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Littlebird Raises $11M to Build Context-Aware AI Productivity Platform

A new AI startup, Littlebird, has emerged with a focus on capturing and structuring user context to improve productivity tools. Founded in 2024 by Alap Shah, Naman Shah, and Alexander Green, the company is developing software that continuously reads on-screen activity and converts it into searchable text, enabling users to query their digital workflows without manual input.

The platform integrates with tools such as email, calendars, and reminders, while offering features including automated meeting transcription, contextual summaries, and recurring workflow prompts. Data is stored in the cloud with encryption, allowing more advanced AI processing.

Littlebird has raised $11 million in funding led by Lotus Studio, with participation from Lenny Rachitsky, Scott Belsky, Gokul Rajaram, Justin Rosenstein, Shawn Wang, and Russ Heddleston.

James Dargan
About the author
James Dargan

James Dargan is a writer and researcher at The AI Insider. His focus is on the AI startup ecosystem and he writes articles on the space that have a tone accessible to the average reader.

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