Claims processing that doesn't wait on a human to look at a photo
Cycle time is lost in assessment queues, manual routing, and rework from inconsistent decisions. We built the computer vision system behind the leading US glass claims processor — 75% faster processing at 99.2% assessment accuracy — and we start by finding where your cycle time actually goes.
Where claims operations lose cycle time
If several of these are familiar, the bottleneck is usually upstream of where it hurts.
- Damage assessment queued behind adjuster availability rather than volume
- Inconsistent assessments between adjusters driving rework and leakage
- FNOL data re-entered across intake, assessment, and settlement systems
- Straightforward claims consuming the same handling time as complex ones
- Fraud and anomaly signals surfacing after settlement rather than before
- Status opaque to the policyholder, generating avoidable inbound contact
What we build for claims operations
Computer vision damage assessment
Automated assessment from photographic evidence, with confidence thresholds that route uncertain cases to a human rather than guessing. The approach behind our patented vision work.
Automated triage and routing
Claims classified and routed on complexity at intake, so straightforward cases clear quickly and adjuster time concentrates where judgement is genuinely required.
Claims systems integration
Intake, policy administration, assessment, and settlement connected through documented APIs so claim data is captured once and stays consistent end to end.
Anomaly and leakage detection
Models that flag irregular patterns before settlement rather than in retrospective audit, surfaced into the tools your team already works in.
Policyholder status automation
Automated status communication driven by real claim state, reducing inbound status contact without adding headcount.
Audit trail and compliance
Every automated decision logged with its inputs and confidence, so regulatory review and internal audit have a defensible record.
Proof, not positioning
Systems we designed, built, and put into production.
Frequently Asked Questions
How accurate is automated damage assessment in practice?
The system Nutron built for the leading US glass claims processor sustains 99.2% accuracy in production while cutting processing time by 75%. Accuracy that holds up depends on confidence thresholds — uncertain cases route to a human rather than being forced to a decision.
Does this replace our adjusters?
No. It removes the straightforward volume that consumes adjuster time without needing judgement, so experienced people concentrate on complex and disputed claims. Escalation paths are part of the design, not an afterthought.
Can this work with our existing claims platform?
Yes. Nutron integrates through documented APIs into the policy administration and claims systems already in place rather than requiring replacement — assessment and routing sit alongside your platform.
How do you handle regulatory scrutiny of automated decisions?
Every automated decision is logged with its inputs, model version, and confidence score, giving regulators and internal audit a reconstructable record. Systems are designed for that from the start rather than retrofitted.
What lines of insurance have you worked in?
Nutron's published production experience is in vehicle glass claims, where we hold patented vision IP. The underlying pattern — evidence capture, automated assessment, confidence-based routing — transfers to other property and vehicle lines, and the audit establishes fit before anything is built.
Start with the diagnosis
Two weeks, fixed fee, and a blueprint you own — whether or not we build it.