Api & AI structured data ready to use
Data structured and enriched since 2010
Use our error-free data, which has been processed for ages
One software solution suitable for all insurance companies
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Database features
In comparisons, customers’ specific property and vehicle data is integrated from public databases, providing an accurate picture of the customer’s risk.
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Claims illustrations
Images of claims examples where the company adds value, making things less complicated for the customer and advisers during the consultation itself.
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Open Finance & FiDA
Bring your product benefits into the open insurance ecosystem and be ready for the new regulations with enriched data.
In real time we produce and deliver the data accuracy that convinces customers to choose or stay with you
BOOK DEMOReal-Time Data. Instant Results. Effortless Workflow.
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New Sales & Retention
Enter the customer’s registration number and address to instantly see where your solution better matches their risks and needs.
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Sales Materials
Include a customer-friendly value link with text and images that highlights your advantages and improves conversion.
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Product Development
Compare products and competitors in seconds to accelerate product development and optimisation.
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Open Insurance
Customers upload their policies. Our dropbox technology automatically reads, analyses and compares them to reveal where your solution delivers the greatest value.
Watch the full video here
The full video shows and explain how our system can give you the advantage.
AI in insurance requires more than good prompts
Your AI is only as reliable as the data it is built on. In the insurance industry, misinterpreted terms can lead to legal issues, incorrect advice, compensation claims, and loss of customer trust.
Unstructured or insufficiently quality-assured insurance data increases the risk of:
- Error in AI-generated interpretations
- Lack of compliance with IDD, Solvency II, and FiDA
- Misleading customers and financial liability
- Loss of credibility and brand damage
- Errors in handling historical policies and terms