Superlinked

Superlinked addresses the cost, latency, and infrastructure complexity that arise when AI agents repeatedly call general-purpose models for routine jobs. Its open-source Superlinked Inference Engine, or SIE, serves task-specific open models for search, reranking, document processing, extraction, classification, safety, image understanding, audio transcription, chat, and generation. Teams can select models against measured quality targets, access them through the hosted SIE Serverless API, or deploy the same models and interfaces within their own cloud or Kubernetes environment.

Founded in 2021 and headquartered in San Francisco, Superlinked develops an open-source stack that includes a model gateway, autoscaling, monitoring, Python and TypeScript SDKs, an MCP server, Helm charts, and Terraform deployments for major cloud providers. SIE shares GPUs across multiple model types and supports deployment options ranging from local laptops to private clusters. The company serves software teams, ML and platform engineers, and enterprise software vendors that want AI workloads to remain within their own infrastructure while reducing reliance on costly frontier APIs.