Run sandbox in your own cloud

Introducing Tensorlake BYOC: the same sandboxes, APIs, and images, now running on servers you own, with nothing dialing into your network. Also this month: Devin Outposts on Tensorlake, 100,000 concurrent sandboxes independently verified, zero broken environments on Terminal-Bench, and a networking rebuild that doubles throughput.

OpenIngest is open source — and it's yours to run.

The document AI engine that ran on Tensorlake for over a year is now fully open source. As we go all-in on agent infrastructure, the hosted Document AI product winds down on June 30 — and OpenIngest is how it lives on.

Tensorlake Sandboxes — from fast startup to full agent infrastructure

Top-tier startup speed, multi-cloud scheduling, native SSH, OCI images, Harbor — plus OpenIngest, soon to be open source

From terminal to desktop — Tensorlake Sandboxes for every kind of agent

Harbor runtime, computer use, 1000+ sandboxes/second and dynamic resources

Fastest Agent Sandboxes Are Here

Instant, stateful execution environments for AI agents, spin up millions of VMs, auto-suspends when idle, resumes under a second.

Tensorlake February Updates: Smarter Forms, More Reliable VLMs, Better OCR

Engineers building production document workflows — this release is about robustness.

Tensorlake January Updates: Agentic OCR for Tables & Charts + New Pricing That Scales With You

Tensorlake Updates: Barcode detection, Gemini 3 OCR, and DOCX Tracked Changes

Engineers building production document workflows - we shipped some game changers.

Benchmarking the Most Reliable Document Parsing API

Most benchmarks measure text similarity. We measured what breaks in production.

Tensorlake Early October Updates: Schema-Enforced Pipelines + Document Structure Intelligence

Engineers building production document workflows - we shipped some game-changers.

Tensorlake September Updates: Native PDF Support + Advanced RAG Features

Engineers building document workflows - this one's for you.

From Sketchy Data to Trusted AI: Fresh Context Meets Field-Level Citations

Tensorlake builds trust into your document workflows. From ingestion to verified output.