Compare to
Microsoft Copilot
Copilot is strong inside Microsoft 365 — it grounds answers in your files, email, and chats across the Microsoft Graph.
In Parallel adds the layer Copilot does not: a structured, always-current memory of what was decided and committed, captured across every tool — not just the Microsoft ones.
What are the key differences?
From AI over your files to a live memory of what was decided.
From the Microsoft Graph to every tool your teams use
Copilot is at its best when your work lives in Microsoft 365. Most organisations also run Slack, Linear, Salesforce, Notion, and more. In Parallel captures context across all of them and makes it available to Copilot too — so the gaps outside the Microsoft estate stop being blind spots.
From content retrieval to a structured record of decisions
Copilot reasons over documents, email, and meetings as content. In Parallel extracts the structure — decisions, owners, commitments, risks, and a living plan — so an answer about “what did we agree” comes from a record built for that question, not from re-reading files each time.
From one assistant to context shared across AI tools
In Parallel serves the same memory over MCP to Copilot, ChatGPT, Claude, Cursor, and beyond. Your organisational context is not trapped inside a single vendor’s assistant.
When to choose Microsoft Copilot
- Your work lives almost entirely in Microsoft 365
- You want AI embedded directly in Word, Excel, Teams, and Outlook
- You are standardised on Microsoft and do not need cross-vendor context
- Document and email reasoning is your primary need
When to choose In Parallel
- Your teams use tools from several vendors, not just Microsoft
- You need a structured record of decisions and commitments, not just content search
- The same context should reach Copilot and other AI tools alike
- You want EU hosting and a plan that maintains itself
Frequently asked questions
Does In Parallel replace Microsoft Copilot?
No. They are complementary. Copilot works inside Microsoft 365; In Parallel maintains a cross-tool memory of decisions and commitments and can serve it to Copilot over MCP, so Copilot answers from current organisational context — including the work that happens outside Microsoft.
We are a Microsoft shop. Why add In Parallel?
Even in a Microsoft-centric stack, decisions get made in meetings and in tools like Slack, Linear, or Salesforce. In Parallel captures that across the board and keeps a living plan, then makes it available to Copilot — covering the context Copilot alone does not reach.
Can In Parallel feed context to Copilot?
In Parallel publishes organisational memory over the Model Context Protocol. Any MCP-capable client can consume it; support depends on the MCP capabilities of your Copilot deployment. The same context is also available to ChatGPT, Claude, and Cursor.
One price per seat. Pick how long memory is kept.
41% of the work week goes to coordination. In Parallel gives it back.
Data retention
30-day memory
€29
per user / month
Memory kept for 30 days.
1-year memory
€69
per user / month
Memory kept for 1 year.
10-year memory
€254
per user / month
Memory kept for 10 years.
Enterprise
Custom
A platform fee for support and custom integrations. For over 100 users, or SSO and SCIM.
Talk to sales →On-premises
10%
of licence value, per year
Plus a one-time installation fee of 10% of licence value. You provide the hardware, software and GPUs.
Talk to sales →- Billed monthly at list price, no commitment — or save 20% on an annual commitment, 30% prepaid.
- The same per-seat price whether you are five people or five thousand.
- Every plan is the full product. Only how long memory is kept changes.
Memory for Copilot — and every other AI.
See how In Parallel gives Copilot current, cross-tool org context over MCP. 30-minute demo.