The use case: how AEGIS London deploys hyperexponential
AEGIS London replaced a bespoke web-based pricing platform by rebuilding its full set of pricing models, covering all of its lines of business, in hx. Actuaries built the models in-house using Python, and the platform integrates with the syndicate's other systems and data sources.
More reported results
Figures published in hyperexponential’s case study. They are not independently measured by usedby.
AEGIS London built an incredible 58 pricing models in hx—their entire suite-- in just nine months.
The challenge was to shift models that had been custom built for 21 lines of business onto a new platform
In the customer’s words
the quarterly business reviews are very effective at focusing on pain points and areas to improve performance, not just a box ticking exercise that we sometimes see.Other companies using hyperexponential
Customers across industries, with public evidence.
See all hyperexponential customersGo straight to the source
Based on hyperexponential’s published case study. We check the public evidence; the results are reported by the vendor.
hyperexponential.com- Last checked
- Oct 27, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The figure: 58 pricing modelsChecked
Printed word for word on the page, near the name of AEGIS London.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of AEGIS London.
- AEGIS London uses hyperexponentialChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
AEGIS London built an incredible 58 pricing models in hx—their entire suite-- in just nine months. This was done entirely by actuaries in-house.




