Polaris Teams Up With Incited To Broaden Its Data Science Capabilities.
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Polaris teams up with Incited to broaden its data science capabilities.

Polaris teams up with Incited to broaden its data science capabilities.

London, UK, 24 March 2022: Polaris has announced a new partnership with data science Insurtech, Incited, to broaden its machine learning capabilities offered to its clients.

The new enrichment service is available to Polaris clients using their flagship rating solution, ProductWriter’s Run-Time Environment (RTE), to bring real-time predictive models into its dynamic pricing capabilities.

Incited’s founder and CEO Nick Turner said: “The integration of our machine learning service with ProductWriter is an industry first, demonstrating our joint commitment to enabling advanced features in the Polaris ecosystem. Our long-standing partnership with Polaris continues to deliver value to insurers and brokers. Adding machine learning capabilities to the RTE signals our ongoing commitment to develop and train an increasing number of high-value models for the industry.”

Providing a range of predictive algorithms and data enrichments, Incited’s IMMERSA365 platform brings affordable machine learning to organisations previously excluded by prohibitive costs, a shortage of internal resources or lack of confidence in starting the data science journey. The platform is a cloud-hosted software-as-aservice solution, supporting high-volume, high-throughput workloads and producing hundreds of data points across millions of daily transactions.

Head of ProductWriter Martin Thornhill commented: “We are pleased that Incited has utilised the enrichment capabilities of the ProductWriter rating engine. Their work demonstrates the straightforward approach that our customers can take to obtain the benefits of their IMMERSA365 solution quickly. Machine Learning is growing in popularity, and we are delighted that Incited’s solution complements the distinct options available via ProductWriter.

“We look forward to working with more of our insurer and MGA customers as Machine Learning grows in popularity.”

Notes for the media

For media information and to request images and interviews, contact Dan Fiehn
E: dan.fiehn@incited.com | T: +44(0) 7860 432102

For investor relations, please contact Nick Turner
E: nick.turner@incited.com | T: +44(0) 7714 781478

About Incited

Founded in 2016, Incited is one of the UK’s fastest-growing Insurtechs, providing advanced analytics, data science, machine learning and cloud services to the insurance industry. The company specialises in producing innovative data solutions that integrate with insurance software platforms.

IMMERSA365 has explicitly been designed for use in the Insurance market to enable Brokers and Insurers to optimise pricing and increase profitability.

A Microsoft partner and founder member of the Data Science Foundation and Insurtech UK, Incited has teams of experts with decades of experience in delivering innovative solutions to insurance. The company is dedicated to digital innovation and committed to client success through the creative application of technology and data.

Incited is a founder member of the Data Science Foundation. Find out more at incited.com.

About Polaris

Polaris is an industry-leading software solutions provider that enables digital trading in the insurance industry. Polaris’ industry-defining digital trading Standards, leading product definition and rating engine, and digital trading platform enable participants in the UK General Insurance market to build, control, and distribute their digital insurance products. Polaris offers constantly evolving solutions informed by key industry players with ongoing product updates and over 1,000 hours of input from industry advisors.

Polaris’ rating engine, used by over 65% of major UK insurers, is system agnostic and allows for data enrichment via solutions such as IMMERSA365. Polaris is dedicated to serving insurance industry members through such technological advancements and providing ever-evolving solutions to its customers.

Source: Plato Data Intelligence: PlatoData.io

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