San Francisco · Antler · AI cost optimization
We keep AI products compatible while making their model cost continuously improvable.
AI teams can add models, agents, and API spend faster than they can explain which route is serving the work, whether a cheaper candidate preserves quality, or where the real operating limits are.
QuotaFlow is the operating layer behind that work: evaluate the current baseline, test candidate routes, apply guardrails, and measure what changed.
Incubated in San Francisco by
Our story
We started QuotaFlow after seeing a recurring operating problem: model access was becoming part of every product, yet route decisions, quality trade-offs, and end-user cost were still scattered across provider consoles, internal harnesses, and opaque API bills.
The answer is not to force every workload through one provider. It is to keep the model choice and existing stack open while making the trade-offs explicit. A production agent can prioritize quality and fallback; a high-volume workflow can prioritize cost; a latency-sensitive product can hold a response-time floor.
QuotaFlow turns those requirements into an evaluation and routing loop, with usage, cost, limits, status, and savings evidence visible before and after use. We leave the continuous optimization to the system so the people building the product can focus on the value it delivers.
For partners, the same infrastructure can sit inside their product: they keep the customer relationship and workflow, while QuotaFlow continuously improves the routes underneath.
How we work
Principles behind an optimization layer people can understand and operate.
Keep the choice open
A team should be able to use the model family and source that suit the work, without accepting a hidden routing decision.
Make the trade-off explicit
Price, source, SLA, RPM, status, and fallback are operating conditions, not fine print.
Show the evidence
Optimization only works when builders, finance, and security can review the same route, usage, and savings facts.
Leave complexity to the system
People should set requirements and assign projects. The supply matching and route assembly should do the difficult work.