Ptally compared: established pricing platforms and new AI entrants

Insurers and MGAs choosing a pricing platform usually compare two groups. The first is the established vendors, whose platforms are used by large carriers. The second is a newer group of AI-led options, including AI-native startups and teams building their own raters with general-purpose AI tools.

This article sets out how Ptally differs from both. Two points shape most of the comparison:

• Ptally is AI enabled from end to end. AI extracts rate tables from your documents, drafts the model, checks it against your worked examples and runs the tests on every change. Pricing consultants review the work, and you approve every release.
• Ptally is free to get going. There is no implementation fee and no upfront cost. On the Performance plan, the fee is up to 1% of the gross written premium your models write, so you pay when the product is earning.

Ptally and the established platforms

The established vendors are well proven at large carriers. They are typically sold as enterprise software: you license the platform, then your own team or an implementation partner builds and maintains the models on it. That suits organisations with large in-house pricing and IT teams. It is a heavier commitment for an MGA or a carrier launching a new product.

	Ptally	Enterprise pricing platforms (e.g. Earnix, WTW Radar)	Core system rating modules (e.g. Guidewire, Duck Creek)	Specialty pricing platforms (e.g. hyperexponential)
Upfront cost	None. No implementation fee	Typically a licence fee plus an implementation project	Typically part of a wider core system programme	Typically a licence fee plus onboarding
Who builds the model	Ptally consultants, using AI, from your rating guide	Typically your pricing team or a partner	Typically your IT team or a systems integrator	Typically your pricing team, writing model code
Time to first live model	Days	Typically months, depending on scope	Typically tied to the core system timeline	Varies with model complexity
Use of AI	AI extracts, drafts, validates and tests every model	Varies by vendor; often focused on analytics and optimisation	Varies by vendor	Varies by vendor
Model format	Readable JSON configuration with tests included	Vendor-specific	Vendor-specific	Program code
Ongoing rate changes	Managed by the team that built the model	Typically your team	Typically your team or a partner	Typically your team
AI client access	Built-in MCP server for Claude, ChatGPT and Cursor	Varies by vendor	Varies by vendor	Varies by vendor
Commercial model	Up to 1% of GWP, or a flat fee per live model	Typically annual licence	Typically part of the core system contract	Typically annual licence

Pricing modelling tools such as Akur8 focus on building the rating structure from data. Ptally focuses on implementing, testing and running the model in production and managing it afterwards, so the two can work together.

Where Ptally is the better fit

• You want a product live quickly without funding an implementation project.
• You would rather pay as premium is written than commit to a licence before launch.
• You want your pricing team's time spent on rates, not on implementation.
• You want models your underwriters and auditors can read, with tests included.

Where an established platform may suit you better

• You have a large in-house pricing team that wants to build and own every model itself.
• You are already committed to a vendor's wider analytics or core system suite.

Ptally and the new AI entrants

The newer options use AI heavily, but they differ in who does the work and how ready the result is for a regulated business.

	Ptally	AI-native pricing startups	Build it yourself with AI coding tools	Spreadsheet raters
Upfront cost	None	Varies	Developer time from day one	Low, but grows with every product
Who does the work	Ptally consultants, with AI	Usually your team, with the vendor's AI tools	Your developers	Your pricing team
Pricing expertise included	Yes. Consultants build and manage the model	Usually not	No	Your own
Model readability	Readable configuration that underwriters can review	Varies	Program code that needs an engineer to review	Readable, but hard to audit at scale
Testing	Test suite in every model, run on every change	Varies	Only what you build	Manual checks
Versioning and approvals	Every version recorded, people approve and publish	Varies	Only what you build	Limited
Production serving	Real-time API, embedded forms and MCP, proven at aggregator volume	Varies	You host and scale it	Not suitable for live quoting
Ongoing management	Included in every plan	Usually your team	Your team	Your team

Why AI alone is not the answer

General AI tools can now write a working rater in an afternoon. The harder parts are proving it prices correctly, keeping a record of every change, serving it reliably at aggregator volume and maintaining it as rates change. Ptally combines AI with pricing consultants and a production rating engine, so you get the speed of AI with the controls a regulated product needs.

The short version

• Compared with established platforms, Ptally has no upfront cost, no implementation project and a team that builds and manages the model for you.
• Compared with new AI entrants, Ptally includes pricing expertise, testing, version control and a production rating engine, rather than only the AI.
• Compared with both, Ptally is free to start. You pay as your models write premium.

Getting started

Send us your rating guide, spreadsheet or filing and we will come back with a working, tested model. There is no implementation fee and nothing to pay upfront. Talk to our team or see the pricing plans.

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