Littlebird raises $11M to capture context from your computer so you can query your data

Littlebird has raised $11 million to build software that captures the live context of what users are doing on their computers, from documents and tabs to active workflows, and turns that stream into something an AI system can query. The company is positioning itself at the intersection of search, memory, and task automation.

The pitch is that most work is fragmented across apps, browser windows, chats, and cloud tools, making it hard for traditional knowledge systems to keep up. By watching context in real time, Littlebird wants to reduce the gap between what a user is doing and what an assistant can actually help with.

That approach fits a broader industry trend toward context-rich assistants. Generic chatbots often struggle because they lack grounded visibility into the user's immediate environment, while desktop-aware systems can respond more precisely, suggest actions, and surface relevant files or history without as much manual prompting.

The challenge will be trust. Products that observe large amounts of on-device activity need clear privacy controls, strong local security, and careful permission design. If Littlebird can get that balance right, it could benefit from the growing demand for AI that is less generic and more operationally useful.