Customer support agents
Support agents act on real orders, refunds, and accounts. Sioma serves each question only the part of your business it needs, so answers stay grounded and the model never invents an endpoint.
Use cases
Wherever an AI touches your systems, Sioma makes it cheaper and more reliable.
One layer serves every agent you run. These are the places teams plug it in first.
Internal copilots
Ops, finance, and engineering assistants work across many internal systems. Sioma hands each request the minimal slice it needs instead of your whole stack in every prompt.
Cutting AI spend
Most prompts carry context the model never uses. Serving only what each request needs cuts tokens hard, and lets smaller, cheaper models do work you used to give the big ones.
Agent platforms and MCP
Connect Claude, ChatGPT, or your own runtime over MCP or plain HTTP. One connection, and every agent shares the same always-improving model of your business.
Agents that act
Go past read-only. Your agent names an action, Sioma builds the call from what your spec declares, and a person approves it before anything changes. Off by default, enabled per workspace.
Deep dives on each of these are coming. Want yours measured first?
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