Solving the Content Bloat Problem

As generative AI lowers the barrier to creating content, users are facing an accumulation of video, audio, and documents that are increasingly difficult to manage. Clipto addresses this by indexing files locally on a user's device, allowing them to search across disparate folders and drives using natural language. Unlike platform-specific tools from Adobe, Apple, or Google that are siloed within their own ecosystems, Clipto functions as a cross-platform search layer that works across various file types, including video, audio, images, and documents.

Local-First Architecture and AI Integration

Clipto emphasizes privacy and performance by running its processing locally on the user's hardware rather than relying on cloud services. To bridge the gap between local files and modern AI workflows, the company recently integrated the Model Context Protocol (MCP). This allows users to selectively grant AI agents—such as ChatGPT or Claude—access to specific indexed files. By maintaining a local-first approach, Clipto ensures that data retrieval remains within the user's control and scope, addressing common privacy concerns associated with AI-powered indexing.

Business Model and Growth

Founded in 2023 by Henry Kang, the company has grown to over 20 employees across San Francisco, Singapore, and Hong Kong. Despite starting with a focus on video creators, the user base has diversified to include professionals in law, medicine, research, and academia. The company reports significant traction, with over 30 million users since launch and hundreds of thousands of paying subscribers. As of early 2026, Clipto achieved $15 million in annual recurring revenue (ARR) and is currently profitable on a net-income basis. The recent $15 million funding round will be directed toward improving AI models and expanding integrations with additional AI agents.