Insurance Pricing Software Integration Services

Turning Pricing Models
into Usable Software

Actuarial and data science teams may build pricing models using specialised tools and methods. Turning those models into software that works within a live quote or policy workflow requires the right interfaces and supporting components.

We build the software layer around existing pricing capabilities, so insurance applications and operational systems can use them reliably. This also helps move pricing updates from validation into production in a controlled way.

book a technical consultation

our CAPABILITIES

Pricing software & actuarial engine integration — Build bi-directional API connectors for leading rating engines like Willis Towers Watson (WTW) Radar, Earnix, and Hyperexponential (h2x), connecting them seamlessly with live quote, policy, and distribution workflows

Pricing data & model microservices — Containerise custom Python and R predictive models into scalable microservices and build robust data pipelines from raw input data to downstream applications

PAS & core systems integration — Connect real-time pricing capabilities directly with modern and legacy Policy Administration Systems (PAS), customer portals, broker tools, and aggregators via low-latency APIs

Production-ready architecture — Build reliable, testable, and observable software layers around pricing logic to ensure continuous model deployment, auditability, and sub-second response time

Real-time & batch processing — Support both high-throughput live pricing workflows for instant online quoting and large-scale batch calculations for portfolio re-rating

Legacy & cloud-native migration support — Modernise legacy actuarial setups by decoupling embedded rating logic from legacy monoliths, migrating rating rules to modern cloud microservices (Python/R) or SaaS engines (Earnix, WTW Radar, Hyperexponential) without disrupting active PAS operations

Pricing Software
in the Wider Insurance Platform

Pricing is rarely a standalone capability. It may need to exchange data with quotation tools, policy administration systems, customer portals, aggregators, and other insurance services.

We build the software connections that make these pricing workflows work within your existing technology ecosystem.

For broader platform integration, cloud infrastructure, and legacy core modernisation, see our dedicated cloud solutions & integrations service

Explore Cloud Solutions & Integrations

Pricing Solution Architecture

Production pricing software needs more than a working calculation. It needs reliable, testable, maintainable architecture.

We focus on:

Clear interfaces: Separating pricing logic from surrounding application logic.
Model versioning: Tracking changes to support consistent and auditable results.
Data validation: Checking inputs before calculations run.
Testing: Verifying outputs against expected rating behaviour.
Observability: Monitoring calculation flows and performance.
Controlled deployment: Releasing pricing changes safely and traceably.

Case Study: Pet Insurance Platform Launch

As part of a 12-month project for a UK InsurTech, we engineered an end-to-end pet insurance product line. The project involved containerising a custom Python pricing engine and deploying high-throughput APIs to integrate real-time rate calculations directly with the Policy Administration System (PAS) and third-party distribution channels.

See how we launched a new pet insurance business line →

FAQ

What is an insurance pricing software solution?

An insurance pricing software solution connects pricing logic with the applications, data, and systems involved in quoting and policy workflows. It can include APIs, pricing services, data processing, model integration, and connections to existing insurance platforms.

What is an insurance pricing engine?

An insurance pricing engine is a software component that applies rating logic to the data provided by an application and returns a calculated premium or other pricing result. It can incorporate one or more pricing models and connect them to wider insurance workflows.

Can you integrate an existing pricing model into an insurance application?

Yes. We build the APIs, interfaces, and data flows needed to connect existing pricing capabilities with insurance applications and platforms.

Read how to put pricing models into production.

Can predictive analytics be used in insurance pricing?

Yes. Predictive models can provide inputs or outputs within a wider pricing workflow. We can build the data flows and software integrations needed to connect those models with pricing services and insurance applications.

Do you build actuarial pricing models?

No. We don’t provide actuarial modelling or insurance pricing consultancy. We build the software around existing pricing capabilities.

Can pricing software work with an existing insurance platform?

Yes. We integrate pricing components with existing policy administration systems, databases, and other insurance applications.

Explore Cloud Solutions & Integrations →

Ready to put your pricing capabilities into operation?

Talk to our team about the software, data flows, APIs, and integrations needed to bring your existing pricing capabilities into production

Discuss Your Pricing Solution

Insurance Pricing Software Solutions& Integration

Turning Pricing Models into Usable Software