Palo Alto, California, United States
Transforming Commercial P&C Industry with LLM-Powered AI
- Revenue
- $9.8M
- Year founded
- 2020
- Team size
- 63
As of November 2026, Latka tracks 5 underwriting & rating software companies with $5M–$10M in annual revenue. They have combined revenues of $38.1M and employ 288 people. They have raised $14M.
Every company below sells underwriting & rating software to other businesses and is ranked by its most recent annual revenue. Revenue, funding, headcount and customer figures come from CEO interviews on the Latka podcast, public company filings, and Latka estimates where a company has not disclosed a number.
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.
Sorting: Highest -> Lowest
Showing 5 of 5 companies ranked by annual revenue.
Palo Alto, California, United States
Transforming Commercial P&C Industry with LLM-Powered AI
Whyteleafe, Surrey, United Kingdom
Artificial builds technology and software tools for commercial insurers and brokers. Artificial provides a cloud-based algorithmic underwriting platform, as well as applications that can be built on top of existing legacy systems or Artificial's core system.
New York, New York, United States
Sixfold is a risk assessment AI solution built exclusively for insurance underwriters. The platform boosts underwriting efficiency, accuracy, and transparency.
Paris, Île-de-France, France
Seyna offers the infrastructure to create, sell and manage insurance products, as easily as Stripe to collect payments or AWS to host your website. For insurance brokers (traditional and insurtech), Seyna offers a technical platform and underwriting services, to quickly launch new insurance products and then manage the contracts. For companies, we enable the worldwide transition to « embedded-insurance ». Traditionally, I purchase my asset (house, car, lease on an office), but then I have to go somewhere else (an insurance broker) to buy insurance. This model is shifting. Using Seyna, companies can sell insurance to their own clients during the transaction (« would you like some insurance with that? »). Add an extended warranty when selling a computer, a car insurance when selling a car, rent insurance when leasing a house. Seyna is a licensed underwriter - we manage the risk, data, regulatory aspects and capital requirements. Companies of all sizes, from start-ups to large enterprises, use our software, API and underwriting services to sell insurance to their clients.
Latka tracks 5 underwriting & rating software companies with $5M–$10M in annual revenue. Together they generate $38.1M in annual revenue and employ 288 people.
Pibit.ai is the largest, with $9.8M in annual revenue, founded in 2020.
The average underwriting & rating software company in this list makes $7.6M a year, across 5 companies with reported revenue.
Ranked by annual revenue, the leaders are Pibit.ai, Artificial Labs, Sixfold AI, Seyna and Kalepa.
The 5 underwriting & rating software companies with $5M–$10M in annual revenue tracked here have raised $14M in disclosed funding between them.
- 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.