Pricing, without yet another platform.

No new system to learn. No data duplication. No rebuild.

Reflex executes pricing models as a cloud-based managed service, behind the scenes.

Key Design Goals

Pricing-as-a-Service

Reflex converts, hosts, runs, and maintains your pricing models as a managed service.

There is no new platform for your teams to learn and no operational burden to absorb. Pricing executes reliably in the background, embedded directly into the systems you already use via APIs.

Let your actuarial and underwriting teams remain focused on pricing decisions and risk insight, not platform engineering or infrastructure support.

Reflex is designed for real-world pricing workloads: including simulation-heavy, frequency–severity, or heavy-duty bayesian models.

Backed by the choice of Julia as the programming language, models run quickly and efficiently in production, not just in research or proof-of-concept spreadsheets; all without any arbitrary constrains on packages or runtime.

Execution at Speed

Reflex avoids unnecessary proprietary tooling where proven industry standards already exist. Model code is managed using familiar version control practices like Git, rather than bespoke systems that teams must learn and maintain.

This keeps workflows simple, transparent, and aligned with how modern engineering and actuarial teams already work.

Reflex integrates cleanly with existing policy systems, underwriting portals, and data platforms via APIs. Why pay for duplicate tooling, or rip-out existing and functioning systems?

Models can be deployed, versioned, and developed without being tightly coupled to a specific front-end or vendor ecosystem. This keeps the pricing logic clean, auditable, and portable.

Modular by Design
Don’t Reinvent the Wheel

Why not Others?

Pure Excel


Excel is flexible, familiar - and yet risky at scale:

  • Difficult to govern, version-control, and audit

  • Fragile as models grow in complexity

  • Poor performance for simulation and portfolio pricing

  • High operational risk when embedded in production workflows


Reflex removes the spreadsheet mess while preserving modelling intent.

Python / R scripts

Python and R excel at proof-of-concepts, but come with their struggles in production:

  • Performance limitations for large simulations

  • Complex dependency and environment management

  • Significant engineering effort to deploy to production-grade


Reflex bridges the gap between modelling and execution without turning pricing teams into software teams.

Other Vendor platforms

Most other pricing platforms bundle pricing logic with:

  • Dictated user interfaces

  • Restrictive vendor-specific APIs and workflows

  • Opaque and inaccessible storage layers

  • Ever-increasing 'features'/ bloat-ware to maximise lock-in


This increases cost, reduces flexibility, and forces firms to pay for functionalities they may already have developed for the sake of IP control. Model innovation then becomes constrained by platform design and release cycles.

Reflex unbundles pricing execution so it can fit cleanly into your existing stack.


FAQ.

1. What is Reflex, in simple terms?

Reflex is pricing-as-a-service. It executes pricing models in production as a cloud-based, managed, behind-the-scenes service that communicates to your systems via APIs; all without introducing another platform for your teams to learn or maintain.

2. Does Reflex replace our existing systems?


No. Reflex is designed to integrate into your current systems, not replace them. It works alongside your existing policy administration systems, underwriting portals, and data platforms etc. via APIs.


3. What types of pricing models can Reflex run?


Reflex supports a wide range of pricing approaches, including frequency–severity models, simulation-based pricing, large-loss/ CAT layers, and scenario-driven underwriting logic. Models are written in high-performance open-source language Julia - all versioned, auditable, and portable.

4. How is governance and control handled?


Pricing models in Reflex are explicitly versioned and controlled via plain-vanilla Git. Changes can be reviewed, approved, rolled back, and audited, supporting underwriting governance requirements.


5. How does Reflex relate to C4?


Reflex is the execution layer for pricing models, whilst C4 is the SaaS platform for portfolio projection, structuring, and decision-feedback loop.

Clients can use Reflex standalone, or pair it with C4 for deeper insight, governance, and capital analysis.