Your team decided that already.

We’ve spent the last year building agent systems for venture studios, biotech founders, and ops teams at companies with real revenue. The same pattern shows up in every team we’ve worked with.

Someone makes a decision in a Slack thread. Three weeks later, a customer asks about it, and nobody can find the answer. The team scrolls, pings the channel, half-remembers, half-disagrees, and re-decides. A month later, it happens again.

Or it’s a candidate the team passed on in August. Their resume comes through a referral in November. Nobody remembers why you said no the first time.

Or it’s a customer commitment from a sales call. The CS lead made a promise. The engineer who’d build the thing wasn’t on the call. The promise sits in a meeting transcript nobody opens until the customer follows up six weeks later.

The pattern isn’t a Slack problem. It’s a context problem. Decisions get distributed across the tools your team actually uses. Slack threads, Notion docs, Linear tickets, shared drives, meeting transcripts. And no human is responsible for stitching them back together. So when someone needs the answer, it doesn’t exist as a single thing. It exists as fragments, in five places, and your team rebuilds it from scratch.

What we built

Zodus connects to the tools your team already uses. Slack, Notion, Granola, Linear, Drive, Gmail. It reads what your team writes, links the fragments together, and remembers what was decided across all of it.

When you need an answer, ask in any Slack channel. @zodus what did we agree on with the customer last quarter? Zodus pulls from the relevant Slack threads, the Notion doc, the meeting transcript, and the Linear ticket, then gives you a single answer with sources cited.

But Zodus doesn’t just answer when asked. It watches. When a conversation heads toward a decision the team already made last month, in a thread or a doc nobody’s opened, it surfaces the context before anyone has to go looking.

Install takes one OAuth click. No admin setup, no config file, no training day. You keep working the way you already do.

Not a search tool. Not a chatbot.

Most tools that promise to fix this are built around retrieval. You ask, they search, they return results. That’s useful. It’s also the easy version of the problem.

The harder version is what happens when nobody knows to ask yet. A decision is being re-litigated in a thread when the team already settled it six weeks ago. A new hire is asking questions that are answered in a doc that predates them. A customer promise is sitting in a transcript that nobody knows to look at until the customer follows up.

Zodus is built for that. The retrieval is the wedge. The real product is proactive context. It surfaces what’s relevant before the question forms, in the moment it actually matters.

We didn’t build this because AI made it possible. We built it because we’d watched it fail in teams we’d worked inside. The first version of Zodus ran internally at Triad. Then we deployed it for clients. Now we’re shipping it more broadly because the problem doesn’t change with company size or industry. It just gets more expensive.

Pricing