Littlebird lands $11M to build AI that ‘remembers’ your screen

A new AI startup is betting that your computer already holds all the context you’ll ever need. Meet Littlebird — a company building a tool that quietly reads what’s happening on your screen and turns it into searchable memory.

The company just raised $11 million in funding to push that vision forward, joining a growing wave of startups trying to make AI more useful by understanding your daily digital life.

In recent years, tools have popped up to track meetings, documents, and searches. Some, like Rewind (now known as Limitless after its acquisition by Meta), and Microsoft Recall, have gone even further—capturing screenshots of everything you do.

Littlebird takes a different route.

Instead of storing images, it “reads” your screen and converts activity into text. That means less storage, faster processing, and—according to the company—a less invasive experience.

The idea is simple: if AI already knows what you’ve been working on, you don’t need to explain anything. It just works.

Once installed, Littlebird runs quietly in the background. Users can choose which apps it should ignore, and the system automatically skips sensitive data like passwords and credit card fields. It can also connect with tools like Gmail, Google Calendar, Apple Calendar, and Reminders to deepen its understanding of your workflow.

From there, you can ask questions like “What did I work on today?” or “Which emails matter most?” Over time, the app adapts, offering more personalized insights based on your habits.

Littlebird also doubles as a meeting assistant. It listens to system audio to generate transcripts, summarize discussions, and create action items. There’s even a “Prep for meeting” feature that pulls together context from past emails, meetings, and company data—along with outside sources like Reddit—to give users a quick briefing before calls.

Another feature, called “Routines,” lets users automate recurring prompts such as daily summaries or weekly reports. You can also build custom routines tailored to your workflow.

The startup was founded in 2024 by Alap Shah, Naman Shah, and Alexander Green. The Shah brothers previously built Sentieo, which was acquired by AlphaSense, and also co-founded food startup Thistle.

According to Green, the idea came from a simple insight: AI models don’t know much about you, and that limits their usefulness. Littlebird aims to fix that by constantly learning from your on-screen activity.

Unlike some competitors, Littlebird stores only text—not screenshots—and keeps data encrypted in the cloud. This approach allows it to run more powerful AI models, something the company says isn’t feasible on local machines alone.

The product is free to try, with paid plans starting at $20 per month for higher usage limits and additional features like image generation.

The funding round was led by Lotus Studio, with backing from notable tech investors including Lenny Rachitsky, Scott Belsky, Gokul Rajaram, Justin Rosenstein, Shawn Wang, and Russ Heddleston. Many of them are already using the product.

Still, the big question remains: what’s the killer use case?

Investors believe the answer will emerge over time. As Rachitsky put it, the real test for Littlebird—and tools like it—is discovering how people naturally use AI in their everyday work.

For now, Littlebird is placing a bold bet: the future of AI isn’t just smarter models—it’s better memory.

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