Clipto Raises $15M at $250M Valuation to Help Users Search Terabytes of Video and Files

The San Francisco startup indexes local content for AI-powered search, reaching 30 million users and $15M in ARR

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Clipto, a San Francisco-based startup that uses artificial intelligence to index and search video, audio, images and other files stored on a user's computer, has raised $15 million in an all-equity round at a $250 million post-money valuation. The company, which also has teams in Singapore and Hong Kong, says it has attracted more than 30 million users since its 2023 launch and reached $15 million in annual recurring revenue at the beginning of 2026, while remaining profitable on a net-income basis.

Clipto indexes videos, audio, images, meetings and other files on a user's computer, allowing them to search by describing what they are looking for, or to ask ChatGPT, Claude or other AI tools to retrieve the information. The processing runs entirely locally on the user's device without requiring cloud services, according to founder Henry Kang.

Kang, who spent roughly two decades working on related problems, said his earlier work as a PhD student at Carnegie Mellon University in 2006 involved robots that recorded surroundings and remembered where to find objects. He later applied that idea to a startup that used AI to track clothing and suggest outfits, and then co-founded ZenVideo, which focused on making video creation easier and was acquired by Tencent in 2020.

"The real insight is that in this AI era, we don't have a content shortage. The opposite is true. We have too much content. We have too much video footage sitting on our computers that isn't being used," Kang told TechCrunch.

Kang founded Clipto in 2023 with several members of his previous founding team, building the company around that observation. While many AI companies focused on generating new material, Clipto set out to help users find and reuse files they already had.

Initially built for video creators struggling to manage footage across multiple drives, the product has broadened. Kang said creators now account for only about one-quarter to one-third of its users. The rest include lawyers, doctors, researchers, marketers, human-resources professionals, professors and students.

The company says it has hundreds of thousands of paying subscribers. Kang declined to provide a more precise subscriber count or average revenue per customer, though he said a significant portion of customers remain subscribed for more than two years. Clipto has just over 20 employees split among the San Francisco Bay Area, Hong Kong and Singapore.

About two weeks ago, Clipto added support for Model Context Protocol (MCP), a standard that allows AI applications to connect with outside sources of information. Kang said access to indexed files requires the user's active request and authorization, and that when an AI application accesses Clipto's indexed data, it can only retrieve information within the scope the user specifies.

The startup's backers include HSG (formerly Sequoia China), GL Ventures, EnvisionX Capital, Palm Drive Capital, Hans Tung, Lu Zhang and 522 Ventures.

Clipto enters a market where larger companies already control much of the data and software people use to manage it. Adobe, Apple, Google and a growing number of startups are also using AI to make files searchable, though it is not yet clear whether this will support a new category of standalone software or become a standard feature of products people already use.

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Analysis

Why This Matters

  • Clipto's growth suggests there is demand for dedicated local search tools, not just features embedded in larger platforms, as AI-generated content piles up on users' hard drives.
  • The company's profitability at a modest headcount of 20 indicates that a lean, focused startup can compete in a market dominated by Adobe, Apple and Google.
  • Integration through MCP could create a bridge between local file indexing and popular AI assistants, potentially changing how people retrieve their personal and professional content.

Background

The explosion of generative AI has made it easier than ever to create videos, recordings, documents and images, but managing the resulting clutter remains a challenge. While cloud-based search tools exist, many users keep large amounts of data locally, making it hard to find specific footage or documents. Clipto is part of a wave of startups applying AI to local file search, a space that big players like Apple (Spotlight), Google (Desktop Search) and Adobe (Premiere Pro's AI-powered media intelligence) are also investing in. Questions remain about whether users will pay for a standalone search tool or expect this capability built into their operating system or existing software.

Key Perspectives

Clipto (founder Henry Kang): Believes there is room for a separate product focused on local file indexing and retrieval. The company points to its 30 million users, hundreds of thousands of paying subscribers, and reported profitability as evidence that a dedicated solution can sustain a business. Big tech companies (Adobe, Apple, Google): Already control the operating systems and creative tools where most local content lives. They can integrate AI search features directly into their products, potentially making standalone search tools unnecessary for many users. Critics/skeptics: The main risks are privacy (local files are sensitive) and competition from platform-level integrations. While Clipto emphasizes local-only processing and user consent, the broader space remains uncertain as large companies add similar features. The long-term viability of a standalone search product against free or built-in alternatives is unproven.

What to Watch

  • How Clipto's subscriber growth and retention trend after the initial burst of adoption among creators and professionals.
  • Whether major operating system makers or creative tools add comparable local AI search features that could reduce demand for third-party app.
  • The open-source MCP standard's uptake — if widely adopted, it could lock Clipto into a role as an indexing provider for AI assistants, or open the door to competitors using the same protocol.

Sources

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