Power diligent underwriting decisions with speed & reliability.

Bring AI-augmented clarity and granularity
into your risk assessment process.
Underwriter

Turning new data sources into reliable AI-driven reference markers

Open & consent
data sources

Data Sources

Risk models
for underwriters

Augmenting the underwriting practice

Unlock actuarially validated predictive insights from new data

Provide a smart and simple pre-purchase experience. Help customers easily and quickly understand the big picture of their health risks and related expenses.
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Increase underwriting approval rates without raising risk

Stratify risks with more granularity in order to identify more low-risk customers across groups.
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Save time in decision-making with the aid of machine learning

Have artificial intelligence automate standard decisions with reliability, and augment high-level analysis for more complex decisions with greater predictive insights.
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+80%

decision alignment between Lydia AI and human underwriters
Using machine learning models to accelerate underwriting decisions is a major trend; however, there has not been an established industry best-standard practice for how to validate its use in underwriting. [Lydia and Taiwan Life] worked together to develop a methodology to translate machine learning predictive output results into data-driven reference markers that are compatible with use by actuaries and underwriters.
Max Ang
Max Ang
Celent APAC Insurance Technology Research Leader

80%

of cases being underwritten and completed in less than 7 days with Lydia
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See how Lydia AI powers underwriting decisions

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And get ready to reimagine your business with Lydia

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