Claritum is built for P&C and health insurers of all sizes — from regional carriers to multinational enterprise operations. Our platform is particularly suited to insurers processing high volumes of motor, liability, or medical claims where decision quality and speed directly impact profitability. Claims directors, operations leaders, and fraud/SIU teams are the primary users.

Claritum is built for P&C and health insurers of all sizes — from regional carriers to multinational enterprise operations. Our platform is particularly suited to insurers processing high volumes of motor, liability, or medical claims where decision quality and speed directly impact profitability. Claims directors, operations leaders, and fraud/SIU teams are the primary users.

Most pilots are scoped and launched within 2–4 weeks. We define a clear claim type, volume segment, and KPI framework upfront, so results are measurable from day one. There is no need for lengthy integration or infrastructure work to begin validating impact.

Most pilots are scoped and launched within 2–4 weeks. We define a clear claim type, volume segment, and KPI framework upfront, so results are measurable from day one. There is no need for lengthy integration or infrastructure work to begin validating impact.

No. Claritum is designed to work with the raw, unstructured inputs that exist in real claims operations — scanned documents, PDFs, images, accident report forms, medical records, and narrative submissions. Our AI layer handles the parsing, structuring, and normalization automatically.

No. Claritum is designed to work with the raw, unstructured inputs that exist in real claims operations — scanned documents, PDFs, images, accident report forms, medical records, and narrative submissions. Our AI layer handles the parsing, structuring, and normalization automatically.

Yes, and this is the recommended approach. Each of the four intelligence engines — Accident Analysis, Damage Assessment, EAR Analysis, and PHI Analysis — operates independently. You can start with the product most relevant to your current claims challenge, validate the impact, and expand at your own pace.

Yes, and this is the recommended approach. Each of the four intelligence engines — Accident Analysis, Damage Assessment, EAR Analysis, and PHI Analysis — operates independently. You can start with the product most relevant to your current claims challenge, validate the impact, and expand at your own pace.

Claritum is built specifically for enterprise operational realities. Outputs are structured, auditable, and designed for integration into existing claims management systems. The platform supports high-volume processing, role-based access, and consistent output standards required by large claims operations.

Claritum is built specifically for enterprise operational realities. Outputs are structured, auditable, and designed for integration into existing claims management systems. The platform supports high-volume processing, role-based access, and consistent output standards required by large claims operations.

All site copy is centrally managed from a single content file at src/content/siteContent.ts. Product data lives in src/data/products.ts, FAQs in src/data/faqs.ts, and stats in src/data/stats.ts. Any team member can update headlines, CTAs, product descriptions, or toggle sections on/off without touching component code.

All site copy is centrally managed from a single content file at src/content/siteContent.ts. Product data lives in src/data/products.ts, FAQs in src/data/faqs.ts, and stats in src/data/stats.ts. Any team member can update headlines, CTAs, product descriptions, or toggle sections on/off without touching component code.

Claritum does not rely solely on traditional rule-based fraud pattern matching. Instead, our engines surface fraud through structural inconsistency — contradiction between statements, implausible damage patterns, mismatches between policy terms and claimed events, and unsupported medical diagnoses. This produces more defensible, explainable fraud signals for SIU teams.

Claritum does not rely solely on traditional rule-based fraud pattern matching. Instead, our engines surface fraud through structural inconsistency — contradiction between statements, implausible damage patterns, mismatches between policy terms and claimed events, and unsupported medical diagnoses. This produces more defensible, explainable fraud signals for SIU teams.

Claritum delivers outputs via structured API responses, making integration with existing claims management platforms, document management systems, or workflow tools straightforward. We work with your technical team during the pilot phase to define the integration approach that best fits your existing architecture.

Claritum delivers outputs via structured API responses, making integration with existing claims management platforms, document management systems, or workflow tools straightforward. We work with your technical team during the pilot phase to define the integration approach that best fits your existing architecture.