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Built by one founder

Why FrugalAI Exists

Jake Bauman created FrugalAI after seeing model choice become a recurring engineering and finance problem. The product moves cost control into the request path, where routing, caching, attribution, and budget policy can act before an invoice arrives.

FrugalAI control room visualization showing provider signals entering a routing plane with budget, cache, and quality checkpoints

Budget pressure

Act before the invoice

Support58%
Extraction76%
Experiments92%
AlertDowngradeBlock

Control costs where requests actually happen

Provider dashboards explain charges after the fact. FrugalAI meters integer nanoUSD costs at the gateway, then applies routing, cache, and budget policy before eligible requests become provider bills.

Bundled demo fixture

Request decision ledger

WorkloadRequestedRoutedReasonCost
support-botclaude-fable-5claude-haiku-4-5enforce / chat$0.002299
codegen-ciautomoonshotai/kimi-k2-instruct-0905exact cache hit$0.000000
rag-searchautogemini-3-flash-previewlowest eligible$0.003301

Make model choice observable

Every request records its requested and routed model, provider, decision reason, policy mode, cache status, latency, cost, and baseline. That audit trail separates controlled optimization from a silent model swap.