Overview
Whooster, Inc. is an AI-driven data analytics and intelligence company that provides investigative data solutions for law enforcement, government agencies, and private sector clients including insurance companies, financial institutions, and legal firms. The company's proprietary data fusion technology integrates public and private data sources to deliver real-time, actionable intelligence for fraud detection, risk management, and identity verification.
Whooster operates through two divisions: the Whooster Data Solutions division, which provides real-time delivery of accurate current and historical U.S. and international person, phone, criminal, court, asset, business, and license data; and the OWL Intelligence Platform, a SaaS and enterprise software platform that integrates, links, analyzes, and delivers data from multiple sources. In July 2025, Whooster expanded the OWL Intelligence Platform into the insurance industry and corporate security sector.
The company serves a broad range of industries but has developed specific solutions for insurance carriers and financial services firms, helping them with fraud investigations, user onboarding, application verification, and risk management through its patented algorithms and advanced data fusion capabilities.
Products & Services
Whooster Data Solutions
Real-time investigative data platform providing access to billions of public and proprietary records for identity verification, fraud detection, and risk assessment.
Key Features
- Real-time person, phone, criminal, court, asset, business, and license data lookup
- Patented data fusion algorithms that discover non-obvious links between entities
- Multiple delivery methods: web, API, SMS/text, batch, and direct connect
- Historical and current U.S. and international data coverage
Target Users: Insurance claims investigators, SIU teams, underwriters, compliance officers
OWL Intelligence Platform
AI-powered unified data analytics platform that integrates open-source intelligence (OSINT) with private data sources for comprehensive investigative analysis.
Key Features
- OWLgorithms AI technology with anomaly detection, multi-attribute risk scoring, and predictive fraud modeling
- Intelligent Process Automation (IPA) for streamlined investigations
- Multi-source data integration and visualization
- Case management and record management capabilities
- CJIS, NIST 800-53, NIST 800-218, and ISO 27001 compliant
Target Users: Insurance fraud investigators, corporate security teams, risk analysts
Insurance-Specific Solutions
Dedicated tools for the insurance industry focusing on fraud prevention, claims investigation, and policyholder verification.
Key Features
- Enhanced risk analysis and AI-driven fraud prevention
- Claims investigator tools for locating people via phone, address, social media, and known associates
- Application verification and onboarding data validation
- Predictive fraud modeling and pattern detection
- Regulatory compliance support (GDPR, HIPAA)
Target Users: Insurance carriers, claims investigators, SIU teams
Data-as-a-Service (DaaS) Integration
Direct integration of the Whooster Data Fusion Engine into existing enterprise software systems.
Key Features
- API-based access to Whooster real-time investigative data
- Whooster Direct Connect for on-demand data delivery
- Batch processing for high-volume data operations
- Integration into proprietary carrier and TPA systems
Target Users: IT teams, software vendors, platform integrators
At a Glance
- Founded
- 2013
- Headquarters
- Buda, Texas
- Employees
- 51-200
- Funding
- Bootstrapped
Category & Focus
- Category
- Data & Analytics
- Subcategories
- Fraud detection data enrichment identity verification risk scoring investigative analytics
- Insurance Verticals
- P&C Commercial P&C Personal Workers Compensation Specialty/E&S
- Target Customers
- Carriers, MGAs/MGUs, TPAs
Customers
- Law enforcement agencies across the United States
- Federal government agencies (SBIR contract with Air Force Research Laboratory)
- San Diego Police Department (surveillance technology user)
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Last updated: 2026-03-25