We make any AI cheaper and more reliable by modeling how your business works.

Any model · No retraining · No hallucinations

−90%
fewer tokens
1.71M → 167K
2.4×
faster answers
144s → 60s
+18 pts
more answers correct
51% → 69% of 77 tasks

Same agent, same model, same tasks — measured on gemini-3-1-flash-lite over a 77-task gold set with ground-truth answers. Read the benchmark

Don't take our word for it.
Benchmark your own agent.

The benchmark runs your agent's real workload twice — once exactly as it runs today, once through Sioma — and gives you the comparison.

Baseline
Sioma

98% fewer tokens in. Better answers out.

Tokens per task
Claude Sonnet
baseline 43k with Sioma 0.6k
−99%
Claude Haiku
baseline 43k with Sioma 0.7k
−98%
Gemini Flash
baseline 60k with Sioma 0.6k
−99%
Nova Lite
baseline 32k with Sioma 0.7k
−98%
Qwen 3B
baseline 108k with Sioma 0.8k
−99%
Answers correct
Baseline Sioma
48–85% correct
Qwen 3B · 48% Nova Lite · 60% Gemini Flash · 72% Claude Haiku · 78% Claude Sonnet · 85%
Qwen 3B with Sioma, 76% 81% · Nova 80% · Gemini Claude Haiku with Sioma, 86% Claude Sonnet with Sioma, 92%
76–92% correct
Benchmark my agent

How it works

Sioma builds you a dedicated model of your business from the systems you run. The model gets better every day your AI uses it.

Your AI

agent/server

"refund order #482"

Sioma Deterministic model

serve

Your model

LLM

Claude · 10–30% tokens

or any function

verified outcomes reinforce the map

01

Anatomy

Your APIs, databases, and flows become one typed map. Nothing guessed.

02

Focus

Each request gets only the slice it needs: serve, ask, or none. Never an invented path.

03

Memory

Verified outcomes sharpen the map. Disuse fades it.

A layer, not a model

Sioma works with any LLM provider and agent framework.

Anthropic· OpenAI-compatible· Bedrock· Vertex· Azure· Ollama· Vercel AI SDK· LangGraph· Google ADK· MCP· HTTP /v1·

Sioma · make any AI cheaper and more reliable