Operational diligence,
finally measurable.
Financial diligence audits what already happened. Legal diligence audits what could be enforced. We’re building the diagnostic for the layer that matters most and gets measured least: how a company actually operates.
Every investor has the story.
The deal that looked great on paper. The model that worked. The lawyers that signed off. The market thesis that held. Then year one rolled around and the company missed its plan for reasons no spreadsheet predicted — a CTO who left, a culture clash with the new owners, a sales team that couldn’t hit numbers without its founder. The signals were there. They just weren’t being measured.
Every founder has the same story in reverse. They scaled the team, doubled headcount, raised the round — and somehow everything got slower, harder, and more confusing than when there were eight of them in a room. The thing slowing them down wasn’t in the KPIs. It was in how decisions were actually getting made.
We’re building the operational diagnostic we wished existed when we were on either side of those stories. One read-only login. Nine dimensions. Twenty-four hours from connect to a real diagnosis with a real action plan — not a 200-page deck nobody reads.
Four principles
we won’t compromise on.
The constraints we hold ourselves to as we build Zoe. They show up in every diagnostic and every product decision.
Data over opinions
Every Zoe finding is anchored in behavioral signal from the company’s own systems — not in survey responses, interview impressions, or consultant intuition. The data tells the truth even when people don’t want to.
Speed over depth
A diagnostic that takes eight weeks gets used once. A diagnostic that takes 24 hours gets used at every decision point. We pick the speed every time — then fight to make the depth match.
Patterns over content
We never read message bodies, code, documents, or financial line items. The patterns in metadata — who talks to whom, how often, in what cadence — carry the signal. Privacy and depth are not a tradeoff.
Findings, not vibes
Every Zoe finding is specific, attributable, and falsifiable. Not "improve communication" — "engineering and product stopped talking directly on December 15." If we can’t point at the data, we don’t ship the finding.
Most companies don’t fail
for the reasons people think.
They fail because the operational reality — how decisions move, where the bottlenecks live, how much energy quietly drains out of the system — was never measured.
The financial signals are trailing indicators. By the time they move, the leading indicators have been moving for months. Zoe is the leading-indicator dashboard.
destroy value
See what we’re building.
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