Shadow is an AI meeting assistant that records, transcribes, and analyzes spoken dialogue and on-screen content to preserve complete meeting context for later review and follow-up.
Shadow is an AI-powered meeting assistant designed to capture complete meeting context so teams can focus on the discussion instead of note-taking. It records both what is said and what is shown on screen, creating a unified, searchable record of every meeting. The primary purpose of Shadow is to ensure nothing important is missed, making follow-up, handoffs, and accountability more accurate and efficient.
Shadow automatically captures audio, video, and shared content such as slides, documents, and live demos, then uses AI to generate structured summaries, key points, and action items. It can identify speakers, track decisions, and highlight important moments, allowing users to quickly review only the segments that matter. The tool centralizes meeting artifacts in one place, so recordings, transcripts, and shared materials are easy to access and reference later. Its ability to “see” what is on screen as well as “hear” the conversation provides richer context than audio-only solutions.
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