Anatomy
Your APIs, databases, docs, user flows, security policies — every relevant digital element becomes one typed entity graph: entities, fields, declared relationships. Deterministic and reproducible. Nothing guessed, nothing hallucinated in.
The deterministic control plane for AI
3 design partners · POC with Cisco · Powers onUI — built on Sioma
Agents
70% of every call is re-discovery — the model re-derives your endpoints, schemas, and rules from scratch, every single time.
Exact steps only. The intent resolves to the minimal sub-map; the model receives just what this request needs.
How it works
Your AI
agent/server"refund order #482"
Sioma Deterministic model
Your model
LLMClaude · 10–30% tokens
or any function
verified outcomes reinforce the map
Your APIs, databases, docs, user flows, security policies — every relevant digital element becomes one typed entity graph: entities, fields, declared relationships. Deterministic and reproducible. Nothing guessed, nothing hallucinated in.
Every intent resolves to the minimal sub-context it needs, with an honest status: serve when grounded, ask when ambiguous, none when nothing fits. Sioma never invents a path.
Verified outcomes reinforce the map; disuse decays it. Provisional answers are never served at high confidence until verified. Every call makes the next one sharper — per tenant, per user.
A layer, not a model
Provider-agnostic by construction — the core has zero provider imports. Sioma never executes your APIs and never holds your credentials or business data. The savings land on your model bill.
Why now
AI is going complex and mission-critical — and it re-discovers your systems on every single call.
Small models are now good enough to converse and follow execution steps. They just need the steps.
Sioma · the model that knows your business