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.
In Parallel
What is In Parallel?
In Parallel vs Similar AI Tools
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How to use In Parallel?
- 1Connect your calendar and tools (e.g., Slack, Notion).
- 2In Parallel automatically joins meetings and captures decisions.
- 3Use any AI tool (like ChatGPT, Claude) with In Parallel as context via MCP.
- 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.
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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