Clipto Raises $15M at $250M Valuation as AI Search for Local Files Gains Momentum

Clipto, a three-year-old startup that uses artificial intelligence to search videos, audio, images and documents stored on a user’s device, has raised $15 million in new funding at a $250 million post-money valuation. The San Francisco-based company says the money will help it expand its local AI search tools, strengthen support for AI agents, and scale the infrastructure behind a product that is already used by millions.

The round comes as generative AI makes it easier than ever to create content and harder than ever to find the right file later. As major platforms such as Adobe, Apple and Google add AI search to their products, Clipto is arguing there is still room for a dedicated application built around one goal: helping people search and reuse the information already sitting on their computers.

Clipto’s bet is straightforward. Rather than trying to generate more media, it wants to help users recover value from what they already made. That pitch has found traction with creators, but also with lawyers, doctors, researchers, marketers, educators and students, turning the company from a niche video tool into a broader productivity product.

What did Clipto raise, and why does it matter?

Clipto raised $15 million in an all-equity round that values the company at $250 million after the investment. The financing matters because it signals investor confidence in a category that remains unsettled: standalone AI search tools for personal and professional content versus search features embedded inside larger software ecosystems.

The startup says the new funding will go toward the AI models and computing infrastructure needed to run its service on consumer hardware, as well as additional integrations with AI agents. In other words, the company is not just selling search; it is trying to become the layer that connects local files to the growing universe of AI assistants and agentic tools.

The investors in the round include HSG, formerly Sequoia China, along with GL Ventures, EnvisionX Capital, Palm Drive Capital, Hans Tung, Lu Zhang and 522 Ventures.

How Clipto works

Clipto indexes content stored on a user’s computer so that it can be searched by meaning rather than filename. Users can type a description of what they remember, or ask an AI assistant such as ChatGPT or Claude to look for it on their behalf.

The service is designed to handle multiple media types. It can search through video, audio, images, meeting recordings and documents, giving it a broader scope than many built-in tools that focus on a single app or file type.

What users actually search for

Clipto’s core use case is familiar to anyone who has ever hunted through folders for a clip, a transcript, a screenshot or a document snippet. The startup says many customers use it to locate material by describing the scene, topic or spoken words they remember instead of recalling a file name or exact location.

That approach is increasingly relevant in an era when personal and professional archives are growing quickly. More content is being captured on laptops, phones and external drives, but far less of it is organized in a way that is easy to search later.

Why Henry Kang thinks the market is bigger than video creators

Clipto was founded in 2023 by Henry Kang and several members of his previous startup team. Kang has spent roughly two decades working on related problems involving memory, retrieval and content organization, and he sees Clipto as the latest attempt to solve a recurring issue in computing: how to make machines remember what humans forget.

Kang’s interest in the idea goes back to his time as a Carnegie Mellon University PhD student in 2006, when he worked on robots that recorded their surroundings, identified objects and stored information about where those objects could be found later. He later applied similar thinking to an outfit recommendation startup that tracked clothing in a closet, and then to ZenVideo, a video creation business that Tencent acquired in 2020.

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

That philosophy shaped Clipto’s original product for video creators, who often deal with scattered raw footage and large media libraries. But the company says its customer base has expanded well beyond that group.

According to Clipto, creators now represent only about a quarter to one-third of its users. The rest include professionals in law, medicine, research, marketing, education and human resources.

Who is using Clipto now?

Clipto says its audience has broadened into a cross-section of knowledge work. For video creators, the product can simplify editing and asset management. For other users, it can surface notes, transcripts, meeting recordings, images or documents that are hard to retrieve with conventional file search tools.

The company says more than 30 million people have used its products since launch and that it has hundreds of thousands of paying subscribers. Kang did not provide a precise subscriber count or revenue-per-customer figure, but said many users remain subscribed for more than two years.

That level of retention is notable for a product still early in its commercial life. Clipto also said it reached $15 million in annual recurring revenue at the beginning of 2026 and remains profitable on a net-income basis.

A closer look at Clipto’s business

Despite its valuation, Clipto remains relatively lean. The company has just over 20 employees across the San Francisco Bay Area, Hong Kong and Singapore. That small headcount suggests a business trying to do more with less, relying on software efficiency and local processing rather than a large service organization.

