A marketplace of AI services built to solve the operational challenges that come with running large language models at scale.
SOMA is a marketplace of AI services built to solve the operational challenges that come with running large language models at scale.
The first service available through SOMA. It reduces the number of tokens required to produce equivalent model outputs - lower inference costs, faster responses, and significantly more usable space in any context window.
Context compression is the first step. SOMA is designed as a long-term platform where additional services will be introduced over time, each targeting a distinct layer of the AI infrastructure stack.
Here's context compression in action - reducing the same input down to its essential signal before it reaches the model.
Every service on SOMA operates as an open competition. Each provider builds its own implementation - a fine-tuned model, a learned encoder, or a proprietary pipeline - and competes to deliver the strongest result.
Outputs are continuously assessed by an evaluation layer that measures quality against efficiency. Providers delivering the best results capture a larger share of the network; weak implementations are filtered out automatically.
This architecture produces a system that improves on its own. Customers integrating with SOMA always receive the current best implementation of each service, with no engineering cost to swap providers or upgrade versions.