AI is the most expensive infrastructure most companies don't manage.

Every company building with LLMs ends up at the same place: an invoice from OpenAI, Anthropic, or Google that's two, three, ten times larger than last month, and no clear answer to which team spent what, which calls were necessary, or which models could have been cheaper.

Cloud computing went through this exact cycle a decade ago. It produced an entire industry, FinOps, dedicated to making cloud spend visible, attributable, and optimizable. AI doesn't have that yet. Most teams pick one premium model, call it for everything, and watch the bill compound.

Trimio is the FinOps layer for that gap. One URL change in your stack, and every call gets compressed, routed to the cheapest model that still hits your quality bar, and served from cache when it can be, with a per-request audit trail your CFO can sign off on.

Trimio is built by engineers and operators who have spent years inside large-scale AI systems, from the infrastructure layer of major cloud providers to the inference path of frontier-model products that serve millions of requests a day.

We've watched first-hand how AI bills get out of control: how a single prompt template change can 5× a model's token bill overnight, how "just use the best model" becomes the default that costs millions a year, how the visibility tooling teams need simply doesn't exist outside a few of the largest companies.

We're building the platform we wished we had. Opinionated where it matters: the proxy, the optimization engines, the audit trail. Pragmatic everywhere else: drop-in compatibility with the SDKs your team already uses.