in-parallel.com valid
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
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
…
Related sites
Other listed sites in AI and machine learning. See the whole category →
| Domain | Title | Category | Country | Authority | llms.txt | llms-full.txt | Save |
|---|---|---|---|---|---|---|---|
| sourcey.com | Sourcey | interface AI and machine learning AI agents and MCP | 70 | ✓ | ✓ | ||
| gofrantic.com | Frantic | interface AI and machine learning AI agents and MCP | 61 | ✓ | |||
| intellweb.ai | Intellweb | documentation Ecommerce Productivity +3 | US | 61 | ✓ | ✓ | |
| agentwebmap.com | Agent Web Map | interface AI and machine learning AI agents and MCP +1 | FR | 60 | ✓ | ✓ | |
| cloudflare.com | Cloudflare | interface AI and machine learning Cybersecurity +1 | 85 | ✓ | ✓ | ||
| adobe.com | Adobe Tools | transactional AI and machine learning Design +1 | FR | 75 | ✓ | ||
| taboola.com | Taboola.com | documentation AI and machine learning Marketing | 75 | ✓ | ✓ | ||
| opera.com | The Opera browser overview | documentation Infrastructure AI and machine learning +2 | NL | 74 | ✓ |
Machine-readable: GET /v1/resolve?q=in-parallel.com · GET /v1/domain/in-parallel.com · this page as Accept: application/json or text/markdown · MCP lookup_domain
Automatically discovered from public files. Inclusion does not imply endorsement or publisher participation.
Own or manage this website?
If you own or manage in-parallel.com, you can update its listing and review file health, discovery activity and score history.
Manage this listing — optional
What verification unlocks
See how your site is discovered—and control what agents see.
- Control what agents see
Edit your listing description, tags, public contact details and additional llms.txt paths. Publish your terms for automated access, attribution and pricing.
- Make your profile eligible for search
A valid, listed, unblocked, verified profile can appear in our publisher sitemap and become eligible for search-engine visibility. Search engines decide what to index and rank.
- Appear in our llms-full.txt
Eligible verified publishers are listed by name, with their file links and summaries, in the service overview agents can read.
Free. No account registration, backlink or payment required. Public discovery remains available without verification.
Let your coding agent verify it
If your coding agent is authorized to manage this website, paste these instructions into it.
Claim my listing on Agent Web Map for in-parallel.com:
1. POST https://agentwebmap.com/v1/sites/in-parallel.com/claims and keep claim_id and claim_secret private.
2. Publish the proof: add the line "AgentWebMap ownership: <token>" (token from step 1) to https://in-parallel.com/llms.txt, or use the DNS, meta-tag or well-known method the response describes.
3. POST https://agentwebmap.com/v1/sites/in-parallel.com/verify with {"claim_id": "...", "claim_secret": "..."}.
4. Save the api_key from the answer; it manages the listing (PATCH https://agentwebmap.com/v1/sites/in-parallel.com).
MCP equivalent: tools begin_ownership_claim, then verify_domain, at https://agentwebmap.com/mcp. Docs: https://agentwebmap.com/docs#verifyCorrections or removal requests: contact the directory.