Tensorlake Cloud is a platform for document ingestion and data orchestration. Parse real-world documents with human-like layout understanding and build Python-based workflows at scale and ready for production.
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.
🚀 Thanks to everyone who’s checked out Tensorlake!
One of the biggest things we’re hearing from early users: it’s not just about parsing documents fast - it’s about preserving context and relationships across emails, PDFs, spreadsheets, and more.
We’d love to hear from you; what’s the hardest part of your AI pipeline when dealing with real-world data?
Big congrats on the launch! Love the focus on real-world document parsing and scalable Python workflows
We've just launched Mukh.1 too - a no-code platform that lets you build AI-powered workflows and agents with a simple drag-and-drop interface. Do check it out.
Processing data is a very challenging task, and the emergence of Tensorlake has provided many new ideas, which is fantastic! I'm really looking forward to you bringing more changes.
Checked out your website & concluded this is a super cool & fresh app 🥬😃
I now have the urge of building 1000 CV parsing apps with a B2B focus. Great sign when a product gets us excited about shipping apps!
Tensorlake Cloud appears to offer a robust solution for the often-challenging task of document ingestion and data orchestration, with its human-like layout understanding and scalable Python workflow capabilities geared towards production environments.
Tensorlake is a game-changer! The ability to parse documents with human-like understanding and build Python-based workflows at scale is impressive. It's exciting to see such innovation in document ingestion and data orchestration. Looking forward to exploring its capabilities further!
This is solving a real problem in a very smart way. Rooting for your success
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.
