Fraud Detection
Fraud detection uses rules, data analysis, and sometimes artificial intelligence to identify claims, images, documents, or behavior that may require additional investigation.
- Computer Vision
- Insurance
Explore by Topic
News, research, companies, and AI tools connected to Insurance.
Fraud detection uses rules, data analysis, and sometimes artificial intelligence to identify claims, images, documents, or behavior that may require additional investigation.
Human-in-the-loop describes a process in which a person reviews, corrects, approves, or otherwise participates in decisions made or supported by an automated system.
Machine learning is a type of artificial intelligence in which a computer model learns patterns from examples or data instead of relying only on rules written explicitly by a programmer.
Natural language processing is a field of artificial intelligence focused on enabling computers to analyze, understand, and generate human language.
Inspektlabs provides AI-assisted vehicle inspections using photographs and 360-degree video. Its technology evaluates image quality, identifies visible damage, and generates structured inspection information for review. The platform serves insurance, rental, fleet, remarketing, and repair-related applications. Its workflows can also help organizations review claims and check submitted visual evidence for possible inconsistencies.
Ravin Inspect is a web-based vehicle inspection application that guides users through capturing a vehicle walkaround. Its computer-vision technology assists with image collection and identifies visible damage and vehicle information. Inspection results can support insurance, fleet, rental, remarketing, and repair workflows. Ravin also offers integration options for organizations that want to incorporate inspection capabilities into…
GeniusINSPECT uses artificial intelligence to analyze photographs and video collected through mobile devices, fixed cameras, or integrated software. It can identify visible vehicle damage and organize findings into structured inspection information. The platform is designed for claims, vehicle inspections, assessments, and other workflows where organizations need consistent visual documentation and decision-support data.
Mitchell Intelligent Estimating uses vehicle photographs and claim information to help identify damaged components. Its computer-vision technology maps detected damage to component-level operations that can be presented inside Mitchell Cloud Estimating. The system is intended to accelerate the creation of initial estimates while allowing estimators and claims professionals to review and complete the appraisal.
CCC Estimate-STP is designed to support straight-through processing of qualifying auto insurance claims. It uses artificial intelligence, insurer-specific rules, and information from CCC’s network to initiate and populate a detailed, line-level repair estimate. Insurers configure the conditions under which the system can produce an estimate automatically. Claims that do not meet those conditions can be…