Hyperbound and Shadow are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. Hyperbound: AI sales roleplay and call-scoring platform that lets reps practice with realistic AI buyers and scores real customer calls against custom scorecards. Shadow: A bot-free, Mac-based AI meeting assistant that transcribes and summarizes calls locally without joining as a participant. They overlap on ai-meeting-assistants, so the right pick depends on team size, budget, and which meeting workflows you automate.
For ai-meeting-assistants workflows, shortlist Hyperbound when onboarding and ramping new sdrs and aes with repeatable roleplay practice matters most, and Shadow when capturing notes and summaries across multiple conferencing platforms without a bot joining matters most. Both record across Zoom, Google Meet, and Microsoft Teams; trial each on real meetings before committing.
AI sales roleplay and call-scoring platform that lets reps practice with realistic AI buyers and scores real customer calls against custom scorecards.
AI buyer personas for cold-call, discovery, and objection-handling roleplaysAutomated scoring of real customer calls against custom scorecardsCoaching playlists that surface skill gaps from scored calls
A bot-free, Mac-based AI meeting assistant that transcribes and summarizes calls locally without joining as a participant.
Bot-free capture that records system audio without joining the meeting as a participantCaptures on-screen content in addition to spoken audioCustomizable prompts/Skills to generate notes, summaries, and emails
Hyperbound is a free tier with paid upgrades (freemium); Shadow is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
AI buyer personas for cold-call, discovery, and objection-handling roleplays
Bot-free capture that records system audio without joining the meeting as a participant
Standout feature
Automated scoring of real customer calls against custom scorecards
On-device (local) transcription on macOS
Team usage
Support for sales methodologies like MEDDIC, BANT, Challenger, Sandler, and SPIN
Speaker identification during transcription
Integrations
Coaching playlists that surface skill gaps from scored calls
Captures on-screen content in addition to spoken audio
Languages & capture
Integrations with CRM and conversation-intelligence/sales-engagement tools
Customizable prompts/Skills to generate notes, summaries, and emails
Best-fit workflow
AI buyer personas for cold-call, discovery, and objection-handling roleplays
Webhook integration to connect outputs to other tools
Best for
Hyperbound
Choose Hyperbound if you need onboarding and ramping new sdrs and aes with repeatable roleplay practice — strengths include combines ai roleplay practice with scoring of real calls in one platform.
Shadow
Choose Shadow if you need capturing notes and summaries across multiple conferencing platforms without a bot joining — strengths include does not add a visible bot to meetings.
Pros & cons
Hyperbound
+ Combines AI roleplay practice with scoring of real calls in one platform
+ Customizable scorecards aligned to a team's chosen sales methodology
- Public pricing is not listed, requiring a sales conversation
Shadow
+ Does not add a visible bot to meetings
+ Local transcription keeps core audio processing on the device
- Available for macOS only
FAQ
Is Hyperbound or Shadow better for AI meeting notes?
It depends on your workflow. Hyperbound is strong for onboarding and ramping new sdrs and aes with repeatable roleplay practice, while Shadow is strong for capturing notes and summaries across multiple conferencing platforms without a bot joining. Both transcribe and summarize meetings.
How do Hyperbound and Shadow compare on price?
Hyperbound is a free tier with paid upgrades and Shadow is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Can I use both Hyperbound and Shadow?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.