NeuralCS
SolutionsUse cases across the claims lifecycle.OutcomesOperational proof and measured impact.TrustSecurity, governance, and oversight.CompanyLeadership, mission, and focus areas.ContactTalk directly with the team.

Platform for carriers

What it does

AI that reads the damage and delivers the disposition.

The AI analyzes the damage, selects the correct parts, and dispositions the claim, indicating repair-or-replace and flagging ADAS calibration requirements.

Routine claims can be completed in minutes without manual review; exceptions can be routed for human review.

Carrier claims workflow preview
Carrier workflow detail
Carrier claims team
Carrier use cases
Claim intakeDamage reviewGlass validationADAS calibrationReporting
Business lines

Where NeuralCS operates

NeuralCS can operate in any market worldwide

Vehicle overview from above
Fleet and partners programme preview
Glass vendor and repair workflow preview
Policy holder photographing vehicle damage
Business applications

Six applications across the claim lifecycle.

Claim Processing + Validation

Accurate loss reporting. 24/7 claim execution. Validates and dispositions in minutes instead of hours or days.

Damage Assessment

Annotates damage location, identifies break type, measures size, labels number of breaks, to ROLAGS standard.

ADAS calibration detection

Automatically flags when ADAS calibration is required after replacement, protecting carriers from liability and policyholders from unsafe repairs.

Part Selection + Build Sheet

Integrated build sheet data selects the right parts every time, achieving accurate part matching and validating ADAS calibration requirements upfront.

Data Access + Reporting

Real-time reporting with tiered access for insurance carriers and vehicle owners. Full claim information, live status, and operational visibility.

Fraud + Anomaly Detection

Surface early signals of inconsistent or suspicious claims before they reach the adjuster queue, reducing exposure without slowing down legitimate claims.

How it works

From photo submission to settled claim in minutes.

01

Submit

The policyholder submits photos through their carrier's existing intake channel or the NCS app.

Full windshield photo

Damage location with indicator

Currency placed next to damage

Vehicle logo and rear photos

Policyholder submitting claim photos
02

Analyze

NeuralCS AI reads the photos against ROLAGS standards. Damage is annotated, classified, and measured automatically.

Break type identified

Size and location mapped

Number of breaks labelled

ADAS calibration triggered if needed

DPVA in addition to ADAS calibration

Damage analysis workflow
03

Disposition

The platform selects the correct parts from build sheet data and delivers a repair-or-replace decision with full reasoning.

Repair-or-replace determination

Wear and tear

Parts selected and validated

ADAS calibration confirmed

Claim dispositioned to carrier

Glass claim disposition workflow
04

Settle

Repair network gets authorization to proceed with the appropriate repair.

Full decision audit trail

Vendor access to parts data

Real-time status reporting

Global glass claim handling

Claim settled workflow
Why NeuralCS

How NeuralCS compare to manual and legacy processes.

Capability
NeuralCS
Manual / Legacy
ROLAGS-standard damage assessment

ANSI-industry standard compliance

Built-in

Varies by adjuster

Claim disposition time

From photo submission to decision

Minutes

Hours to days

Repair-or-replace decisioning

Photo-based damage review aligned to carrier rules

Automated

Adjuster-dependent

Carrier guideline enforcement

Applies program rules consistently across claims

Built-in

Inconsistent

Photo documentation review

Validates submitted damage photos before disposition

Automated

Manual review required

24/7 availability

Claim processing around the clock

Always on

Business hours only

Full decision audit trail

Traceable, reviewable, documented

Every claim

Inconsistent

Tiered carrier & vendor data access

Real-time reporting by stakeholder

Built-in

Limited or available

FAQ'S

Questions from carriers.

Common questions from insurance carriers and glass vendors evaluating NeuralCS.

How does NCS fit into our existing claims process?

NCS adds a digital inspection and decisioning step to the glass-claims workflow. The insured or glass vendor submits a guided series of photos, and NCS evaluates the damage, determines the work needed, supports part selection, and indicates whether ADAS calibration is required. Exact system handoffs, integrations, and routing rules are established during implementation.

How does NCS use ROLAGS in claim decisions?

For U.S. claims, NCS uses ROLAGS-based criteria to validate windshield damage and support a consistent repair-or-replace disposition. ROLAGS provides industry-consensus terminology, definitions, processes, and recommended procedures for laminated automotive-glass repair.

What damage information does the NCS AI evaluate?

NCS identifies the location, type, size, and number of breaks shown in the submitted images. These standardized damage attributes help create more consistent loss documentation and support the repair-or-replace decision.

How does NCS determine whether a windshield should be repaired or replaced?

NCS analyzes the submitted photo evidence and, for U.S. claims, applies ROLAGS-based decisioning to determine the appropriate work. This gives the carrier a documented assessment based on the visible damage rather than relying only on a verbal description.

How quickly does NCS assess a claim?

NCS states that it can validate and disposition glass claims in minutes rather than hours or days, with 24/7 claim execution. Any guaranteed processing time, availability, or support commitment should be aligned with the carrier's contracted service-level agreement.

What does the policyholder need to submit?

The guided inspection walks the policyholder through the required photo capture. This can include the full windshield, close-up images of each damaged area, damage-location indicators, a standard-size reference such as currency, and the windshield logo. These images also provide proof-of-loss documentation for the claim.

How accurate is the AI assessment?

NCS standardizes image capture and evaluates specific attributes such as damage location, type, size, and count. Because performance can vary with photo quality and claim conditions, carriers should report accuracy using validated pilot results, such as agreement with expert review, image-rejection rate, and repair-or-replace accuracy.

How does NCS support proof-of-loss documentation?

The NCS inspection captures the photos needed to document the reported glass damage. Its guided process helps the policyholder provide clear, standardized evidence that can be associated with the claim record and reviewed by the carrier.