Shadow is an AI-powered meeting assistant designed to capture complete meeting context by recording both what's said and what's shown during meetings. Unlike traditional transcription tools that only capture audio, Shadow understands visual presentations, screen shares, and other visual elements to provide comprehensive meeting records.
Key Features
- Dual Capture Technology: Automatically transcribes spoken content while also capturing and analyzing visual presentations, screen shares, and other visual elements
- Autopilot Mode: Automatically detects meetings, records discussions, and structures key takeaways without manual intervention
- Speaker Identification: Detects and labels different speakers in real-time for accurate attribution
- Built-in Notepad: Integrated note-taking functionality to capture thoughts and ideas during meetings
- Post-Meeting Automation: Creates ready-to-send follow-ups, extracts action items, identifies key insights, and generates meeting summaries
- Local First Processing: Default processing happens on your device for enhanced privacy and data control
- Workflow Integration: Connects with popular tools like Zoom, Slack, Microsoft Teams, Google Meet, and Zapier
Use Cases
- Business Professionals: Automate meeting documentation and follow-up tasks
- Sales Teams: Capture customer requirements, budget discussions, and action items from sales calls
- Project Managers: Track decisions, assign tasks, and maintain meeting records for project documentation
- Consultants: Document client meetings, extract insights, and generate professional follow-up materials
- Remote Teams: Ensure comprehensive meeting records for distributed team collaboration
Technical Implementation
Shadow operates as a background application that integrates with popular meeting platforms. It uses AI to process both audio and visual inputs, creating searchable meeting memories that can be accessed and queried post-meeting. The platform emphasizes data privacy with local processing options and explicit user control over data sharing.
