TechCrunch: Littlebird raises $11M for AI context capture that reads your screen

Littlebird has raised $11 million led by Lotus Studio to build a context layer for AI tools. The product reads what is on your screen in real time — not by capturing screenshots, but by parsing text — and stores that context so you can query it later or pass it into AI conversations without manually re-explaining your work.

The distinction from tools like Microsoft Recall is in approach: Littlebird reads and indexes screen content as text rather than visual frames, and the company says it excludes sensitive data such as passwords and credit card numbers. Users can also connect Gmail, Google Calendar, and Apple Calendar to the product.

A “Routines” feature runs scheduled analysis on your accumulated context: a daily briefing, a weekly activity summary, or custom prompts that run at defined intervals. Investor Gokul Rajaram, who previously worked on ad products at Google and Facebook, described the value as eliminating the friction of remembering, retrieving, and re-explaining your own work history when talking to an AI.

For product managers, the relevant friction is familiar: opening a new AI conversation and spending several sentences reconstructing what you were working on, who the stakeholders are, and what the decision was. Littlebird is an attempt to remove that setup cost by keeping context persistent across sessions.

The company was founded in 2024 by Alap Shah, Naman Shah, and Alexander Green. Alap and Naman previously co-founded Sentieo, a financial research platform sold to AlphaSense. Investors include Lenny Rachitsky, Scott Belsky, Justin Rosenstein, and Russ Heddleston. The app is free to download, with paid plans starting at $20 per month.