Littlebird, a new startup founded in 2024 by brothers Alap and Naman Shah and Alexander Green, has secured $11 million in funding to develop an AI-assisted recall tool. The investment round was led by Lotus Studio and included participation from prominent investors such as Lenny Rachitsky, Scott Belsky, Gokul Rajaram, and Shawn Wang. Many of these backers are existing users of the platform, validating its potential utility in the competitive AI landscape. The startup aims to solve a core challenge in artificial intelligence: providing machines with deep context about a user's digital life. While competitors like Microsoft Recall and the former Rewind (now sold to Meta) rely on capturing screenshots or visual data, Littlebird distinguishes itself by "reading" the computer screen and converting that visual information into text format. This approach allows the system to understand the context of user activities without the heavy data storage requirements associated with image processing. The founders believe this method is less invasive and more efficient, as text-based data is lighter-weight and easier to search. During setup, users can customize the application to ignore specific apps or sensitive fields, such as password managers and web form inputs, to ensure privacy. The tool integrates with services like Gmail, Google Calendar, and Apple Reminders, allowing users to query their past activities with natural language questions. For example, users can ask, "What have I been doing today?" or "Which emails are important to me?" The system learns from usage over time, generating increasingly personalized prompts. In addition to screen reading, Littlebird features an integrated notetaker that transcribes system audio to capture meeting details, create notes, and generate action items. A specific feature called "Prep for meeting" leverages context from past correspondence and company history to provide detailed background information before a scheduled call. The platform also includes a Routines feature, enabling automated workflows like daily briefings or weekly summaries based on custom instructions. The founding team brings significant experience to the venture. Alap and Naman Shah previously co-founded Sentieo, which was acquired by AlphaSense, and founded the food company Thistle. Alexander Green has a background in building hardware, software, and AI products. According to the founders, the concept emerged from the realization that AI models lack personal context, limiting their utility. By storing data in the cloud with encryption, Littlebird can run powerful AI models that are not feasible on local devices alone. The service is free to download, but premium plans starting at $20 per month unlock additional usage limits and features such as image generation. Investors emphasized the importance of identifying a "killer use case" for long-term success. Lenny Rachitsky, a product builder, noted that AI is only as good as the context it possesses, and the tool aims to reduce the friction of remembering, retrieving, and re-explaining one's own work. The company plans to continue refining the product based on real-world user behavior as it scales.