Clipto bets AI needs a local memory layer; #1 on Product Hunt

Clipto is a privacy-first, on-device AI memory platform: it indexes videos, audio, images and documents locally, then lets users search and query them in natural language — with an MCP so AI agents can access the library too.

That AI's next missing layer is memory, not another model: a fully local multimodal layer indexes TBs of personal media and becomes the context every agent uses.

$15M all-equity round at $250M post-money (Aug 2026) from HSG (ex-Sequoia China), GL Ventures, EnvisionX Capital, Palm Drive Capital, Hans Tung, Lu Zhang and 522 Ventures; preceded by Pre-A, Pre-A+ and Pre-A++ rounds since July 2025 (total ~$16.5M per PitchBook)

Clipto launched in 2023, founded by Henry Kang, a Carnegie Mellon robotics and computer-vision PhD who interned at Microsoft Research Asia in 2004, founded text-to-video platform Zhiying (ZenVideo) in 2017, and led Tencent's AIGC products after Tencent acquired it in 2020. His thesis: AI built world models but no user models — every agent conversation starts from zero, because personal data sits untapped on local devices. 'A smart person, without memory, is just an amnesiac.'

Clipto hit break-even within three months and topped $10M first-year recurring revenue; by early 2026 it passed $15M ARR and net profitability with about 20 employees and small teams in Hong Kong and Singapore. Back-to-back Pre-A rounds from July 2025 pushed its valuation above $250M by January 2026. In late May 2026 its Mac launch took #1 Product of the Day on Product Hunt. In August 2026 it disclosed the $15M round at $250M post-money, launched Windows and Android apps plus an MCP for AI agents, and reported 30M+ users across 150+ countries with hundreds of thousands of paying subscribers.

Still running and scaling: profitable at $15M+ ARR, expanding platforms (Windows, Android, MCP agent access) and positioning memory as an infrastructure layer; 30M+ users as of August 2026.

Content generation exploded while retrieval stayed manual: editors scrub timelines and lawyers re-read depositions, so organizing existing media became the real pain point.

The user-model gap is structural: agents reason on world knowledge but can't see a person's history, so a persistent local memory layer is needed for agents to be useful.

Hardware shifted — Apple M-series and NVIDIA AI PCs put enough compute on-device to index terabytes locally at near-zero marginal cost versus expensive cloud tokens.

Privacy and latency make local processing a requirement for legal, healthcare and enterprise data, not just a preference.

Kang's two decades on video understanding and generation meant he saw the content-organization bottleneck before it was fashionable — and had shipped products through two exits before.

When content becomes abundant, the scarce layer shifts from generation to organization: turning private local data into agent-readable memory builds a moat no model upgrade can displace.

As of 2026-08-31, Clipto is profitable and scaling: 30M+ users across 150+ countries, hundreds of thousands of paying subscribers, ~$15M ARR, and ~20 employees with teams in Hong Kong. It disclosed a $15M all-equity round at a $250M post-money valuation from HSG, GL Ventures, EnvisionX Capital, Palm Drive Capital, Hans Tung, Lu Zhang and 522 Ventures, and launched Windows and Android apps plus an MCP for AI agents to search private libraries. The company frames search as the first application of memory and aims to become an AI-native memory layer shared by agents; no IPO announced.