The Moment
"The phone rang at 7:30 AM on a Tuesday in October 2024. Our AI engineer's voice was different — excited, almost breathless. 'The pattern recognition accuracy just hit 94% on the test fleet data. This isn't incremental improvement anymore. This is… different.'"
For the team at FLINZ, this moment had been years in the making. Not just the technical breakthrough, but the entire philosophy behind what they were building.
The first revolution: UBench
Ten years ago, Peter Verbraeken faced a problem that would change everything. As a damage assessor, he was drowning in paperwork, spending more time on administration than actually helping clients. The insurance industry's processes were stuck in the analog age.
"I kept thinking: there has to be a better way. Not just better software, but a fundamentally different approach to how we handle damage claims."
The result was UBench — a platform that revolutionized damage assessment in Belgium. What started as one assessor's frustration became the tool that transformed an entire industry. By 2024, over 400 independent damage assessors were using UBench daily, processing thousands of claims.
But Peter saw something others missed.
The pattern nobody else could see
"We had all this data," Peter explains. "Every damage report, every repair cost, every timeline. But we were only using it for individual cases. The real value was in what the data could tell us about patterns, about prevention, about the future."
This insight became FLINZ's founding principle: collective intelligence. Not just managing damage after it happens, but learning from every incident to prevent the next one.
In 2023, Peter met Willem de Keijzer and Jacob Wagemakers. Willem brought decades of fleet management expertise. Jacob understood the technical architecture needed to turn vision into reality. Together, they saw what the market didn't: AI wasn't just another tool — it was the missing piece that could transform insurance from reactive to predictive.
Building the intelligence grid
The FLINZ team didn't want to build another platform. They wanted to build an intelligence grid — a system where every damage incident, every repair, every claim taught the network something new.
"Think about it," Willem explains. "If one fleet experiences a specific type of damage, why should every other fleet have to learn that lesson the hard way? What if the intelligence was shared, anonymized, and instantly available?"
The technical challenges were immense:
- How do you train AI on diverse fleet data while protecting proprietary information?
- How do you make predictions accurate enough to bet business decisions on?
- How do you ensure the system gets smarter, not just bigger?
For 18 months, the team tested, failed, adjusted, and tested again. They worked with pilot fleets, analyzed thousands of damage patterns, and refined their algorithms through hundreds of iterations.
The breakthrough
That October morning call wasn't just about hitting 94% accuracy. It was about crossing a threshold where AI predictions became more reliable than traditional risk models.
The system could now:
- Predict which vehicles in a fleet were most likely to experience damage in the next quarter
- Identify cost patterns that traditional models missed
- Suggest preventive measures with measurable ROI
- Learn from every new damage report, making the entire network smarter in real-time
"This is what we've been building toward. Not just better claims processing, but actual intelligence that prevents claims from happening in the first place."
Why this changes everything for fleet insurance
Traditional fleet insurance operates on historical data and educated guesses. FLINZ operates on collective intelligence and predictive accuracy.
For fleets
Instead of reacting to damage, fleets can prevent it. Vehicle-level predictions replace broad risk categories.
For insurers
Transitioning from loss management to risk prevention. Dynamic pricing based on actual risk reduction, not static premiums.
For the industry
A fundamental shift in how risk is understood and priced — collective intelligence that benefits everyone, not siloed data.
The second revolution begins
Peter's experience creating UBench now informs FLINZ development. Every feature is tested with real users. Every algorithm is validated against real fleet data. Every improvement is measured against one question: does this make our clients more successful?
"UBench taught me that technology alone isn't enough. You need to understand the people using it, the problems they face every day, the pressures they're under. FLINZ isn't just smarter technology — it's technology that understands the business."
The platform launched in early 2024 with three pilot fleets. By mid-2025, it's processing damage data from over 50,000 vehicles across multiple countries. The AI continues learning, the predictions get more accurate, and the network effect grows stronger.
What comes next
The team at FLINZ isn't satisfied with 94% accuracy. They're already testing new algorithms, exploring additional data sources, and developing features that push the boundaries of what's possible in fleet intelligence.
But they're also careful about one thing: staying true to their core philosophy.
"Sustainably Less isn't just marketing. It's how we build. Less complexity, more clarity. Less bureaucracy, more action. Less cost, more value."
The moment they've been building toward isn't just a technical achievement. It's the beginning of a new era in fleet insurance — one where collective intelligence, predictive accuracy, and human expertise combine to create something genuinely transformative.
As Peter puts it: "UBench changed how damage gets assessed. FLINZ changes whether damage happens at all. That's the revolution we're building."
The phone call that October morning wasn't an ending. It was an invitation — to every fleet manager, every insurer, every damage assessor who's ready to stop managing damage and start preventing it.
The moment is here. The question is: are you ready to join it?