US life insurance and annuity technology provider Zinnia has collaborated with Snowflake to integrate its insurance platform with Snowflake’s AI data cloud.

As part of the arrangement, Zinnia has deployed Snowflake’s data platform across its operations to underpin machine learning (ML) and AI-driven applications.

Zinnia will act as an implementation partner for insurers looking to adopt Snowflake’s AI data cloud, combining its insurance sector expertise with Snowflake’s data and AI platform to support enterprise-level security and scalability.

Zinnia said the integration is designed to give insurers access to “real-time” business metrics, analytical tools and a cloud-based data architecture to support ongoing digital transformation efforts.

Zinnia chief data officer Dan Gremmell said: “Insurance companies are sitting on vast amounts of data but many struggle to unlock its full potential. Our work with Snowflake changes that equation entirely.

“We are delivering day-one implementation of advanced analytics and AI capabilities that would typically take months or years to deploy, ensuring our clients don’t just receive data – they transform it into their competitive advantage.”

The combined platform is intended to support predictive analytics, risk modelling and automated decision-making through embedded ML and AI capabilities.

It also aims to enable the development of self-hosted applications using Streamlit, scalable cloud data warehousing, and the application of generative AI tools across customer service and operational workflows.

Security Benefit, a Zinnia client, is already using the data and AI capabilities delivered through the integration.

Security Benefit CTO Sean O’Donoghue said: “Snowflake’s data sharing paradigm allows Security Benefit and Zinnia to securely exchange vast amounts of information on demand.

“This empowers us to analyse data, generate insights and make faster, more informed decisions.”