Insurity, a provider of cloud-based software for insurance carriers, brokers, and MGAs, has partnered with .
Based in London, Concirrus – ninth on our InsurTech 50 ranking late last year – is the market leader in helping commercial insurers accelerate digital strategies using AI. Its global base of customers includes underwriters, P&I clubs, and brokers, who use its solutions to improve pricing decisions and automate underwriting operations.聽
Through this partnership, Insurity鈥檚 Marine Suite solution will integrate with Concirrus鈥� advanced analytics tools, enabling insurers to unlock the knowledge in the Insurity solution and create innovative pricing models.聽
By leveraging Insurity鈥檚 customer claim and shipment data, Concirrus will develop predictive models that adapt to the world鈥檚 supply chain dynamics. Insurity will provide an out-of-the-box connection to Concirrus applications, ensuring insurers can access and utilise these data-driven insights for informed decision-making.
鈥淲e are thrilled to be partnering with Insurity to deliver advanced analytics and a contemporary operating platform,鈥� said Andrew Yeoman, CEO at Concirrus. 鈥淲e operate in an environment where customers value integrated solutions that genuinely bring the best of all worlds.聽
鈥淚nsurity has the market-leading platform for declaration management and certificate issuance, and by bringing our capabilities together, Insurity customers benefit from a compelling analytics solution that unlocks insights to drive efficiencies, reduce losses, and boost profits.鈥�
Sylvester Mathis, chief insurance officer at Insurity, added: 鈥淭he logistics industry generates massive volumes of data related to global shipments, creating an urgent need to revolutionise pricing strategies and cargo risk management.
鈥淗arnessing the power of this data and extracting valuable insights has become pivotal for our marine cargo customers. This partnership enables Insurity to provide modern, predictive analytics to our customer base without the expense of building and maintaining the models themselves.鈥�
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