- Revenue
- $87.7M
- Customers
- -
- Year founded
- 2009
- Funding
- $100M
- Team size
- 162
- Growth
- -
Top 18 Underwriting & Rating Software SaaS Companies in May 2026
As of May 2026, there are 18 SaaS companies in Underwriting & Rating Software. They have combined revenues of $237.2M and employ 1.1K people. They have raised $163.7M and serve 750 customers combined.
Underwriting & Rating Software comprises specialized tools aimed at assisting insurance providers and financial institutions in evaluating risks and determining policy pricing. These solutions facilitate the assessment of various factors, such as applicant information, historical data, and market conditions to ensure precise underwriting decisions. Typical workflows include data gathering, risk assessment, pricing determinations, and policy issuance. The features often encompass automation of decision-making processes, machine learning capabilities for enhanced accuracy, and compliance checks. This software is essential for underwriters, actuaries, and risk managers who require efficient and reliable methods to manage underwriting tasks and rating procedures. Additionally, these tools are designed for integration with other enterprise systems, enabling smooth data exchange. Common buyer personas include insurance underwriters, actuaries, and IT professionals seeking to optimize the underwriting process.
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Top Underwriting & Rating Software Companies
Showing 10 of 5 companies ranked by annual revenue.

Paris, Île-de-France, France
Akur8 is a developer of an AI-driven insurance pricing and reserving platform designed to provide AI-powered pricing automation and optimization for insurance.
- Revenue
- $62M
- Customers
- -
- Year founded
- -
- Funding
- -
- Team size
- 193
- Growth
- -

Paris, Ile-de-france, France
Akur8, the AI Pricing solution, enables insurance carriers to improve their profits and win market share with pricing models created and updated in hours instead of months. Akur8 developed unique leading edge algorithms dedicated to insurance pricing. The disruptive technology developed by our R&D team allows to combine Machine Learning and Actuarial worlds. GLM (Generalized Linear Model) is a well-established technique that answers all Risk Modelling constraints: it is easy to understand and it enables a clear validation process. But it is manual. Iterations and discoveries are long and slow, involving large number actuarial resources. Using cutting edge machine learning, we have automated GLM modelling. From variable selection to geographic smoothing, you decide the tradeoff between clarity and performance. You can immediately spot anomalies and discover new patterns. Building models with Akur8 is 10 times faster than with traditional solutions - with a better result. Akur8 solution
- Revenue
- $20.5M
- Customers
- 350
- Year founded
- 2018
- Funding
- $41.9M
- Team size
- 166
- Growth
- 100.2%

Boston, Massachusetts, United States
Gradient AI provides award-winning artificial intelligence (AI) solutions for the insurance industry. Its solutions improve loss ratios and profitability by predicting underwriting and claim risks with greater accuracy, as well as reducing quote turnaround times and claim expenses through intelligent automation. Unlike other AI solutions that use a limited claims and underwriting dataset, Gradient's SaaS platform leverages a vast industry data lake comprising tens of millions of policies and claims. It also incorporates key features including economic, health, geographic, and demographic information. Customers include some of the most recognized insurance carriers, MGAs, MGUs, TPAs, risk pools, PEOs, and large self-insured employers across all major lines of insurance. By using Gradient AI's solutions, insurers of all types achieve a better return on risk. We are proud to have been recognized by Built In five years in a row, including two categories in 2025––Best Place to Work in Boston and Best Midsize Places to Work in Boston! Check out our page here: https://www.builtinboston.com/company/ Gradient AI was founded in to address the need for state-of-the-art AI and Machine Learning (ML) solutions for the trillion-dollar insurance industry. Our software-as-a-service platform uses AI to help commercial insurers automate and improve underwriting results, reduce claim costs, and improve operational efficiencies. Our software and models are utilized by many of the world’s most recognized Insurance Carriers, MGAs, TPAs, Pools, PEOs and more. Our team of expert Data Scientists and Insurance Technology experts have an exceptional history of building wildly successful insurance technology companies, with the most satisfied customers in the industry. At GradientAI we focus exclusively on delivering measurable results for your underwriting and claims operations.
- Revenue
- $12.8M
- Customers
- -
- Year founded
- 2018
- Funding
- -
- Team size
- 116
- Growth
- -

London, United Kingdom
Cytora is the configurable platform that enables commercial insurers to create digital workflows by digitising, evaluating and routing risks. Cytora digitises every incoming risk, augments them with additional data sources, evaluates them against multiple rules including appetite and priority, and routes them to downstream systems for automated or manual underwriting. Member of the 2020 Tech Nation Future Fifty 8.0 Cohort Member of the 2020 Insurance Post Insurtech 100 WINNER - DIAmond Award, DIA Amsterdam 2019 SILVER - Excellence in Technology - Service Provider, Insurance Times 2019 WINNER - Best AI Product In Insurance, CogX Innovation Awards 2019 WINNER - Risk-Modelling Technology of the Year, Insurance Times Awards 2018
- Revenue
- $10.6M
- Customers
- -
- Year founded
- 2014
- Funding
- -
- Team size
- 96
- Growth
- -
Inclusion Criteria
- The software must facilitate risk assessment and evaluation in insurance applications. - It should include features for automating decision-making and improving efficiency. - Capabilities to process and analyze large sets of data are required. - The solution must support pricing and rating tools for insurance policies. - Not just for underwriting; must also include rating functionalities. - Integration with other data systems and compliance tools is essential. - User roles targeted include underwriters, actuaries, and risk management professionals.
