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Indico Data's Intelligent Intake solution enables the insurance
industry to streamline claims and underwriting workflows.
Empower SMEs to make faster, more accurate decisions.
Optimize loss ratios, customer satisfaction, and premium growth.
Indico Data featured in Gartner's Hype Cycle for Digitally Engineered Underwriting and Intelligent Document Processing (IDP) within Digital Life and P&C Insurance, 2023.
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Automate submissions intake to Increase underwriting capacity, improve your loss ratio and drive net new premium growth.
MoreAutomate policy servicing to decrease time spent on admin tasks, prioritize high value policy changes and improve the broker relationship.
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Legacy intake solutions have forced the insurance industry to choose between speed and accuracy, weighing risk versus revenue. With Indico Data, now you don’t have to compromise. Our award-winning artificial intelligence solution gives commercial insurers the best of all worlds, enabling data-driven decision-making, with unparalleled speed, at enterprise scale.
See how it worksIndico Data has pioneered the use of multimodal LLMs in the enterprise. We were the first company to deploy a secure LLM behind an enterprise firewall and have a 97% success rate of getting customers into production.
With integrated model performance metrics and the industry's first model explainability suite, your models are safe against bias, overfitting and hallucinations.
Indico’s comprehensive security approach including certifications and private tenant deployment with customer data encryption ensure no data retention or leakage by design.
IntakeGPT™ scales horizontally across use cases and vertically across intake volumes while delivering a 99.99 SLA for high uptime requirements.
Indico’s unique technology advantage addressing unstructured data combined with their business-first application experience enables us to solve a breadth of use cases that we previously had been unable to automate.
We’ve identified almost $100 million in hard value, hard dollar savings, that we can quite easily achieve over the next three to four years using unstructured data digitization and analytics tools. That just headlines how impactful this is.
In the context of unstructured data, the 'learnability' part of the solution is one of the most important features, otherwise, we are back to the old template-based approach because you have to go back and retrain for each change.
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