- Updated: March 23, 2026
- 1 min read
Littlebird Raises $11M to Capture On‑Screen Context for AI‑Powered Queries
Littlebird, an emerging AI startup, announced a fresh $11 million Series A round aimed at expanding its screen‑reading and context‑capture platform. The funding, led by strategic investors, will accelerate product development, add new integrations, and broaden its reach among knowledge‑workers who need instant access to on‑screen information.
The core technology transforms any visible content—documents, emails, dashboards—into searchable text in real time. Users can ask natural‑language questions such as “What were the sales numbers in the last quarter?” and receive instant answers drawn directly from the screen. Littlebird’s solution also supports meeting preparation, routine automation, and seamless hand‑offs to other productivity apps.
Founded by Alap Shah, Naman Shah, and Alexander Green, the company already offers a free tier with paid plans starting at $20 per month. The new capital will fund a larger engineering team, AI model refinement, and deeper integrations with popular tools like Slack, Notion, and Microsoft Teams.
For a full read of the original announcement, visit the TechCrunch article. Explore related coverage on our site, such as AI Productivity Trends 2026 and Startup Funding Insights.
Andrii Bidochko
CTO UBOS
Andrii Bidochko is an AI entrepreneur and researcher focused on AI agents, reinforcement learning, and autonomous systems. He writes about the technologies shaping the future of machine intelligence, from frontier models and agent architectures to real-world AI applications.