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In Parallel

In Parallel is the context layer for your company's AI: it gives each person and each AI one current picture of every project at the depth they may see, with access rights, sensitivity and decay enforced on every share. The AI your team already uses doesn't know what your team decided. In Parallel captures the decisions, threads, and meetings that never make it into a document, keeps a living record, and gives that context to every AI tool in your stack (Claude, Copilot, ChatGPT, Cursor) via MCP

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50 reach 5 · trust 5 · quality 25 · freshness 15
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listed
llms.txt
https://in-parallel.com/llms.txt
llms-full.txt
https://in-parallel.com/llms-full.txt
Sections
12
Links
103
Size
14931 bytes
Popularity rank
#921426
Categories
AI and machine learning
For agents
Documentation: developer or product docs worth reading, nothing to call
First seen
2026-10-19T10:45:21.216Z
Last checked
2026-10-21T20:57:24.805Z
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Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-21T20:57:23.882Z. Cached copy · Source on in-parallel.com

# In Parallel

> In Parallel is the context layer for your company's AI: it gives each person and each AI one current picture of every project at the depth they may see, with access rights, sensitivity and decay enforced on every share. The AI your team already uses doesn't know what your team decided. In Parallel captures the decisions, threads, and meetings that never make it into a document, keeps a living record, and gives that context to every AI tool in your stack (Claude, Copilot, ChatGPT, Cursor) via MCP — so each tool answers with what the company actually decided, with the source behind every answer. Four layers — Notes, MCP, Plans, Diagnostics — over one shared record, so your people and your agents act on the same truth. Built for sensitive, cross-functional work: every workspace is permission-scoped so an AI only ever sees what its user is allowed to see, confidential discussions stay contained, data never leaves the EU unless you ask, and nothing is ever used to train models.

## Product
- [Homepage](https://www.in-parallel.com/): Your AI is great, but it doesn't know what your team decided last Tuesday. In Parallel gives your AI the shared context you already have — the decisions, threads, and meetings it's missing — with the source behind every answer. One memory for every AI tool, served over MCP (Claude, Gemini, ChatGPT, Copilot).
- [In Parallel Notes](https://www.in-parallel.com/notes): AI note-taker — nine-signal extraction from every meeting. Included in every plan, from €29 / user / month.
- [In Parallel MCP](https://www.in-parallel.com/mcp): The MCP context layer — powers Claude, Copilot, ChatGPT and other AI tools with live organisational context.
- [Build on In Parallel](https://www.in-parallel.com/build): For agent builders — give any agent permission-scoped, cited organisational context over MCP, and write its work back into the shared record. Skip building capture, permissions and provenance.
- [In Parallel Plans](https://www.in-parallel.com/plans): Self-updating execution plans with drift detection. From €29 / user / month.
- [In Parallel Diagnostics](https://www.in-parallel.com/diagnostics): 10-lens execution-health scoring, 0–100 per lens, traceable to transcript evidence. €25,000 first run, €15,000 / quarter recurring.
- [Briefings](https://www.in-parallel.com/briefings): Automated stakeholder briefings generated from the shared record (included with paid).
- [Talking Points](https://www.in-parallel.com/talking-points): Meeting talking points drawn from live context (included with paid).
- [How It Works](https://www.in-parallel.com/how-it-works): Capture, Extract, Connect — the 3-step workflow and integrations.
- [Pricing](https://www.in-parallel.com/pricing): Price the knowledge, not the people. Three plans, one per company: Professional €29 (teams under 50 users: meeting notes, chat, pages, workspaces, MCP; 120 KU per user a day) and Business €69 (adds sharing and up to 5 app integrations; 250 KU) per user a mont
…

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