Latch learns how real work actually happens and turns it into a structured context your team can build on.
Do your work and explain it along the way. Latch records your screen and your system actions while a voice assistant asks smart clarifying questions — about the edge cases, the why behind a decision, the shortcut nobody wrote down.
Each session adds depth. Over time, Latch develops a high-fidelity model of how your team actually operates — not the version on the org chart, the version that actually ships the work.
With the real context in hand, your team can finally build the automation or application that holds up in production. No more shipping on top of half-true assumptions that ignore the exceptions.
Your team handles the same five edge cases every week — none documented, all costing hours. Latch captures the real process, including the shortcuts your best operator takes that nobody else knows about.
You ask the operators what they do, they give you the version that fits in a slide. The automation you build breaks the first time reality shows up. Latch gives you the structured ground truth, edge cases and all.
I spent years watching automation and AI projects die the same way: the team couldn't describe the work clearly enough to automate it. So we built the recorder we wished we had.
Individuals exploring how AI could fit their work.
Teams capturing workflows together and exploring automation.
Operating teams running real automations on real workflows.
Companies treating their Latch library as operational infrastructure.
Record a workflow. Generate structured context.
Book a Demo or email hello@latch.ai.