If you run a law firm, a financial firm or any organization that handles confidential client data, you already know the rule: sensitive information doesn’t go to outside servers without strict controls. That rule has kept many firms on the sidelines of AI — or paying premium enterprise prices to the big AI labs to get the assurances they need.
There’s a better option. Using today’s best open models, we build custom solutions that accomplish the same goals — document review, research, drafting, analysis, client intake — on American or Canadian infrastructure with zero data retention, with as much as 99% savings on token cost. For the most sensitive work, we deploy models that run entirely on your own computers, so nothing leaves the building.
The capabilities of frontier AI, with the data discipline your clients expect.
Since 2009, we’ve built for institutions where the margin for error is slim — Harvard, MIT, Marriott, The World Bank, the Big Ten, and the Department of Defense. We bring that same rigor to private AI: careful scoping, systems that integrate with the tools you already use, and solutions your team can rely on every day.
Every engagement begins with careful scoping and a fixed project fee — no surprise invoices, no runaway hours. You’ll have clarity on cost and timeline from day one, which makes planning and internal approvals far simpler. And if anything shifts, we communicate early so you can keep your stakeholders informed.
If your data needs to stay private and your AI needs to deliver, we’d welcome the chance to meet you.