend it, free forever. There is no gated core.

You own it. It is your instance, and your agents live in your GitHub.

You can run it yourself, or we can run it for you. You can take it back at any time.

Both. You can self-host the open-source platform inside your own infrastructure. Or we can build your agents, run them in production, and maintain them as your business changes.

You own the platform in both cases. As a result, a move from managed to in-house needs no migration.

Behind every install, you get the platform, our methodology and blueprint library, training with a supervised first install, and last-line support.

Most teams build conventional agents once, and these agents decay. Our systems turn operational experience into knowledge the company keeps.

Cornelius compounds knowledge and ships its own improvements, with receipts. It does this under your control and behind human gates. It never ships an improvement on its own.

Most of the value comes from how you build and run the agents, not from the model. With Trinity, your agents belong to you, not to an AI vendor.

Those run workflows. Trinity runs agents that hold what your company knows. If you need a fixed workflow, an agent can run one.

Every agent follows business rules that you approve before deployment. Fixed guardrails (rules in code that the agent cannot change) keep it on your playbook.

Trinity logs every action with its full reasoning. You can see why the agent made each decision, and you can review, override or adjust any action.

In weeks. We start with one focused process, put the agent that runs it into production, and grow from there.

In our production deployments, we documented 70-95% time savings on the work that we automate. For example, the first response time of an EV charging client went from one business day to seven minutes.