Tensorlake

Hey Product Hunt 👋

We built Tensorlake Cloud because we kept seeing LLM apps and AI agents fail; not because of the models, but because of the data.

Enterprise documents are messy. A single page of a dense document might contain:

• Metadata

• Tables

• Key-value fields

• Visual indicators like strike-throughs or signatures

And that same information might be found in documents with slightly different layouts.

Not just another parser.

Tensorlake parses documents the way a human would: breaking them into semantic segments and applying specialized models per region, not just across the entire page. Then we let you build durable, Python-based workflows to automate processing on our managed GPU infrastructure.

• A layout-aware document ingestion API that outperforms legacy tools on OCRBench v2 and RAGAS

• A serverless orchestration engine that automatically scales and keeps pipelines fresh

It’s already running in production at hedge funds, utility companies, and fast-growing fintechs

We’re proud of the accuracy, developer experience, and the real impact it’s already having.

Read the announcement blog post

Join our community on Slack

Would love your feedback, questions, and support. Thanks for checking us out!

Huge congrats on the launch! 🔥 Love the focus on layout-aware parsing it’s such a real pain point in working with complex documents. Tensorlake looks powerful but refreshingly practical. Excited to see how this levels up data workflows for teams dealing with messy real-world inputs.

This is solving a real problem in a very smart way. Rooting for your success