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Top 15 Insurance Analytics Software Companies Under $1M Revenue (September 2026)

As of September 2026, Latka tracks 15 insurance analytics software companies under $1M in annual revenue. They have combined revenues of $6.7M and employ 74 people. They serve 19M customers combined.

Every company below sells insurance analytics 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.

What Insurance Analytics Software Companies do

Insurance Analytics Software refers to applications designed to analyze and visualize data related to insurance policies, claims, customer behavior, and risk management. These tools utilize advanced data analytics, machine learning, and artificial intelligence to enable insurers to make informed decisions that enhance operational efficiency and drive profitability. Primary use cases include fraud detection, predictive modeling, customer segmentation, and compliance monitoring. Key features of insurance analytics software often include data integration capabilities, interactive dashboards, real-time reporting, and predictive analytics tools. Users typically include insurance companies, underwriters, claims adjusters, and compliance officers, all seeking to leverage data insights for strategic benefits. By embedding these analytics within policy and claims workflows, organizations can enhance their customer interactions and improve overall service delivery.

Companies
15
Revenue
$6.7M
Funding
-
Employees
74

Filters

Sorting: Highest -> Lowest

Filters

Top Insurance Analytics Software Companies Under $1M Revenue

Showing 10 of 15 companies ranked by annual revenue.

1Tautona AI logo
Tautona AI

Johannesburg, Gauteng, South Africa

We believe that when a policyholder submits an insurance claim, that action should trigger an instant decision, with the outcome immediately communicated back to the policyholder. This will enable policyholders to benefit from swift claims handling, communication, and compensation - leading to total transparency and instant gratification. The Tautona platform uniquely integrates automated decisions with A.I., machine learning, data mining, business rules and analytics to help insurance companies identify which claims can be automatically processed and which should be handled manually. We also identify fraudulent claims and point to specific facets of the claim that requires further investigation. The algorithms we use are designed to reproduce a claim handler’s deductive reasoning, making investigations quicker and easier. By automating decision-making, communication, and compensation, Tautona enables insurance companies to take a major step towards becoming true digital insurers.

Revenue
$880K
Year founded
2017
Team size
8
2Claims Carbon logo
Claims Carbon

Stockholm, Stockholm County, Sweden

Claims Carbon was founded to help insurers reach net-zero in their entire value chain. The Claims Carbon software calculates the size of the climate challenge and opportunity in the ecosystem of an insurance company. Moreover, it helps in target setting and follow up of emission reductions and provides key data for net-zero insurance product development.

Revenue
$770K
Year founded
2021
Team size
7
3Nuon AI logo
Nuon AI

United Kingdom

Welcome to the world’s first API-connected AI pricing platform, delivering insurance product growth for insurers, brokers and MGAs globally. Nuon AI’s real-time AI pricing solves 3 distinct problems for insurance organisations, enabling peak product performance across both new business and renewals. 1. Increase...

Revenue
$660K
Year founded
2020
Team size
6
4Puying Intelligence logo
Puying Intelligence

Shanghai, China

Developer of a AI-empowered insurance claims processing engine. The company's technology helps clients reduce fraudulent claims and processing time, enabling insurance companies to more efficiently process claims.

Revenue
$645.1K
Year founded
2017
Team size
13
5InsurIQ logo
InsurIQ

Denver, Colorado, United States

Insur IQ is focused on migrating insurance enterprise workflow from traditional manual, analog, and paper-based insurance processes to a fully automated, digital, product management and paperless ecosystem. Insur IQ facilitates core processes with single data entry into a fully integrated, multi-function, multi-discipline, end-to-end, user environment. We collapse time and expense associated with the traditional insurance purchase and delivery continuum while simultaneously improving the Policyholder, Agent, and Carrier experience.

Revenue
$550K
Year founded
2017
Team size
5
6Power AI logo
Power AI

Milano, Lombardia, Italy

L'intelligenza artificiale che parla il linguaggio dell'insurance.

Revenue
$550K
Year founded
2025
Team size
5
717doubao.com logo
17doubao.com

China

Provider of digital insurance solutions for insurance providers. The company develops cloud-based SaaS platforms with build-in analytical and planning tools, providing comprehensive technological solutions to help insurance planners and intermediaries develop better insurance products and manage customer relations.

Revenue
$480.3K
Customers
19M
Year founded
2015
Team size
6
8Praxos logo
Praxos

Miami, Florida, United States

AI workbench for insurance brokers

Revenue
$330K
Year founded
2023
Team size
3
9Strative logo
Strative

California, United States

Strative is building the essential AI platform for regulated enterprises, starting with insurance. Our flagship product, DocuSense AI, is an Agentic AI solution that automates complex document workflows—reading, extracting, validating, and acting on unstructured data with 99%+ accuracy. We help MGAs and Speciality insurers process more applications, faster, and with lower operational costs—without sacrificing compliance or control. Unlike generic AI tools, Strative is purpose-built for industries that can’t afford errors. Our platform combines multi-agent AI architecture with proprietary industry datasets, and no-code configuration to deliver enterprise-grade accuracy, scalability, and trust. Backed by strong early tractions and partnerships with $1B+ insurers, we’re on a mission to transform how regulated organizations leverage AI—safely, efficiently, and at scale.

Revenue
$330K
Year founded
2024
Team size
3
10Driveway logo
Driveway

San Mateo, California, United States

Driveway is a robust, smartphone-deployed, cloud-based technology that provides auto insurers with comprehensive insured driving data for better pricing intelligence – maximizing the opportunity for lower loss ratios and higher profits. On July 22, 2021, it was announced that Driveway Software Corporation’s assets were acquired by Earnix, Inc., a global provider of advanced rating, pricing, and product personalization solutions for insurers and banks.

Revenue
$330K
Team size
3

Frequently asked questions about Insurance Analytics Software Companies Under $1M Revenue

How many insurance analytics software companies under $1M in annual revenue are there?

Latka tracks 15 insurance analytics software companies under $1M in annual revenue. Together they generate $6.7M in annual revenue and employ 74 people.

Which insurance analytics software company under $1M in annual revenue is the largest?

Tautona AI is the largest, with $880K in annual revenue, founded in 2017.

How much revenue does a typical insurance analytics software company under $1M in annual revenue make?

The average insurance analytics software company in this list makes $444.3K a year, across 15 companies with reported revenue. They serve 19M customers combined.

Who are the leading Insurance Analytics software vendors under $1M in annual revenue?

Ranked by annual revenue, the leaders are Tautona AI, Claims Carbon, Nuon AI, Puying Intelligence and InsurIQ.

Related Vertical Industry Software categories

Inclusion Criteria

- The software must provide tools for data analysis specifically tailored to insurance-related data. - Must include functionalities for predictive analytics to forecast trends and behaviors. - Should support integration with existing insurance management systems to facilitate data flow. - Must cater to various insurance stakeholders, including underwriters, claims handlers, and risk managers. - Not just for claims management; must also offer capabilities for underwriting and risk assessment.