Every task goes to the most expensive model
Classifying, extracting and summarizing don’t need a frontier model, but most teams send them there by default.
Open models in your cloud. Frontier labs only for the hardest work. Up to 80% lower token cost.
Takes a minute. Then pick a time that suits you.
lower token cost for an asset manager running on Tilde
lower price for leading open-weight models than comparable proprietary models
Artificial Analysis, April 2026enterprise generative AI spend in 2025, up from $11.5B in 2024
Menlo VenturesClassifying, extracting and summarizing don’t need a frontier model, but most teams send them there by default.
Usage is spread across teams, keys and vendors. You find out what AI cost when the invoice arrives.
Rolling AI out to more people looks unaffordable, so the programs that would pay back never start.
Route traffic through Operator and see what each team, person and agent costs today.
Shift the tasks open models handle well, and keep frontier models for the hard ones.
Give every person and agent a limit, so growth in use doesn’t become growth in surprises.
Leading open-weight models, chosen with you by task, license and origin. The weights run inside your network and don’t call home.
We test routing on your own examples before moving traffic, and send requests that need it to a frontier model.
A blocking budget stops further requests until the period rolls over. A flag-only budget records the spend and lets work continue.
For one asset manager, running work on Tilde cut token cost by up to 80%. Your saving depends on your workload. We’ll estimate it from your traffic in the demo.