Setta — Stop Overpaying for AI Inference
Setta analyzes your AI usage and automatically optimizes costs — so you can build smarter without spending more.
The Problem: Your Engineers Are Fighting Costs Instead of Building Product
Every company building with AI hits the same wall. Costs compound as you add agents, chains, and autonomous workflows — and suddenly your best engineers are hand-tuning prompts and running cost experiments instead of shipping features.
- New models and pricing changes — Monthly
- New optimization techniques emerging — Weekly
- Teams solving this from scratch — Every one
- Wrong optimizations that backfire — Common
How It Works: Understand First, Then Optimize
Point solutions apply techniques blindly. Setta analyzes how your product actually uses AI, tests what helps, and applies only what works — continuously.
01 — Analyze: Map Your Usage
Connects to your AI infrastructure and monitors every API call — mapping how models are used across your product to find the patterns of waste specific to your workload.
02 — Test and Optimize: Apply What Actually Works
The wrong optimization can cost you more than no optimization. Setta evaluates techniques against your specific cases and applies only what delivers real savings without breaking quality.
03 — Keep Up: Track the Frontier
New models, new APIs, new pricing, new optimization techniques — the landscape shifts monthly. Setta tracks all of it and adapts continuously, so your team never has to.
Optimization Techniques
- Model Routing — Task-aware selection across providers based on complexity, latency, and cost targets.
- Semantic Caching — Embedding-based similarity matching for near-duplicate requests.
- Prompt Compression — Automated token reduction, removing fillers, deduplicating context.
- Agent Workflow Compilation — Compiling recurring tool-call sequences into deterministic shortcuts that bypass the LLM.
- Semantic Tool Filtering — Vector search to send only the tools the model actually needs.
- Multi-Agent Pruning — Removing redundant agents without losing capability.
Results: Before and After Setta
Same product. Same quality. Fraction of the cost.
- Monthly API spend: $100,000 → $12,000
- Average latency: 1,200ms → 340ms
- Cache hit rate: 0% → 42%
- Token waste: ~35% → less than 3%
- Model routing: Manual → Automatic
Compatibility
Models: GPT-5.4, Claude Opus 4.6, Gemini 3.1 Pro, Llama 4, DeepSeek V4, Grok 4, Mistral Small 4, Qwen 3.6
Agent Frameworks: LangGraph, CrewAI, OpenAI Agents SDK, Google ADK, LlamaIndex, Dify, Smolagents, n8n
Coding Harnesses: Claude Code, Cursor, Copilot, OpenClaw, OpenAI Codex, Kilo Code, Cline, Devin, Antigravity, Kiro, Windsurf, Aider
Get Early Access
We are onboarding design partners now. Join the waitlist and we will reach out to discuss your setup.
Average cost reduction: 90%. Integration time: under 5 minutes. Code changes required: zero.