
In Parallel
The Shared Context Layer for Enterprise AI
149 followers
The Shared Context Layer for Enterprise AI
149 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
Launching today
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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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.