Comparison
Shared 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.
Siloed AI tools
- Each tool starts every prompt from zero
- No shared memory of decisions or commitments
- Answers vary because context varies
- Sensitive context copy-pasted into prompts
- AI value capped by what one person remembers to paste
Shared context with In Parallel
- One organisational memory every tool can read
- Decisions, plans, and signals available via MCP
- Consistent answers from a single source of truth
- Governed by workspace boundaries — least privilege
- AI value scales with the whole record, not one memory
The context layer is the unlock
AI is roughly an order of magnitude more useful when it has your organisational context. In Parallel is that context layer: it captures what happens across your meetings and exposes it through MCP, so any connected tool works from your real, current business — not a generic model with a clever prompt.
Governed, not leaky
Sharing context should not mean spraying it everywhere. In Parallel scopes access to workspaces — governed boundaries that ensure each tool, team, and agent sees only what it should. Shared context with least privilege, by design.
The first step to multiplayer AI
Single-player AI assists one person at a time. When every agent draws from the same shared record, they coordinate. In Parallel is the first step towards multiplayer AI — tools that act together on one organisational truth.
FAQ
Common questions
- What is a siloed AI tool?
- An AI tool that starts every prompt from a blank slate because it has no shared memory of your organisation’s decisions, plans, or commitments.
- How does In Parallel connect my AI tools?
- It publishes your shared context as an MCP server, so Claude, Copilot, ChatGPT, and Cursor all read from one organisational source of truth instead of guessing.
- Is sharing context across AI tools a security risk?
- No — access is scoped to workspaces, so each tool and agent sees only what it should. Data is EU-hosted and never used to train models.
Start with your next meeting.
Bring your team in. Use every surface, including every other team's. No credit card. Notes is free for 20 days.
30-minute demo. We'll show you how meeting signals become a plan that maintains itself.