List of BigHub AI Claims Processing Customers
Prague, 110 00,
Czech Republic
Since 2010, our global team of researchers has been studying BigHub AI Claims Processing customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased BigHub AI Claims Processing for Insurance Claims Management from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using BigHub AI Claims Processing for Insurance Claims Management include: UNIQA Insurance Czech, a Czech Republic based Insurance organisation with 1000 employees and revenues of $300.0 million, UNIQA poistovna, a.s. Slovakia, a Slovakia based Insurance organisation with 500 employees and revenues of $150.0 million and many others.
Contact us if you need a completed and verified list of companies using BigHub AI Claims Processing, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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UNIQA Insurance Czech | Insurance | 1000 | $300M | Czech Republic | BigHub | BigHub AI Claims Processing | Insurance Claims Management | 2025 | n/a |
In 2025, UNIQA Insurance Czech deployed BigHub AI Claims Processing to operationalize CASCO coverage verification within its claims organisation, using an Insurance Claims Management application to accelerate document-driven decisions. The deployment focused on production usage rather than a narrow pilot, embedding the BigHub AI Claims Processing capability into the everyday claims preparation workflow for CASCO motor claims.
The implementation uses a multi-agent AI architecture that automates the preparation phase of coverage verification. BigHub AI Claims Processing collects and classifies incoming documents, identifies the valid insurance contract and its correct version, extracts policy terms and claim evidence, compares the reported event to covered risks, exclusions and endorsements, and produces a structured, traceable recommendation with a confidence score. The solution supports processing of police reports, accident records, repair and rental invoices, vehicle registration certificates, identity documents, powers of attorney, insurance policies and endorsements.
Operationally the system is owned and operated by UNIQA’s claims organisation, where claims experts validate model recommendations and drive workflow redesign. The recommendation outputs are surfaced to claims handlers in advance of manual assessment so human specialists can focus on exceptions and customer communication. The production configuration routes low confidence or potentially non-payable recommendations to manual review rather than applying automatic conclusions, preserving human control over final decisions.
Governance and monitoring were implemented as core features of the rollout. Traceable recommendations allow claims handlers to review source documents and the specific policy terms used in each decision, enabling auditability and challenge. Continuous production monitoring evaluates the model against real claims and real human decisions, and confidence-based routing enforces operational safeguards that prevent uncertain AI outputs from becoming final outcomes.
Results reported in production reflect high accuracy and sustained operational throughput. BigHub AI Claims Processing supports more than 3,500 claims per month and has analyzed over 17,000 cases in live operation, with approximately 98 percent production accuracy, a 92 percent plus success rate in identifying payable claims, 6 percent of cases intentionally routed to manual review, 2 percent of cases requiring later correction, and zero false-positive payout recommendations. UNIQA plans incremental expansion of the BigHub AI Claims Processing capability to additional claim types while maintaining the same business ownership, human oversight and production-grade governance.
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UNIQA poistovna, a.s. Slovakia | Insurance | 500 | $150M | Slovakia | BigHub | BigHub AI Claims Processing | Insurance Claims Management | 2025 | n/a |
In 2025, UNIQA poistovna, a.s. Slovakia deployed BigHub AI Claims Processing as a targeted Insurance Claims Management implementation to accelerate CASCO coverage verification and reduce routine document work in the claims organisation. The project was owned by UNIQA’s claims function, aligning business ownership, claims expertise and production acceptance criteria before broad rollout.
BigHub AI Claims Processing was configured as a multi-agent workflow that automates document collection and classification, policy and contract identification with version matching, information extraction from supporting evidence, and event-to-policy comparison against limits, exclusions and endorsements. The application produces a structured, traceable recommendation paired with a confidence score, enabling claims handlers to review evidence and make the final decision while maintaining auditability and accountability.
The solution ingests and analyzes document types named by UNIQA, including police reports, accident records, repair and rental invoices, vehicle registration certificates, identity documents, powers of attorney, insurance policies and endorsements, and delivers consolidated evidence to the claims handler. The implementation is embedded into UNIQA’s production claims handling workflow and has handled more than 17,000 processed cases and operates at a scale of 3,500 plus claims per month in live operation.
Governance and process redesign were central to the rollout, with claims experts validating recommendations and redesigning the preparation phase to prioritize human oversight. Operational controls include confidence-based routing so low-confidence or potentially non-payable cases are escalated for manual review, traceable recommendations that expose supporting documents and terms used for the assessment, and continuous production monitoring of model outputs against real claims decisions.
Results reported in production are explicit and tied to the implementation, including approximately 98 percent production accuracy, a 92 percent plus success rate in identifying payable claims, deliberate escalation of about 6 percent of cases to manual review, only 2 percent of initially non-payable claims later corrected, and zero false-positive payout recommendations across more than 17,000 cases. UNIQA intends to extend BigHub AI Claims Processing to additional claim types and other stages of claims preparation following the same principles of business ownership, human oversight and production-grade governance.
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