# Swallow vs Guidewire PricingCenter

> Swallow and Guidewire PricingCenter compared: who each suits, how each relates to PolicyCenter, how models are built, tested and released, AI and distribution.

Published 13 March 2026. Category: Comparisons.
Source: https://www.swallow.app/post/swallow-vs-guidewire-pricingcenter

Guidewire PricingCenter is a natural fit for P&C insurers that run Guidewire PolicyCenter on Guidewire Cloud, or are moving to it, and want pricing and rating in the same suite. Swallow fits insurers and MGAs that want a rating engine any policy system can call over an API, with readable models, tests on every version and AI in the workflow. If you're committed to Guidewire, PricingCenter keeps rating next to your policy and product definitions. If you aren't, or you need a product live soon, Swallow is worth a look.

## About Guidewire PricingCenter

Guidewire announced **PricingCenter** on 28 October 2025 at its Connections conference, calling it "a unified pricing and rating application" for property and casualty insurers. It's aimed at actuaries, pricing teams and IT developers, and covers the journey from model design through testing to governed deployment.

The launch came after Guidewire bought Quantee, a pricing software company based in Poland, in a deal that closed in April 2025. At the time Guidewire said the acquisition would speed up delivery of "an integrated pricing and rating solution".

Guidewire's launch release lists:

- A no-code interface to build, test and deploy pricing models, "supported by AI-assisted insights".
- Support for lookups, rating tables, formulas, GLMs and GAMs, machine learning models and price optimisation algorithms.
- Analysis of a rate change's expected impact before release.
- Connections to Guidewire PolicyCenter, Advanced Product Designer, Data Studio and HazardHub.

The Guidewire Marketplace listing names Guidewire Cloud Platform as the deployment, and says PricingCenter can run on its own or natively with PolicyCenter. Guidewire hasn't published more detail on the AI features, and doesn't publish pricing.

## About Swallow

Swallow is a pricing platform and rating engine for insurers and MGAs. Each model is a JSON file of ordered steps: inputs, rate table lookups, calculations, exclusions, refers, excesses and endorsements. Teams build models on a visual canvas, from a prompt or an uploaded spreadsheet, or with an AI client over the [MCP server](https://www.swallow.app/developer/mcp). Every version keeps its own tests and moves from draft to approved to published. Any system can price a quote through the REST API, and the same model also powers embedded forms and voice and chat AI.

## At a glance

| | Swallow | Guidewire PricingCenter |
|---|---|---|
| **What it is** | Pricing platform and rating engine | Pricing and rating application within Guidewire InsuranceSuite |
| **Typical buyer** | Insurers and MGAs | Typically P&C insurers on Guidewire PolicyCenter |
| **Policy system** | Any. Called over a REST API | Native with PolicyCenter; standalone use listed |
| **Where models come from** | Rating guides, spreadsheets, US rate filings or any modelling tool | Built in PricingCenter, including GLM, GAM and machine learning models |
| **Model format** | Readable JSON of ordered steps; rate tables upload and download as CSV | Not published in detail |
| **Testing** | Tests saved on each version and run on a draft before approval | Testing and impact analysis before release |
| **Approvals and audit** | Draft, approved, published; roles decide who approves; every quote records its version | Governed deployment described; detail not published |
| **AI** | AI builds models and tests from prompts; MCP server for Claude, ChatGPT and Cursor | "AI-assisted insights" in the no-code interface |
| **Deployment** | Cloud platform run by Swallow | Guidewire Cloud Platform |
| **Commercial model** | [Talk to us](https://www.swallow.app/contact) | Not published |

## Where they differ

### Inside the suite, or alongside it

PricingCenter's biggest advantage is its position. With rating in the same suite as PolicyCenter and Advanced Product Designer, the product definition, the policy transaction and the rates share one data model and one vendor. Swallow doesn't depend on any policy system. It's an external rating engine that systems call over the [API](https://www.swallow.app/developer/api), so it suits carriers on other platforms, MGAs working on a broker's system, and direct or comparison-site journeys where no policy system is involved at all. Leave the version out of a request and the latest published one prices it, so callers don't change when rates do.

### Who does the building

Core system programmes are usually delivered by IT with a systems integrator, and rating changes follow the programme's release schedule. On Swallow, your pricing team owns the model and its releases. They can build on the canvas, start from a prompt and a spreadsheet, or have an AI client draft the JSON. If you want help getting started, send us your rating guide, spreadsheet or filing and we'll talk you through it.

### Reading and checking a model

A Swallow model is configuration an underwriter, actuary or auditor can read from top to bottom. Each test pins a full set of inputs to an expected result, and running the suite on a draft shows exactly which prices a change moves before anyone approves it. The [debug trace](https://www.swallow.app/developer/quoting) for any quote lists every input, lookup, formula and rule with the values it used, and each quote records the version that priced it.

### Modelling in the rating tool

PricingCenter brings GLMs, GAMs and machine learning into the rating application, which suits teams that want to build and deploy in one place. Swallow doesn't try to replace your modelling tool. It takes the rating structure your team designed, wherever it was built, and turns it into a tested production model. Where the structure comes from a US filing, our guide to [building pricing models from US rate filings](https://www.swallow.app/post/building-pricing-models-from-us-rate-filings) walks through the process.

### Where the AI sits

Guidewire describes "AI-assisted insights" in PricingCenter's interface. In Swallow, AI works on the model and the process around it: generating a model from a prompt, generating tests, writing version summaries and governance reports, and answering questions about quote data. Over MCP, Claude, ChatGPT or Cursor can read the rules, draft a model, validate it and run its tests. Agents can't create, edit or publish a project. A person uploads the model to a draft and approves and publishes it in the dashboard.

### Documents from the same model

Endorsement steps in a Swallow model decide which schedules, forms and clauses apply to a risk, and the quote response carries those codes so a template can build the [policy documents](https://www.swallow.app/developer/policies). Because the version that priced the quote also picked its forms, a document can't carry a clause the rating didn't allow for.

### Cost

Guidewire doesn't publish PricingCenter pricing, so ask for the full cost up to the first live quote, including implementation and any PolicyCenter work. For Swallow, [talk to our team](https://www.swallow.app/contact).

## When Guidewire PricingCenter is the better choice

- You run PolicyCenter, or are moving to Guidewire Cloud, and want rating in the same suite as your policy and product definitions.
- You use Advanced Product Designer, Data Studio or HazardHub and want native connections to them.
- Your pricing team wants to build GLMs, GAMs or machine learning models in the same tool that deploys rates.

## When Swallow is the better choice

- Your policy system isn't Guidewire, or you're an MGA without a core system programme.
- You're launching or migrating a product and want it live without waiting on a core system timeline.
- Your rates already exist in a rating guide, spreadsheet or filing, or in a modelling tool you use today.
- You want models people can read and audit, with tests on every version.
- You want endorsements in the model to drive your policy documents.
- You want the same model to serve your API, quote forms and conversational channels.

## Next steps

See how a Swallow model is built, tested and released on the [model building page](https://www.swallow.app/developer). Our overview of [Swallow vs insurance pricing platforms](https://www.swallow.app/post/swallow-vs-insurance-pricing-platforms) sets core system rating modules against the other options.

*This comparison reflects publicly available information as of November 2026. Vendor offerings change and vary by customer, so check current details with each vendor.*