Optimize AI costs.
Never sacrifice intelligence.
Setta is the optimization layer for AI products. Our research team integrates the latest cost-cutting techniques the moment they emerge, simulates thousands of strategies against your workload, and deploys what wins. Up to 90% off your inference bill, and your AI gets sharper in the process.
- Average reduction
- Up to 90% across deployed workloads
- Time to integrate
- ~5 min no code changes
- Fee
- 0% until savings are verified
§ I
The cost ceiling teams keep hitting.
Every team building with large models eventually runs into the same wall. Spend compounds as workflows get more autonomous: more tools, more steps per task, more context dragged forward. What started as a clean API call is now five agents and a sub-agent paying for the same prefix forty times an hour.
The natural response is to assign your sharpest engineer to chase it. They’ll learn about prompt-cache discounts. They’ll read a thread about tool filtering. They’ll write a small internal tool to count tokens by route, ship a fix, and watch the spend rise again the next quarter because the model changed, the prompt changed, or a new technique appeared that they haven’t had time to study.
This is not a DevOps problem. It is a new category of work, and it changes every week.
§ II
How Setta thinks about it.
Cost tools today pick one technique (routing, compression, caching) and apply it everywhere. They work on the workloads they were designed for and fail silently on everything else. The savings look real on the marketing page; the regressions reach production six weeks later when a customer notices.
Setta is the optimization layer that adapts to your workload. Our research team is at the frontier of cost-cutting: prompt-cache choreography across every major provider, agent workflow compilation, semantic tool filtering, sub-agent context isolation, trace-based meta-tool synthesis. Each is workload-specific. None of it is something you should have to track.
For every workload Setta sees, we simulate thousands of optimization strategies against your real traces and deploy only the ones that win. No model swaps, no dropped context, no degraded quality.
- i.
Ingest your traces.
From LangSmith, Langfuse, or raw provider logs. Zero code changes.
- ii.
Simulate at frontier scale.
Thousands of candidate strategies replayed against your real traffic, scored on your real costs.
- iii.
Deploy what wins.
Setta ships the winning optimizations and keeps researching what’s next. Your AI gets cheaper and sharper every week.
§ III
What’s currently on the bench.
Setta’s research lab sits at the frontier of AI cost optimization. We integrate provider mechanisms the day they ship, productize techniques the academic community has just published, and invent optimization patterns nobody else has named yet. A selection from the stack currently in production:
| Technique | Mechanism | Monthly savings |
|---|---|---|
| Prompt-cache audit | Finds prefixes that should be cacheable but aren’t, tool defs placed where the cache breaks, and call sites where nobody noticed caching was an option. | $38,400 |
| Semantic tool filtering | Sends only the tools a given request would plausibly reach for. You stop paying for tool definitions the model never uses on that branch. | $21,500 |
| Workflow compilation | Detects tool sequences agents redo run after run and compiles them into deterministic shortcuts. The model is skipped only on steps that have already proven stable. | $15,800 |
| Sub-agent delegation | Isolates work in clean contexts and returns only the final answer. The parent agent never drags around the sub-agent’s scratch. | $7,900 |
| Trace-based meta-tools | When the same primitives recur in a stable pattern, they’re really one higher-level operation. Setta collapses the pattern into a single call. | $4,400 |
| Total saved · 88% of the bill | $88,000 | |
Plus 30+ techniques in active research, beta, or rolling production. The stack rebuilds every quarter.
What sets Setta apart.
Three things distinguish Setta from every other AI cost tool:
- Workload-specific intelligence. Most tools optimize the average workload. Setta optimizes yours, replaying your specific traces against thousands of candidate strategies and deploying only the winners.
- Full-cost optimization. Routers and gateways shrink input tokens. Setta optimizes total cost (input plus output) by making the model do less work, not by giving it less context.
- Performance-only pricing. We get paid when you save. No platform fee. No seat fee. No annual minimum.
§ IV
Questions we keep getting.
Setta reads your trace data, maps how your product calls models, and replays proposed optimizations against your real traffic to score them before applying. The optimizations that survive the replay get applied. The rest are dropped. It runs continuously, so when the frontier shifts the loop runs again.
§ V
Cut your bill, starting this quarter.
Join the companies cutting their AI bills with Setta. If your team is spending real money on inference and wants to see how much waste your traces are hiding, drop your details and we’ll be in touch within the day.