Tag: hx Renew

Conduit Re Adopts hyperexponential’s PDI Platform

Conduit Re, based in Bermuda, and hyperexponential, a leading pricing decision intelligence (PDI) firm, have embarked on a transformative partnership.

A guide to Lloyd’s pricing Maturity Matrix for insurers

The Lloyd’s 'Principles of Doing Business', launched in 2022, is a comprehensive 156-page framework designed to guide managing agents on the standards of excellence across different facets of insurance - from pricing and underwriting to governance and culture. Yet, with its length and detail, it isn't light reading.

Transforming insurance pricing through decision intelligence

Understanding and effectively applying pricing decision intelligence is pivotal in improving profitability for insurers. Despite its significance, the industry grapples with successfully transforming their...

From stagnation to transformation: How pricing reshapes the digital landscape for...

Digital transformations have spurred exponential profitability across various sectors including ridesharing, retail, banking, and travel. However, according to hyperexponential, despite being a data-rich sector, the insurance industry has been slower in achieving this level of growth.

hyperexponential deploys pricing platform into Canopius

hyperexponential (hx), a SaaS pricing platform for insurers, has partnered with Canopius, a global specialty (re)insurer.

How Lloyd’s Project Rio and ‘Principles of Doing Business’ will impact...

Lloyd’s recently released a 156 page document titled ‘Principles of Doing Business’, which outlines the responsibilities of all managing agents. To help companies quickly digest this and ensure they stay compliant, hyperexponential has released a report summarising the key takeaways.

QIC Global teams with hyperexponential, experiences 4x drop in model adjustment...

Qatar-based insurance organisation QIC Global has partnered with hyperexponential, a SaaS pricing platform for insurers. Within the first 100 days of using the technology, QIC Global has experienced a four-times reduction in time to adjust models.

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