Shadow

Product Introduction

1. Shadow is an AI-powered meeting productivity tool that automatically captures, processes, and operationalizes insights from conversations. It integrates real-time transcription, action item tracking, and workflow automation to transform discussions into executable outcomes without manual note-taking. The tool operates seamlessly in the background during meetings across platforms like Zoom, Google Meet, and Microsoft Teams.
2. The core value of Shadow lies in eliminating post-meeting administrative work by converting verbal discussions into structured, searchable knowledge assets. It ensures organizational alignment by automatically generating follow-up tasks, extracting key insights, and maintaining accountability through speaker-specific action items. This enables teams to focus on execution rather than documentation.

Main Features

1. Shadow automatically transcribes meetings in real time using on-device processing while simultaneously capturing manual notes through its integrated notepad. It employs speaker identification algorithms to label participants without requiring pre-registered voice profiles, ensuring accurate attribution of comments and action items. The system syncs with calendar events to auto-detect and join scheduled meetings.
2. The platform uses AI to analyze transcripts and generate structured outputs including meeting summaries, sales debriefs, and investor updates. It automatically extracts critical business insights such as budget figures, decision timelines, and stakeholder authority levels. Users can query meeting histories through a natural language interface to instantly retrieve specific information.
3. Shadow operates in fully automated "Autopilot Mode" that requires no user interaction during meetings, from automatic recording initiation to post-meeting workflow triggers. It integrates with CRM systems to auto-populate fields and connects to task management tools like Asana to create assignments with due dates. All processing occurs locally on user devices except for AI skill execution, which uses encrypted transcript excerpts.

Problems Solved

1. Shadow addresses the productivity loss caused by manual meeting documentation and post-meeting follow-up coordination. It eliminates the need for participants to simultaneously engage in discussions while taking notes, reducing cognitive load and improving meeting focus. The system prevents critical action items from being overlooked or poorly documented due to human error.
2. The tool primarily serves client-facing professionals including sales teams, project managers, and executives who conduct frequent decision-making meetings. It is particularly valuable for remote teams requiring accurate record-keeping across time zones and for organizations scaling operations while maintaining meeting accountability.
3. Typical use cases include automatically generating post-interview candidate assessments, creating investor update reports from funding discussions, and compiling product requirements from cross-functional team meetings. Sales teams utilize it to extract BANT (Budget, Authority, Need, Timeline) qualifications directly from discovery calls into CRM systems.

Unique Advantages

1. Unlike cloud-based competitors, Shadow processes audio locally on user devices using proprietary speech-to-text engines, ensuring compliance with strict data privacy regulations. This architecture enables offline functionality and eliminates latency issues common in web-based transcription services. The system does not require browser extensions or virtual meeting plugins for operation.
2. Shadow's patented Autopilot Mode combines calendar integration, application monitoring, and voice activity detection to automatically initiate and configure meeting recordings. Its contextual AI understands industry-specific terminology across 14 business domains, automatically tagging specialized terms in legal, technical, and financial discussions without custom dictionaries.
3. The platform maintains a permanent, searchable knowledge base that correlates meeting outcomes with related documents and task executions. Unlike bot-dependent solutions, it operates invisibly during meetings without disrupting conversation flow. Enterprise deployments offer custom AI skill development for industry-specific workflows through a no-code interface.

Frequently Asked Questions (FAQ)

1. How does Shadow handle sensitive meeting content? All audio processing occurs locally on your device using dedicated hardware acceleration, with only encrypted text excerpts sent to secure servers for AI analysis. The system adheres to GDPR and CCPA compliance standards, with enterprise options for fully on-premise deployment that eliminate cloud processing entirely.
2. Can Shadow integrate with our existing project management tools? Yes, Shadow offers native integrations with Asana, Jira, Salesforce, and Microsoft 365, with API access for custom connections. The system automatically formats action items according to each platform's specifications, including due dates, assignees, and priority levels extracted from meeting context.
3. How accurate is the automated speaker identification? Shadow's real-time diarization algorithm achieves 92% accuracy in typical office environments using proprietary voiceprint analysis that requires no pre-registration. The system continuously improves identification accuracy across recurring meetings through machine learning models that track speaker patterns and collaboration histories.