Compare to
Notion AI
Notion AI is great when your workspace is current — it reasons over the docs, wikis, and databases your team maintains.
In Parallel removes the maintenance: it builds organisational memory from meetings automatically, then serves it to Notion and every other AI tool over MCP.
What are the key differences?
From AI over docs you maintain to memory that maintains itself.
From manual upkeep to context captured automatically
Notion AI is only as good as the workspace behind it — and keeping pages current is real work that slips. In Parallel captures decisions and commitments from meetings as they happen, so the memory stays current without anyone maintaining a doc.
From workspace content to a structured record of decisions
Notion reasons over the content you put in it. In Parallel extracts structure — decisions, owners, commitments, risks — and keeps a living plan, so questions like “what did we agree and who owns it” have a direct answer.
From one workspace to every AI tool you use
In Parallel serves its memory over MCP, so the same context is available in Claude, Copilot, ChatGPT, and Cursor — not only inside Notion. Notion AI stays useful for the docs you keep there; In Parallel covers the decisions that never get written down.
When to choose Notion AI
- Your team already maintains a rich, current Notion workspace
- You want AI embedded directly in the pages and databases you live in
- Documentation discipline is strong and upkeep is not a problem
- Reasoning over existing workspace content is the main need
When to choose In Parallel
- Keeping the workspace current has become the work
- Key decisions happen in meetings that never reach a doc
- The same memory should reach AI tools beyond Notion
- You want a living plan, EU hosting, and permission scoping
Frequently asked questions
Does In Parallel replace Notion or Notion AI?
No. Notion remains your workspace; Notion AI reasons over it. In Parallel adds memory captured automatically from meetings and serves it over MCP — including to Notion — so your AI answers from current decisions, not only from pages someone remembered to update.
How is this different from writing good meeting notes in Notion?
Good notes still depend on someone writing and maintaining them. In Parallel joins the meeting, extracts the decisions and commitments as structured signals, and keeps a living plan automatically — then makes that available to Notion AI and other tools.
Can In Parallel feed context into Notion AI?
In Parallel publishes organisational memory over the Model Context Protocol, which MCP-capable tools can consume. The same context is also available to ChatGPT, Copilot, Claude, and Cursor.
Priced per user. Volume and duration earn the discount.
41% of the work week goes to coordination. In Parallel gives it back.
Plans + everything
€69
per user / month
- Notes free for 20 days — unlimited workspaces.
- Volume + duration discounts apply — down to €39 at 10,000 paid users on multi-year.
- Passive users (no usage) not invoiced.
- Enterprise terms available for over 100 users — SSO, SCIM, custom retention.
Memory that maintains itself.
See how In Parallel captures org memory from meetings and serves it to every AI tool. 30-minute demo.