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Littlebird

Category: AI Agents

An AI-powered 'personal recall' and productivity platform that captures real-time digital context from a user's computer screen to automate workflows and provide intelligent assistance. Littlebird was founded in 2024. The company is led by Alap Shah. Based in San Francisco, California, USA. Team size: 11-50. Total funding raised: $11.0M. Latest round: Seed. Key investors include Lotus Studio, Lenny Rachitsky, Scott Belsky, Gokul Rajaram, Justin Rosenstein, Shawn Wang, Russ Heddleston.

Founded
2024
Headquarters
San Francisco, California, USA
Team size
11-50
Total funding
$11.0M

Value proposition

Closes the 'context gap' for AI by providing LLMs with access to a user's local digital life through privacy-first, screenshot-free text capture, reducing the friction of retrieving and re-explaining work.

Products and solutions

Littlebird Desktop (Mac/Windows), Contextual AI Chat, Meeting Notes (bot-free transcripts/summaries/prep), Routines (scheduled briefings/summaries), Hover overlay (formerly Hummingbird; Mac), iOS & Android companion apps, Littlebird MCP (work memory for Cursor/VS Code/etc.), Artifacts (generated docs/PDFs/webpages), Integration Hub (Gmail, Calendar, Notion, Linear, CRM, etc.)

Unique value

Unlike competitors that rely on constant screenshots (e.g., Rewind or Microsoft Recall), Littlebird captures screen context as semantic text in real-time, significantly enhancing privacy and searchability.

Target customer

Knowledge workers, executives, sales professionals, and developers who manage high volumes of digital information.

Industries served

Technology & Software Development, Professional Services, Sales & Customer Success, Finance & Investment Research

Technology advantage

Proprietary 'ambient intelligence' architecture that functions as a digital twin, processing local data to inform AI agents without using personal data for model training.

How they differentiate

Littlebird differentiates by using semantic text-based context capture rather than privacy-invasive screen recording or constant screenshots. It focuses on 'ambient intelligence' that extracts meaning from the OS level without using personal data to train LLMs.

Main competitors

Limitless (formerly Rewind), Microsoft Recall, Glean, Mem.ai

Key partnerships

Lotus Studio (incubation arm of Lotus Technology Management), Strategic angels (Scott Belsky, Gokul Rajaram, Lenny Rachitsky, Justin Rosenstein, Shawn Wang, Russ Heddleston), Citrini Research (Alap Shah co-authored AI agents/economy paper)

Notable customers

Individual knowledge workers, Executive assistants, Sales professionals, Citrini Research

Major milestones

Founded in 2024 by Alap Shah, Naman Shah, and Alexander Green (former Sentieo leadership), Raised $11M Seed led by Lotus Studio in March 2026, Public launch / Product Hunt March 2026 (Mac & Windows), Proprietary screenshot-free semantic text extraction

Growth metrics

Public launch and $11M Seed in March 2026; LinkedIn/PitchBook ~11-50 employees (~29 on PitchBook); freemium with paid plans from ~$20/mo.

Market positioning

Privacy-first personal context layer for high-output knowledge workers and AI agents.

Geographic focus

Global (SaaS), with a primary market focus on North America.

Patents and IP

No registered patents disclosed as of latest update; focuses on proprietary OS-level text-extraction algorithms.

About Alap Shah

Alap Shah is a seasoned serial entrepreneur and investor. He was the co-founder and CEO of Sentieo, an AI-powered financial intelligence platform that raised over $70M before being acquired by AlphaSense in 2022. He also co-founded Thistle, a leading health-food subscription service. Earlier in his career, he served as an investment analyst at premier hedge funds Viking Global Investors and Citadel, focusing on global consumer equities.

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