AI Meeting Assistant

In Parallel

In Parallel gives your AI the shared context it needs by automatically capturing meetings, decisions, and plans, and making them available to any AI tool with source-backed answers.

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In Parallel

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What is In Parallel?

In Parallel is a context layer for enterprise AI that automatically joins meetings, captures decisions and commitments, keeps plans updated, and provides a shared memory accessible by any AI tool via MCP.

In Parallel vs Similar AI Tools

Pricing ModelFree, Free TrialFree, FreemiumFree, PaidCustom Pricing
Free Credits
Key Features
  • Automatically joins meetings and captures decisions and commitments
  • Keeps plans up to date without manual intervention
  • Provides a shared context layer accessible by any AI tool via MCP
  • One-click recording without bots or announcements
  • Hidden mode that doesn't interrupt participants
  • AI-powered transcription with speaker labels and timestamps
  • Create multiple digital business cards for different contexts (work, personal, etc.)
  • AI-powered OCR to scan and digitize physical business cards instantly
  • Share cards via QR code or link—no app download required for recipients
  • Email triage and drafting in your voice
  • Meeting scheduling without back-and-forth
  • Automated meeting preparation and post-call recaps
Pros
  • Automatically captures meeting context and decisions with little setup
  • Works with any AI tool via MCP, avoiding vendor lock-in
  • No bots or recording announcements
  • Works with multiple platforms (Google Meet, Zoom, Teams, Webex)
  • Accurate OCR for scanning physical cards
  • Easy sharing without app requirement
  • Proactive background work
  • Integrates with Gmail, Calendar, Slack, and more
Cons
  • Pricing may be high for small teams or startups
  • Requires integration with existing tools (calendar, Slack, etc.)
  • Free plan limited to 5 recordings
  • Only available as Chrome extension (not native desktop app)
  • Free tier has limited features
  • Mobile-only; no desktop app
  • Requires initial setup call
  • May need human review of drafts
Best For
  • Managers and teams using AI tools that need up-to-date shared context
  • CTOs and Heads of AI implementing enterprise AI strategies
  • Professionals who need to record and transcribe online meetings
  • Sales teams wanting to analyze calls
  • Networking professionals
  • Sales representatives
  • Busy professionals and founders
  • Small business owners

How to use In Parallel?

  1. 1Connect your calendar and tools (e.g., Slack, Notion).
  2. 2In Parallel automatically joins meetings and captures decisions.
  3. 3Use any AI tool (like ChatGPT, Claude) with In Parallel as context via MCP.
  4. 4Ask questions and get answers with source citations.

In Parallel Key Features

  • Automatically joins meetings and captures decisions and commitments
  • Keeps plans up to date without manual intervention
  • Provides a shared context layer accessible by any AI tool via MCP
  • Permission-scoped access mirroring user permissions
  • EU-hosted, GDPR compliant, ISO 27001 and ISO 42001 certified
  • Never trains AI on your data
  • SSO, RBAC, and audit logs included

In Parallel Use Cases

  • The plan that updates itself - plans stay true to reality without manual updates
  • The status report that writes itself - promises tracked to done
  • The drift alert before the fire drill - spot when reality diverges from the plan
  • Keeping all AI tools informed of team context without manual context files
  • Reducing time spent chasing context across meetings, threads, and tools

In Parallel Pricing & Free Credits

In Parallel currently operates on a Free, Free Trial model.

Plans + Everything

€69 per user/month

Full product free for 20 days with unlimited workspaces. Volume and duration discounts apply down to €39 per user/month at 10,000 paid users on multi-year. Passive users not invoiced. Enterprise terms available for over 100 users.

In Parallel Pros & Cons

Pros

  • Automatically captures meeting context and decisions with little setup
  • Works with any AI tool via MCP, avoiding vendor lock-in
  • Permission-scoped and secure with EU hosting and compliance certifications
  • Saves managers 25-35 hours per month on coordination

Cons

  • Pricing may be high for small teams or startups
  • Requires integration with existing tools (calendar, Slack, etc.)
  • Effectiveness depends on the quality of captured data

What is In Parallel best for?

  • Managers and teams using AI tools that need up-to-date shared context
  • CTOs and Heads of AI implementing enterprise AI strategies
  • COOs and PMOs looking to reduce coordination overhead

In Parallel FAQ

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