The future of AI is open source

As the world gets more and more obsessed with giant LLMs, we double down on small, specialized models you can run yourself. Embeddings, rerankers, vision models, OCR, classification. The workloads that actually power search and document processing at scale.

And it's working. We built SIE, an open-source inference engine that runs 85+ models behind a single API on shared GPUs in your cloud. Our users cut API costs by up to 50x, improve accuracy and reclaim control over their AI stack.

Join us. We raised $12M+ from Index Ventures, Theory Ventures, Samsung Next, and others, assembled a team of ex-Google and Mastercard engineers and data scientists across San Francisco, London, Budapest, and Tel Aviv, and secured partnerships with leading frameworks and databases to make our technology more accessible.

Daniel, Ben & the Superlinked team