Engineering leaders shouldn't fly blind on AI
We're building the tool we wished we had: visibility into AI adoption without sacrificing engineer trust.
Our Story
We were engineering leaders who'd just given our teams access to every AI coding tool on the market. Claude, Cursor, Copilot, ChatGPT. The whole stack. Budget approved. Cards swiped.
Six months later, the CFO asked a simple question: "Is this actually helping?"
We had no idea. Were some engineers getting 10x value while others barely touched the tools? Were people using Claude for the hard problems and ChatGPT for the easy ones, or vice versa? How much were we even spending? We were guessing.
So we built a dashboard. But here's the thing: we didn't want to become the tool that reads engineers' code. That would destroy the trust we'd spent years building. So we made a promise: insights without exposure.
Zaluno extracts patterns (what tools are being used, how much they cost, which prompting styles work) without anyone ever reading the raw conversations. Not managers. Not admins. Not us.
Today, that dashboard has become Zaluno. And we're still obsessed with the same question: how do you give leaders the data they need without sacrificing the trust that makes engineering teams work?
Our Values
Privacy is non-negotiable
We could make more features if we read transcripts. We won't. Insights without exposure isn't a tagline. It's how we build everything.
Engineers come first
Every feature starts with: "Would I want my manager using this on me?" If the answer is no, we don't ship it.
Data beats opinions
We don't guess. We measure. Our own product decisions are driven by what the data tells us, and yours should be too.
AI is a tool, not a replacement
We're not here to track productivity. We're here to help engineers get better at using AI, and help leaders understand what's working.
Want to work on this problem?
We're hiring engineers, support specialists, and salespeople who care about privacy and engineering productivity.
See open roles