Disclosure: This is a client announcement from Valantor. Product capabilities, performance figures, customer adoption metrics, and other claims in this article are based on information supplied by Valantor and have not been independently verified by CyberTech Intelligence.

Valantor, an enterprise visual intelligence company, has announced the launch of FraudX, an AI-powered investigation platform designed to help insurance carriers, third-party administrators (TPAs), self-insured organizations, and insurance defense law firms analyze complex claims and investigate potential fraud.

According to Valantor, FraudX can help investigation teams analyze complex insurance claims up to 40 times faster than traditional manual review. The company says the platform is initially focused on construction liability, property, and general liability claims, with an emphasis on helping organizations analyze sensitive claim information while maintaining control over security, governance, and compliance.

FraudX is built on Valantor’s Enterprise Visual Intelligence platform and is powered by EyeLevel’s GroundX technology. Valantor says the platform can analyze thousands of pages of claim documentation, including medical records, billing files, depositions, investigator notes, surveillance reports, photographs, site reports, ISO reports, recorded statements, and legal filings.

The platform is designed to help investigators identify inconsistencies, build claim and medical chronologies, examine relationships among entities, and surface potential fraud indicators. Findings are supported by citations to the underlying claim documentation, according to Valantor.

“Insurance investigations are a data problem as much as an investigative one,” said Neil Katz, Chief Product Officer at Valantor. “Every claim contains thousands of pages of evidence, but investigators simply don't have the time to manually connect every fact, relationship, and inconsistency. FraudX helps them spend less time searching for information and more time making informed investigative decisions.”

AI-Assisted Claims Investigation

Insurance investigations can involve extensive collections of structured and unstructured information distributed across medical files, legal documents, billing records, photographs, statements, and investigative reports.

FraudX is intended to help Special Investigation Units (SIUs), claims professionals, and defense counsel search and analyze this information using natural-language questions.

Valantor says investigators can use FraudX to:

  • Analyze large claim files across multiple document and media formats.

  • Generate medical and claim chronologies.

  • Identify inconsistencies across records and statements.

  • Surface potential fraud indicators supported by documented evidence.

  • Explore relationships among claimants, healthcare providers, attorneys, and other entities.

  • Trace findings back to citations within original claim documentation.

Valantor positions the platform as an investigative support system rather than a replacement for professional judgment. The technology provides investigators with context and supporting evidence, while experienced investigators remain responsible for assessing the significance of findings and making investigative decisions.

Security, Governance and Regulated-Industry Deployment

The use of AI in insurance investigations creates significant requirements around data security, access control, evidence integrity, governance, and regulatory compliance, particularly when platforms process sensitive medical, legal and personally identifiable information.

Valantor says FraudX is designed for deployment across regulated environments and can be implemented through cloud, private-cloud, virtual private cloud (VPC), on-premises, and fully air-gapped architectures.

This deployment flexibility is intended to give organizations greater control over where sensitive claims information is processed and how AI systems are integrated into existing security and governance frameworks.

For organizations deploying AI in insurance and other regulated sectors, areas such as model governance, human oversight, data protection, auditability, and evidence provenance remain important considerations when incorporating AI-generated findings into investigative workflows.

Valantor Reports Early FraudX Adoption

Valantor says FraudX is already being used in production and that customers have committed more than 8,000 insurance claims to the platform.

That adoption figure, like the company’s reported performance improvements, is a Valantor-supplied metric and has not been independently verified by CyberTech Intelligence.

“FraudX is an absolute game changer for how the industry fights insurance fraud with AI,” said Kirk Willis, CEO of The Willis Law Group. “Its speed, accuracy, and ability to uncover hidden patterns set a new standard for modern investigations.”

The launch reflects the broader adoption of artificial intelligence for analyzing high-volume, unstructured information in industries where security, governance, auditability, and human decision-making remain critical.

Learn more about FraudX and request a demo

Source: Valantor — FraudX launch announcement, August 11, 2026.