Tensorlake is a serverless infrastructure platform for designing, building, and running durable, high-throughput AI agentic applications. It tackles two intertwined problems that slow down real-world agent deployments: getting messy, complex documents into clean structured data, and orchestrating long-running, reliable agent workflows at scale without teams having to manage servers or infrastructure plumbing.
Tensorlake Cloud is a fully managed platform that combines human-like document parsing with layout understanding, so unstructured inputs like PDFs, forms, and reports become structured data agents can actually use, with serverless workflow orchestration that runs the agentic logic on top. This pairing matters because so much enterprise work begins with documents, and agents are only as good as the structured context they are fed. By handling ingestion, structuring, and orchestration together, Tensorlake aims to be the engine for agentic work rather than a single point tool.
The platform's serverless, durable design targets reliability and throughput, the qualities enterprises need when agentic applications move from demo to production and must process high volumes without dropping a byte. Tensorlake's open-source runtime underpins sandboxes and background agentic applications, giving developers a foundation they can build on and trust.
Founded in 2023 by Diptanu Gon Choudhury and headquartered in San Francisco, Tensorlake has raised roughly $8.6 million in seed funding from investors including Artisanal Ventures, Hawk Hill Ventures, Materialized View Capital, and Plug and Play Tech Center. It already counts enterprise customers such as the multinational car-rental firm Sixt.
For teams building document-heavy or long-running agentic applications, Tensorlake provides the serverless backbone, turning unstructured inputs into structured data and orchestrating durable agent workflows so developers can focus on the agent logic, not the infrastructure.