Shadow

Product Introduction

1. Definition: Shadow is an AI-powered meeting productivity tool specializing in contextual meeting intelligence. Technically categorized as a screen-aware transcription and automation platform, it captures both audio conversations and visual content (slides, documents, demos) displayed during virtual meetings.
2. Core Value Proposition: Shadow exists to eliminate fragmented meeting follow-ups by unifying multimodal context capture (audio + visual) and converting it into actionable outputs through custom AI tasks, enabling teams to automate post-meeting workflows without manual intervention.

Main Features

1. Multimodal Context Capture:

   • How it works: Shadow records audio via device microphones while simultaneously capturing on-screen content (presentations, apps, browsers) during meetings. It uses real-time OCR and computer vision to extract text/graphics. All processing occurs locally by default for privacy.
   • Key tech: On-device transcription (likely leveraging speech-to-text APIs like Whisper), pixel analysis for screen content, and speaker diarization.

2. Autopilot Meeting Detection:

   • Automatically triggers recording when meetings start in platforms like Zoom or Teams using calendar integration and activity monitoring. Requires no manual start/stop, ensuring zero missed context.

3. Custom AI Task Engine:

   • Users create tailored post-meeting workflows (e.g., "Extract action items with assignees" or "Identify budget mentions"). Shadow executes these using NLP models to analyze transcribed audio + visual data, outputting structured formats like Markdown or webhooks for Zapier.

4. Real-Time Speaker Identification:

   • Labels speakers dynamically via voice fingerprinting and meeting metadata, attributing comments accurately in transcripts without bot participation.

5. Local-First Data Processing:

   • All transcription and storage occurs on-device unless users opt for cloud features. Uses zero-trust encryption; data never trains public AI models.

Problems Solved

1. Pain Point: Traditional meeting AIs (e.g., Otter.ai, Fireflies) miss critical visual context (slides, designs, dashboards), leading to incomplete notes and manual follow-ups. Shadow solves fragmented meeting context and post-meeting administrative overload.
2. Target Audience:
   • Sales Teams: For capturing demo feedback and CRM updates.
   • Product Managers: Tracking feature requests from design reviews.
   • Consultants: Documenting client requirements from shared decks.
   • Remote Engineers: Capturing code/architecture discussions.
3. Use Cases:
   • Automatically extracting BANT (Budget, Authority, Need, Timing) insights from sales pitches.
   • Generating UX feedback reports from Figma/Canva walkthroughs.
   • Converting interview recordings into Q&A summaries with timestamps.

Unique Advantages

1. Differentiation: Unlike bot-dependent tools (e.g., Gong), Shadow requires no meeting participants to join as "bots," avoiding workflow disruption. Competitors lack integrated visual context analysis, forcing manual screenshot collation.
2. Key Innovation: Screen-aware AI processing – the only tool combining real-time visual OCR with audio transcription to create unified, searchable meeting memories. Its custom task automation (e.g., auto-drafting proposals from budget discussions) uniquely bridges meeting context to execution.

Frequently Asked Questions (FAQ)

1. How does Shadow ensure meeting privacy?
   Shadow processes all data locally on your device by default, with end-to-end encryption. No cloud uploads occur without explicit user consent, and data is never used for AI training.

2. Can Shadow integrate with CRM or project management tools?
   Yes, via Zapier/webhook support. Custom AI tasks export structured data (e.g., "Export key insights to Salesforce" or "Send action items to Asana").

3. Does Shadow work with any video conferencing platform?
   Shadow captures screen content universally across apps (Zoom, Teams, Google Meet) via system-level screen recording, requiring only microphone and screen access permissions.

4. How accurate is Shadow’s visual context analysis?
   Leveraging OCR and layout recognition algorithms, Shadow accurately extracts text/diagrams from slides, documents, and prototypes, with timestamped alignment to spoken dialogue.

5. What happens if I miss a meeting?
   Autopilot Mode auto-detects scheduled meetings via calendar sync. If enabled, Shadow records even if you’re absent, storing transcripts in your searchable memory vault.