Squeeze the most out of your enterprise AI

Problem

Agents pay for the same context, again and again

History, tool output and code go back to the model on every turn.

Solution

It sits between the agent and the model and keeps what the task needs.

Why SOMA

Every request in a multi-step run is compressed, not once at the end.

Point the agent at SOMA. Nothing else changes.

One layer across harnesses and models, over the OpenAI and Anthropic APIs.

Technology

How SOMA handles your data, your agents and your bill, in detail.

Contact

For enterprise evaluations and investor enquiries, get in touch with our team.

Aleksander Muszyński