In Parallel
The Shared Context Layer for Enterprise AI
63 followers
The Shared Context Layer for Enterprise AI
63 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.
In Parallel
Hey PH 👋
Kristian here, co-founder at In Parallel.
I've spent most of my career shipping products — 60+ of them at OP Financial Group, 15 company integrations, teams up to 300M active users. And the thing that never stopped bothering me wasn't the building. It was everything around the building.
The meeting where we decided the thing. The follow-up meeting where we re-decided the thing. The deck explaining the thing. The status update about the deck. Somewhere in there, actual product work happened — usually at 10pm.
I don't think that's the job. I think it's a bug in how organizations coordinate, and most "productivity tools" just add another surface to maintain on top of it.
So we built In Parallel as infrastructure, not another app. It sits underneath your tools, captures what was actually decided in every meeting, and keeps the plan alive without anyone babysitting it. Notes is free forever. Plans syncs with whatever you already use. Diagnostics gives you a weekly, honest picture of how the org is really running — not the one in the board pack.
A question I'd love your answer to: What's the most pointless recurring meeting on your calendar righ
t now — and why is it still there? I'll go first in the replies 😅
In the comments all day. Thank you for checking us out 🙏
— Kristian
@kristian_luoma This is promising to a lot of cohorts in need of parallel work (great name that way). But how often do teams realize the problem wasn’t execution - it was that everyone left the meeting with a different understanding?
In Parallel
@syonda Great point. That is one of the big problems, the human attention span is rarely at 100% throughout the meeting.
I'd say, through the use of the product it starts to feel like using "google maps" vs "paper maps", meaning that cognitive load is absent altogether.