# How AEGIS London uses hyperexponential

**58 pricing models**: “AEGIS London built an incredible 58 pricing models in hx”

As published on [hyperexponential.com](https://www.hyperexponential.com/customer-stories/aegis-london-and-hyperexponential). Captured by usedby on 2026-10-27.

- Company: [AEGIS London](https://www.usedby.ai/companies/aegis-london.md)
- Tool: [hyperexponential](https://www.usedby.ai/tools/hyperexponential.md)
- Teams: Actuarial, Underwriting

## 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.

Summary written by usedby from the source page, in English. The figures are those of hyperexponential and AEGIS London, not ours.

> 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.

- **nine months**: “AEGIS London built an incredible 58 pricing models in hx—their entire suite-- in just nine months.”
- **21 lines**: “The challenge was to shift models that had been custom built for 21 lines of business onto a new platform”

> 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.
>
> Roger Misra, Change Manager

Source: [hyperexponential.com](https://www.hyperexponential.com/customer-stories/aegis-london-and-hyperexponential), captured 2026-10-27.

## Other companies using hyperexponential

- [Aviva](https://www.usedby.ai/companies/aviva.md) — Confirmed
- [RB Jones](https://www.usedby.ai/companies/rb-jones.md) — Confirmed
- [Rising Edge](https://www.usedby.ai/companies/rising-edge.md) — Confirmed
- [Allianz](https://www.usedby.ai/companies/allianz.md) — Observed
- [Antares](https://www.usedby.ai/companies/antares.md) — Observed
- [Apollo.io](https://www.usedby.ai/companies/apolloio.md) — Observed

## What usedby checked

We compared the story with its live page on 2026-10-27.

- Checked: the figure 58 pricing models is printed word for word on the page, near the name of AEGIS London.
- Checked: the passage quoted above is copied word for word from the page, near the name of AEGIS London.
- Checked: AEGIS London uses hyperexponential. Confirmed line. Latest check across sources: 2026-10-27.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/aegis-london-hyperexponential · How we check: https://www.usedby.ai/methodology