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Where does your AI get its context?
Most teams compare In Parallel to the AI tools they already use — ChatGPT, Copilot, Glean, Notion AI — and to meeting assistants and project trackers. The difference is the same in every case: In Parallel is the organisational memory those tools read from, kept current automatically and served to each one over MCP.
AI tools & search
ChatGPT, Copilot, Glean, Notion AI — powerful, but they answer from what you attach or what is already written down. The context is yours to maintain.
Meeting assistants & trackers
Capture transcripts or track tasks. Useful, but someone still has to turn them into current context — and keep it that way.
The AI context layer
In Parallel captures decisions and commitments from meetings automatically, keeps a living plan, and serves that memory to every AI tool over MCP.
Side-by-side comparisons
ChatGPT Projects
AI assistant + Projects
A chat assistant you feed context to vs memory that is already there.
CompareMicrosoft Copilot
AI inside Microsoft 365
AI over your files and email vs a live, cross-tool memory.
CompareGlean
Enterprise AI search
Search across what was written vs a structured record of what was decided.
CompareNotion AI
AI inside your workspace
AI over the docs you maintain vs memory that maintains itself.
CompareFellow
AI Meeting Assistant
Meeting notes and agendas vs a living execution plan.
CompareFireflies.ai
AI Meeting Transcription
Transcripts and action items vs coordination intelligence.
CompareOtter.ai
AI Transcription
Meeting transcripts vs a living execution plan.
CompareFathom
Free AI Note-Taker
Meeting summaries vs execution intelligence.
Comparetl;dv
Meeting Recording
Video clips and recordings vs a living execution plan.
CompareGranola
Personal Meeting Notes
Beautiful personal notes vs organizational coordination.
CompareAvoma
Revenue Intelligence
Revenue intelligence vs execution intelligence.
CompareRead.ai
Meeting Copilot
Knowledge search vs coordination that drives execution.
CompareSpinach
AI Scrum Master
Sprint ceremonies vs organization-wide coordination.
CompareAtlassian
Loom + Jira + Confluence
An ecosystem of building blocks vs an intelligence layer.
CompareClickUp
All-in-One Project Management
Project management with AI vs execution intelligence.
CompareWorkBoard
Enterprise OKR Platform
Top-down OKR alignment vs bottom-up execution intelligence.
CompareMicrosoft Planner
Task Management (Microsoft 365)
Kanban boards inside Microsoft 365 vs cross-tool execution intelligence.
CompareLoom
Async Video (Atlassian)
Async video messaging vs a living execution plan.
CompareStilla
Multiplayer AI Agent
An AI agent that does tasks vs execution intelligence.
CompareBuild it yourself
DIY internal context layer
Docs in Git with a model pointed at them vs a governed, preprocessed context layer.
CompareSee the difference for yourself.
30-minute demo. We'll show you how your meetings become a living execution plan -- and how that changes everything.
By approach
Not just other tools — the ways teams coordinate today.
In Parallel vs meeting notes tools
A note-taker hands you a transcript and a summary. The work of turning that into decisions people act on is still yours. In Parallel closes that gap.
See the comparisonIn Parallel vs manual status reporting
Status reporting is the most expensive recurring meeting you run: hours spent chasing updates, reconciling versions, and rebuilding the same deck. In Parallel produces it for you.
See the comparisonIn Parallel vs project trackers alone
A project tracker is only as current as the last person who remembered to update it. The decisions that move the work happen in meetings — and never make it back to the board.
See the comparisonShared context vs siloed AI tools
You have Copilot in Microsoft 365, Claude on the desktop, ChatGPT in the browser, Cursor in the IDE. None of them know what your company decided last week. That is the silo problem.
See the comparisonContinuous diagnostics vs periodic consulting
A management consulting review interviews a sample, writes a deck, and leaves. By the time you read it, the organisation has moved on. In Parallel diagnoses continuously.
See the comparisonSelf-updating plans vs manually maintained plans
Every team has a plan. Almost no team has a current one. The maintenance cost is so high that the plan is stale within days — and decisions route around it. A self-updating plan changes that economics.
See the comparison