Acme Intelligence
Smarter models, smaller bills.
Send each job to the model that fits it, let AI improve from what it learns at work, and apply budgets and policy to every AI app you run.
71% Of blind matchups won against Competitor A
64% Less spent per task than with Competitor A
57% Fewer tokens used per task than Competitor A
Auto routing
Top-tier answers without paying top-tier prices.
Most requests don't need the biggest model at full reasoning depth. Acme tests 30+ LLMs on everyday company tasks (beta) and sends each request to the one that best balances quality, price and capability (coming soon).
Continual learning
Gets better the longer you use it.
Typical AI memory catches only scraps of how a company works. Acme memory keeps absorbing company context, past assistant chats and gateway activity, then makes those lessons available to every connected tool over MCP.
Agent harness
Stays on track through long jobs.
A lean harness drives tools through code and keeps context in check with search and helper agents, so AI stays dependable across long, multi-step jobs.
Benchmarks
Better answers per dollar, by design.
Each task takes 57% fewer tokens with Acme than with Competitor A.
Mixing models brings the average price per million tokens well below one top-tier model.
From start to finish, a task costs 64% less with Acme than with Competitor A.