Interruptible

Interruptible is a conversational video infrastructure platform that transforms recorded moments, live interactions, and static knowledge into interactive, voice-driven experiences. Instead of passive video consumption, users can ask questions and receive context-aware responses grounded in the original source material—whether that is a person, a recorded lecture, a meeting archive, or a collection of multimedia assets. The system operates as an API-first, hosted platform designed for teams, creators, and enterprises that need to scale human presence and preserve conversational context across distributed audiences. At its core, Interruptible ingests video, audio, or transcript inputs and builds a structured representation of the content. Each moment—speech, gesture, slide transition, or visual reference—is indexed with semantic and temporal metadata. When a user submits a natural language query, the platform retrieves the most relevant fragments and synthesizes a spoken response that stays faithful to the original context. This response can include direct quotes, timestamps, and references to specific visual cues, ensuring that every answer is traceable and verifiable. The entire interaction loop—question, retrieval, generation, and delivery—is captured as structured data, forming a continuous record of user intent, curiosity, and engagement patterns. For practical use cases, Interruptible enables several distinct modes. Knowledge workers can upload recorded meetings or training sessions and later query them for specific decisions, action items, or explanations without re-watching hours of video. Creators and educators can turn recorded tutorials or lectures into living textbooks where learners ask follow-up questions and receive answers that build on previous explanati