The startup’s profitability is especially striking in a sector where many AI companies remain heavily dependent on outside capital. Clipto’s revenue profile and reported net-income profitability may make it more attractive to investors looking for a path to sustainable growth rather than pure usage expansion.

How Clipto is handling privacy and AI access

Privacy is a central issue for any product that indexes personal or business files, especially when AI models are involved. Clipto says access to indexed information requires the user’s active request and authorization, and that AI applications can only retrieve data within the scope the user specifies.

Kang said the system processes content locally on the user’s device rather than routing it through cloud services. That design choice could appeal to customers worried about sensitive material leaving their machines, including lawyers, healthcare workers and corporate teams.

The company also recently added support for Model Context Protocol, or MCP, a standard that lets AI tools connect to external data sources. By adopting MCP, Clipto is making it easier for outside AI applications to query the content it has already indexed.

That matters because the broader AI market is moving toward connected assistants that can reach into calendars, documents, databases and local files. If AI agents become the interface for everyday work, products like Clipto may function as the search engine behind them.

How does Clipto compare with Adobe, Apple and Google?

Clipto is entering a market where some of the biggest technology companies already offer AI-powered search inside their own ecosystems. Adobe has added AI search functions to Premiere, while Apple Photos and Google Photos let users find pictures and videos through natural-language prompts.

The difference, Clipto argues, is scope. Its tool is built to search across videos, audio, images and documents on a user’s own device, rather than only within one company’s product family or cloud storage environment.

That broader reach is the company’s main competitive claim, along with its ability to expose selected data to external AI tools such as ChatGPT and Claude. Clipto is effectively positioning itself as a unifying search layer for fragmented personal and professional archives.

Why that distinction matters

The distinction matters because modern work is fragmented across apps, devices and file systems. A photo may live in one app, a transcript in another and a meeting recording in a local folder. Built-in search is often useful but incomplete when users need to search across all of those sources at once.

Clipto’s pitch is that it can sit above those silos, making content findable regardless of format or origin. If successful, that could make the startup more than a point solution for creators. It could become infrastructure for knowledge retrieval.

Timeline of Clipto’s evolution

Clipto’s growth has been shaped by a long-running idea rather than a single product pivot. The company’s history shows a steady movement from early research to consumer software to broader AI search.

What the funding says about the AI search market

Clipto’s fundraising underscores a larger question in AI software: will search become a standalone category or just another feature inside existing tools? The answer is still unclear, and the market is crowded with large players that already own both the data and the user interface.

Still, the startup’s growth suggests there is demand for products that help people find and reuse their own files across formats and devices. That demand may be strongest where the cost of lost time is high, such as legal work, medicine, research and creative production.

The challenge for Clipto is that its competitors do not need to build an entirely new product from scratch. Adobe, Apple and Google can fold similar capabilities into software customers already use. Clipto has to convince users that a dedicated search layer is worth adopting on top of those tools.

There is also a platform question. If AI assistants become the main way people interact with files, then the winners may be the companies that can sit at the center of that workflow. Clipto’s MCP support suggests the startup wants to be one of those companies.

What happens next?

For now, Clipto appears to be balancing two goals at once: maintaining a profitable, consumer-friendly product while building the technical plumbing needed to stay relevant in an AI agent-driven future. The fresh capital should help it keep up with more demanding models, broader integrations and increased usage.

Its next phase will likely test whether the company can remain independent in a market where bigger platforms can quickly replicate useful features. If Clipto succeeds, it could prove that AI search for local files is not just a feature, but a durable software category.

If it does not, it may still help define the playbook for a generation of tools designed to make sense of the exploding volume of personal and work content created in the AI era.

• Clipto raised $15 million in an all-equity round at a $250 million valuation.
• The startup searches local videos, audio, images and documents using AI.
• It says it has more than 30 million users, hundreds of thousands of paying subscribers and $15 million in ARR.
• Clipto is leaning into privacy, local processing and AI agent integrations.
• Its main competition comes from Adobe, Apple and Google, which are adding similar features inside their own products.