---
path: /insurance-pricing-software
title: "Insurance pricing software built for actuaries"
description: "Insurance pricing software for actuaries: build, test, and deploy rating models with citations, version control, and a callable API — without the IT relay race."
section: Product
priority: 0.7
changefreq: monthly
source_file: pages/marketing/seo/articleData.ts
---

# Insurance pricing software built for actuaries

Pricing software should let actuaries move from data to a deployed, defensible rate without handing the model to IT and waiting months. Tesora unifies modeling, self-testing, and deployment in one governed environment, with every factor cited to its source.

## What pricing software should do

- Build raters from anywhere — Excel files, SERFF filings, or Python scripts.
- Test and audit automatically before anything ships.
- Deploy to a callable API or front end without an IT rebuild.
- Keep author, reviewer, and approver as separate identities for SOX.
- Cite every factor back to its source for regulatory review.

## Why actuaries outgrow spreadsheets

Excel raters are transparent but fragile: logic lives on laptops, changes are unversioned, and deployment falls to IT. The result is a multi-month relay race from model sign-off to production — time during which rate adequacy can deteriorate.

Tesora preserves the transparency actuaries rely on while adding versioning, governance, and a deployment path that does not require recoding the model.

## How Tesora compares to other pricing platforms

Based on each vendor’s own description: Akur8 is an AI-first actuarial platform (pricing, reserving, life) centered on transparent automated GLMs/GAMs; hyperexponential is a Python-native pricing and underwriting platform for specialty and commercial lines; WTW Radar is an AI-powered pricing, underwriting, and claims analytics and deployment suite; Guidewire PricingCenter is a unified pricing and rating environment that deploys via API. Tesora differs in being agentic and audit-first: the work is assembled by trained agents, but every output is cited, reproducible, and reviewable.
