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NeuralCS
Carrier
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.
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Trust & Governance

AI-powered glass claim intelligence trusted by leading U.S. carriers, ROLAGS-compliant, automated, and fully explainable from first notice through resolution.

The framework

Built for regulated insurance institutions. Not retrofitted.

Security decisions are made at the platform level. Encrypted data, role-based access, and a defined incident response keep the environment procurement ready.

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Clear, evidence-backed recommendations on every claim

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Reasoning shown alongside each suggestion

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Faster assessment on routine claims

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More time for complex cases that need your judgement

AI / Platform
Responsibility

Encryption

Compliant

Access control

Role-based · tiered

Pen testing

Compliant

AI Governance

Compliant

Current status

Standards & credentials.

ROLAGS

ANSI Glass Standards

Every assessment follows the Repair of Laminated Automotive Glass Standard - the industry benchmark for glass claims.

Active on every claim

U.S. Patent 12,400,273

Patented Claims Methods

Methods and systems for submitting and processing insurance claims for damaged motor vehicle glass. Additional patents pending.

Issued

Responsible AI

Five commitments. Non-negotiable.

Professional using a phone

1. Transparency over black boxes

Every recommendation is backed by visible evidence so carriers can understand what the system saw and why it surfaced a result.

2. Humans decide outcomes

AI supports the claim flow, but final judgement, escalation, and approval remain with the right human operators.

3. Consistency and fairness

The same review standard can be applied claim by claim, across geography, adjuster, and volume.

4. Clear accountability

Documented ownership across controls, decisions, and reviews makes operational oversight easier to maintain.

5. Continuously improved

The system evolves through operational learning while staying grounded in governance and reviewable controls.

AI in claims should make things faster, fairer, and more transparent for carriers, adjusters, and the policyholders at the end of every claim

Trust workflow detail
Trust and governance review
Our promise
To always document what our AI does and whyTo tell carriers when models change and howTo monitor fairness as actively as we monitor accuracyNever to deploy a model we cannot explainNever remove human oversight from consequential decisions
FAQ'S

Questions around trust, security, and governance.

Common questions from carriers and teams evaluating how NeuralCS handles oversight, security posture, and evidence-backed decision workflows.

How are decisions kept explainable and reviewable?

NeuralCS keeps the supporting evidence, workflow state, and recommendation trail visible so teams can understand how a claim moved forward and where human review stepped in.

Can carriers request security and control documentation?

Yes. Security posture, control summaries, and current program status can be shared during evaluation so enterprise teams can review the environment with the right context.

How does human oversight work in the workflow?

Claims teams remain in control. The platform helps surface evidence, next steps, and recommendations, while reviewers can intervene, validate, or override when needed.

What standards shape the way glass claims are handled?

The workflow is designed around the standards and operational requirements carriers already expect, including ROLAGS-aligned handling and documented process controls.

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Questions on governance or security?

Talk to our team about which workflows and use cases are the right fit for your operation.

Contact us