The context
The situation
Vehicle claims depend on fast, consistent damage assessment. Wenn needed an AI system accurate enough for insurers to trust in production, not just in a pilot.
The challenge
What stood in the way
- Slow claims cycles. Every claim waited on manual review before it could move forward.
- Heavy reliance on human inspectors. Assessment capacity was capped by inspector headcount.
- Little automation in damage classification. Damage had to be categorised by hand for each claim.
- Inconsistent photo-based evaluations. Different reviewers reached different conclusions from the same images.
The solution
What Veracity built
Veracity built a computer vision platform designed for scalable inference and production use. It:
- Detects vehicle parts and damage areas directly from photos
- Classifies damage into structured data for claims processing
- Integrates with insurance and claims management systems
- Supports secure enterprise deployment for insurers
The outcome
Results in production
Ranked 3rd globally
for vehicle parts detection and inspection performance.
Less manual inspection
as routine assessments moved to the AI pipeline.
Automated damage assessment
built into digital claims workflows.
Built to scale
across insurers and InsurTech operators, with Wenn achieving $1M to $36M valuation growth over five years.
