







The signals in your work already show who's thriving, who's drifting, and who's leaving 60 days early.
Privacy-first, EU AI Act-aligned, humans make every call.
























Moneyball for companies.

Baseball spent a century chasing the wrong stats until someone looked at what actually wins games. We did the same for work. The High-Performer Graph is built on nine peer-reviewed meta-analyses and 2,200 behavioral profiles. Every person mapped across eight behavioral dimensions. Some dimensions predict performance everywhere. Others depend entirely on context. Knowing the difference is the model.
Early signals that prevent churn, mis-hires, and performance drift.
Know who needs a conversation before they take the recruiter's call.
See the work that's actually moving the business not the loudest voice in the review meeting.
Hire against the behavioral patterns of people who actually performed. Not resume theater.
Where every hire bends the trajectory.
Every hire bends the trajectory. See your team the way you see your metrics.
Know who's carrying the company and who needs you this week without waiting for review season.
Retire the review cycle nobody believes in. Bring evidence the CEO already trusts.
Real signal on your team, not a form filled out twice a year.
Your data security and compliance are our top priorities
Independently audited under AICPA standards with strong controls across security, availability, confidentiality, and privacy.
Wearable and biometric signals are visible only to the individual never to their manager, never to the org. Your employer sees team-level work signals; you see you. And no customer data is ever used for AI training.
We track real work behavior across comms, execution, and decisions. reducing bias for objective insight.
That's the right question and the reason we built Hatchproof the way we did. Work signals come from systems your team already uses, aligned to the EU AI Act. Biometric data belongs to the individual alone and is never visible to their manager or the org. Hatchproof surfaces patterns to leaders; it never rates, ranks publicly, or decides. Most teams' reaction to catching a struggling teammate 60 days early isn't "Big Brother" it's "why didn't we see this sooner?
Hatchproof measures performance by observing real work behavior, not self reports or manager opinion. We analyze patterns across communication, execution, collaboration, and decision making and map them to role expectations and team context. Because the system is behavior based, not sentiment based, it reduces common performance bias like recency effects, favoritism, and narrative spin. The result is a clearer, more objective view of who is performing, who is drifting, and where intervention actually helps.
Yes. Hatchproof is SOC 2 compliant and built with enterprise grade security from day one. We do not train models on your private company data. Data is encrypted in transit and at rest, access is tightly controlled, and customers retain ownership of their data at all times. Our systems are designed to surface performance insight, not expose sensitive content.
No customer data is ever used for AI training, and your organization retains full ownership of its data.
Hatchproof uses AI to assist decision making, not replace it. We leverage OpenAI’s models to analyze patterns and generate insights, but final decisions always remain with human leaders. Our AI is constrained, explainable, and purpose built for performance and alignment. It is not a black box scoring people in isolation. Think of Hatchproof as an intelligence layer that helps leaders see clearly, earlier, and with context.
Hatchproof is built for founders and CEOs running lean and scaling teams — typically under 200 people, where every hire matters and you don't have full HR infrastructure to catch the signal for you. If you're the person making the call on who to hire, who to promote, and who to let go, Hatchproof gives you the data to make those calls with signal, not vibes. We also serve CHROs and People leaders at larger companies who need board-ready data on who's actually performing. Same product, different door.
