
In Parallel
The Shared Context Layer for Enterprise AI
188 followers
The Shared Context Layer for Enterprise AI
188 followers
In Parallel continuously maintains a shared understanding of your organization.
As work happens, it keeps goals, decisions, ownership, risks, and progress up to date, giving both teams and AI a trusted operational picture of what's actually happening. Connect Claude, ChatGPT, Copilot, and other AI tools through MCP, with enterprise-grade security including EU hosting, permission-scoped access, GDPR, ISO 27001, ISO 42001, and SOC 2 Type II.
This is the 2nd launch from In Parallel. View more
In Parallel MCP
Launched this week
You've explained your company to ChatGPT. Then to Claude. Then to Copilot.
Every time you open a new chat, you start from scratch. Paste the notes. Upload the document. Copy in the email thread. Summarize what your team decided two weeks ago — to a tool that could've just known it all along.
In Parallel's MCP server ends that. Connect it once, and whichever AI you open already knows your meetings, decisions, and context. Just ask the question. Less prose. More truth.





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Launch Team / Built With


This bit me two weeks ago, a rule I set at planning stage silently disappeared before the generation step and the output invented a fact. Took a day to find where the context died. So, real question: two agents pull the same context, one updates it mid-task, what happens? Last write wins or something smarter?
In Parallel
@vladimir_iudin yeah, I hate when that happens. Well, we're building and maintaining decisions-based context that is the artefact e.g. something that can work for between people, not just between sessions. But to pull that off it is something smarter: so we save the "graph" of events and relationships, and use that.
@kristian_luoma Saving the graph instead of raw context answers it, yeah. "Between people, not just between sessions" is the part I'm going to sit with, my per-client fact bases are still session-shaped and that's probably a ceiling I haven't hit yet. Thanks Kristian.
SOC 2 Type II for an MCP context layer is exactly the boring enterprise signal I'd look for
In Parallel
@oleksandr_knyga 100%. Not only that, we got also ISO 42001. While not as hot yet, I'd say it'll be the future. If interested, here's some more boring stuff: https://podcasts.apple.com/cz/podcast/episode-1-pioneers-of-the-new-ai-standard-iso-42001/id1790620457?i=1000684062280&l=cs
Calendbook.com v1
As a CPO this hits a nerve 😅 The gap between "what we decided in the room" and "what's actually on the roadmap" is where half my week disappears. Every tool captures something — notes, tickets, docs — but the decision itself always seems to fall through the cracks. Love that In Parallel sits underneath instead of adding yet another surface to babysit. Pricing per workspace instead of per seat is the right call too. Congrats on the launch, upvoted 🚀
One thing that would make this a no-brainer for me is a mobile companion app. Most of my context-switching happens away from my desk, and being able to quickly check on goals, risks, or ownership changes from my phone would keep me aligned even when I'm not at my laptop. A simple read-only view with the ability to flag updates would be enough.
In Parallel
@eyll09641878946 .. did you just read our roadmap? Working on it!
The portability problem is the real one: context trapped in each tool means every agent is a stranger. Building on MCP is the right bet because it standardizes that layer instead of locking it to one app. The test will be keeping context fresh, stale shared context is worse than none.
In Parallel
@shivangit26 Amen.
Congratulations on the launch! Solving the context problem for organizations with information moving faster than ever is a big deal! Heck, just figuring out how to manage my own personal context as a solo builder to make the most out of AI has it's challenges.
In Parallel
@derrek_pearson It's true!