the gap

Technology that closes gaps

Not creates them.

Our Purpose

Making the Invisible Visible

The most important things in work are the hardest to see.

Can this person actually do the job? Is this candidate ready to move? Is our team compliant? Did that training actually stick?

Today, we answer these questions with gut feeling, paperwork, and hope. Certificates that prove attendance, not ability. Interviews that test performance, not fit. Audits that check boxes, not reality.

We build AI that observes real work to surface real answers. Not to watch people — but to see what matters.

What stays invisible today

[ X-Ray scan to reveal ]

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Real skillsHidden behind certificates and resumes
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Candidate readinessGuessed from LinkedIn updates
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Actual complianceChecked annually, forgotten daily
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Trade competencyValidated after years, not months
Our Mission

Close the Gap Before It Becomes a Divide

The Reality

AI is splitting the world in two.

Winners vs. Losers

"Companies with data teams, compliance departments, and training budgets are pulling ahead. Everyone else is falling behind — guessing at skills, drowning in paperwork, hiring blind."

We exist to close that gap. To give a 50-person manufacturer the same intelligence as a Fortune 500. To make a welder's expertise as visible as a developer's GitHub. To let recruiters see candidate readiness, not just resumes. To turn compliance from a legal burden into background infrastructure.

The gap between AI winners and losers is growing. We're building the bridge.

Building the Bridge
Our Vision

An Economy Where AI Works For Everyone

Where skills are visible — whether you write code or weld steel.

Where recruiters see who's actually ready to move, not just who updated their LinkedIn.

Where compliance happens automatically, so teams can focus on building.

Where training happens in the moment you need it, and proves you can apply it.

Where your data helps you grow — and stays yours.

Not just for companies that can afford consultants. For everyone.

What We Stand For

Dutch Directness

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Evidence Over Opinion

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Privacy as Foundation

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The Hard Cases

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One principle. Four applications.

"AI that observes to understand — not to surveil, but to surface what matters for better human decisions."