Compare to
ChatGPT Projects
ChatGPT is brilliant at reasoning over what you give it. The catch is the giving: you paste the context, attach the files, and remember the decisions yourself.
In Parallel keeps your organisation’s memory current automatically — and serves it to ChatGPT, and every other AI tool, over MCP.
What are the key differences?
From context you assemble to memory that is already there.
From attaching context to context that is already current
A ChatGPT Project is only as current as the last time someone updated its files and instructions. In Parallel builds your organisation’s memory from meetings, threads, and email as they happen, so the context an AI answers from reflects what was decided this week — not what you last remembered to upload.
From a personal assistant to shared organisational memory
Projects are personal by default — your context lives with you. In Parallel maintains one shared memory for the organisation, permission-scoped so each person (and each AI tool acting for them) sees only what they are allowed to see.
From one app to every AI tool you use
In Parallel exposes your memory over the Model Context Protocol (MCP). The same organisational context is available in ChatGPT, Copilot, Claude, Cursor, and any other MCP-capable tool — you are not locked into a single assistant to benefit from it.
When to choose ChatGPT Projects
- You want a personal assistant for ad-hoc reasoning and drafting
- Your context fits in a handful of files you can attach
- You are standardised on ChatGPT and do not need other AI tools to share the same context
- You prefer to curate exactly what the model sees, each time
When to choose In Parallel
- You want answers grounded in what the company actually decided, not what you uploaded
- The same context should be available across teams and across AI tools
- Keeping context current by hand has become the work
- You need EU hosting, permission scoping, and source-backed answers
Frequently asked questions
Does In Parallel replace ChatGPT?
No. In Parallel is the memory layer, not the assistant. You keep using ChatGPT — In Parallel connects to it over MCP so ChatGPT can answer from your organisation’s current context instead of files you attach by hand.
How is this different from a ChatGPT Project with files attached?
A Project holds the context you give it and keeps it until you change it. In Parallel maintains the context for you: it captures decisions, commitments, and plan changes from meetings and tools automatically, keeps them current, and serves them to ChatGPT and other AI tools — permission-scoped per user.
Can other AI tools use the same context?
Yes. Because In Parallel publishes context over MCP, the same organisational memory is available in Copilot, Claude, Cursor, and any MCP-capable tool — not just ChatGPT.
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.
Give ChatGPT your organisation’s memory.
See how In Parallel feeds ChatGPT current org context over MCP — no copy-paste. 30-minute demo.