Clipto Hits $250M Betting on AI Video Search

Clipto just raised $15 million at a $250 million post-money valuation, and it’s making a bold bet: that finding your old files deserves its own product, not just a feature buried inside Adobe or Google. According to TechCrunch AI, the San Francisco startup, with teams in Singapore and Hong Kong, closed the all-equity round with backers including HSG (formerly Sequoia China), GL Ventures, EnvisionX Capital, Palm Drive Capital, Hans Tung, Lu Zhang, and 522 Ventures. TechCrunch AI reports the company is already profitable on a net-income basis.

What stands out here is the framing. Most AI money chases generation, making more content, faster. Clipto is running the other way.

What Clipto actually does

Clipto indexes the videos, audio, images, meetings, and documents sitting on your computer, then lets you find them by describing what you want. No more scrolling through folders named ‘final_v3_REAL.’

You can search directly, or point an AI tool at your library. A few key details from the reporting:

  • It works across file types (video, audio, images, docs), not just one walled garden.
  • Around two weeks ago it added support for Model Context Protocol (MCP), the standard that lets AI apps connect to outside data.
  • Access requires the user’s active request and authorization, and an AI tool can only pull data within the scope you set.
  • All processing runs locally on your device, with no cloud required.

That local-first, permissioned approach matters. It’s how Clipto pitches search that reaches ChatGPT or Claude without handing your whole drive to a server somewhere.

Why this matters

The problem Clipto is solving is real and getting worse. Founder Henry Kang put it plainly to TechCrunch AI: “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.”

Generative AI made content cheap to produce. Finding and reusing it stayed hard. That gap is the whole business.

Kang isn’t new to this. He told TechCrunch AI he worked on robots that recorded and remembered their surroundings as a Carnegie Mellon PhD student back in 2006. His second company, Zenvideo, was acquired by Tencent in 2020. He founded Clipto in 2023 with members of his previous founding team.

The traction, and the competition

The numbers Kang shared are worth noting. Clipto says more than 30 million people have used its products since launch, with hundreds of thousands of paying subscribers. It hit $15 million in annual recurring revenue at the start of 2026, all with just over 20 employees. He said a large share of customers stay subscribed for more than two years, though he declined to give a precise subscriber count or revenue per user.

The user base also shifted. Clipto started as a tool for video creators wrangling footage across drives. Now Kang says creators are only about a quarter to a third of users. The rest are lawyers, doctors, researchers, marketers, HR staff, professors, and students.

The hard part is the competition. Adobe already offers AI search in Premiere. Apple Photos and Google Photos let you find media with plain-language descriptions. These are giants who already own the data and the software.

Kang’s counter, as detailed in TechCrunch AI: the big players mostly search within their own services. Clipto searches across everything and then hands selected results to outside AI tools. That combination is the wedge.

What to watch next

The open question is the one the article names directly. Is AI-powered file search a standalone category, or a feature that Apple, Google, and Adobe eventually absorb into products you already pay for?

Clipto is spending the new money to make its models run on consumer hardware and to connect with more AI agents. If local, cross-file, permissioned search sticks as a habit, Clipto has a real lane. If the incumbents bolt the same thing onto tools you already own, that lane narrows fast.

For now, keep an eye on the MCP integrations. That’s where a search app quietly becomes the memory layer for every AI assistant you use. Full details are in the original TechCrunch AI report.

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