Self-hosted inference for search & document processing

Superlinked builds SIE — a small-model inference engine that runs 85+ state-of-the-art models in your own cloud. We help teams cut API costs by 50x while keeping full control of their data and infrastructure.

Instead of routing every query through a general-purpose LLM, SIE deploys specialized small models for embedding, scoring, and extraction — the workloads that power search, matching, and document processing at scale.

We're a team of ex-Google and AWS engineers and data scientists across San Francisco, London, Budapest, and Tel Aviv, backed by $12M+ from tier-1 funds.