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Top 24 Click Fraud Software SaaS Companies in May 2026

As of May 2026, there are 24 SaaS companies in Click Fraud Software. They have combined revenues of $229M and employ 738 people. They have raised $209.4M and serve 4.7M customers combined.

Click Fraud Software is designed to detect and prevent fraudulent clicks on digital ads, ensuring that advertising budgets are spent effectively. These tools utilize advanced algorithms and data analytics to identify suspicious patterns, including clicks generated by bots or malicious actors, thereby protecting advertising investments. Users typically integrate this software into their pay-per-click (PPC) campaigns across various platforms, allowing for real-time monitoring and reporting on click activities. Common use cases for Click Fraud Software include digital marketing agencies, e-commerce businesses, and advertisers managing large PPC campaigns. Features often include IP tracking, click validation, and comprehensive analytics to differentiate between legitimate and fraudulent engagement. The typical buyers of these solutions include digital marketing managers, online advertisers, and businesses that rely heavily on paid advertising for customer acquisition.

Companies
24
Revenue
$229M
Funding
$209.4M
Employees
738

Filters

Sorting: Highest -> Lowest

Filters

Top Click Fraud Software Companies

Showing 10 of 24 companies ranked by annual revenue.

1
Cheq

New York, New York, United States

CHEQ is CHEQ AI Technologies Ltd, an Israeli technology company that offers an autonomous brand safety and ad-fraud prevention platform for digital advertising. CHEQ's platform uses artificial intelligence and machine learning algorithms to detect and prevent online advertising fraud, as well as protect brands from harmful content and inappropriate placements. The platform also offers real-time analytics and reporting for advertisers to optimize their campaigns and measure their performance.

Revenue
$168M
Customers
100
Year founded
2016
Funding
$182M
Team size
255
Growth
30.26%
2
App Samurai

New York, New York, United States

Mobile growth partner offering comprehensive services for user acquisition and engagement, transparency in fraud detection, and customer retention and conversion

Revenue
$9M
Customers
-
Year founded
2016
Funding
-
Team size
60
Growth
-
3
Scalarr

Wilmington, Delaware, United States

Developer of a platform created to provide ML-based anti fraud services. The company's platform detects the ad install fraud by using machine learning and big data algorithms, enabling mobile companies and app developers to protect themselves against the app-install advertising fraud and prevent data losses by analyzing advertising campaigns data of all stages.

Revenue
$7.4M
Customers
-
Year founded
2016
Funding
-
Team size
21
Growth
256.48%
4
EVINA

Paris, France

Download Case Study: Proximus x Evina https://docs.evina.com/case-study-proximus-x-evina | Mobile digital marketing has become an eldorado for fraudsters. Our exclusive technology blocks fraud so you can seize growth opportunities. Our constantly improving technology is the fruit of more than 10 years of work and obsession to guarantee the best protection for our customers. We are committed with the greatest determination to ensure the highest protection, the fewest false positives and the best latency (down to 5 ms). The increasing diversity in mobile uses offers tremendous opportunities for businesses but also for fraudsters. Our solution has been perfectly tailored to match these challenges, by taking into account the diversity of business cases, the specificities of mobile networks and the ever-growing mobile platform fragmentation. We are fully independent engineers dedicated to cyber security. As experts in mobile payment for more than 10 years, we are committed to fight

Revenue
$7.1M
Customers
4.7M
Year founded
2013
Funding
$22.5M
Team size
55
Growth
42.94%
5
Lunio

Manchester, England, United Kingdom

Lunio makes the internet a safer and more reliable place for everyone trying to grow their business by automatically getting rid of fake clicks, traffic, and leads on all ad platforms. Invest 100% of your ad spend on audiences with genuine conversion potential, and make better campaign optimisations by stopping fake and non-human data from muddying your metrics. No more wasted ad spend. No more worthless traffic. And no more guesswork. Get fully transparent campaign data and drive more profitable growth. The way paid media should be. Book a free, no-obligation traffic audit.

Revenue
$6.5M
Customers
-
Year founded
2018
Funding
-
Team size
59
Growth
-
6
Spider AF - Digital Ad Fraud Prevention

Minato-ku, Tokyo, Japan

Spider AF is an ad fraud detection tool that detects, blocks, and protects web ads from invalid clicks and conversions. With centralized fraud management and advanced automation, advertisers can easily detect fraudulent activity across published ads. Spider AF provides full digital advertising transparency, allowing advertisers to track ad placement, identify fraudulent behaviors, and analyze clean - fraud free data. With Spider AF, advertisers can view in-depth transparent reports that assist advertisers with making the right ad campaign decisions. Spider AF can stop suspicious users and bots in advance, and protect the advertising content and marketing analysis of any business. Advertisers can easily install Spider AF within a matter of minutes. Just add the Spider AF measurement tag to your website and start analyzing activity. Experience optimal ad performance without the fraud with Spider AF. Visit our website for more details and start preventing ad fraud with our one month free trial!

Revenue
$5.2M
Customers
-
Year founded
2011
Funding
-
Team size
47
Growth
-
7
Pixalate

Palo Alto, California, United States

Developer of a data analytics platform designed to bring transparency to programmatic advertising. The company's data analytics platform offers real-time campaign tracking, optimization, reporting and predictive fraud blocking services, enabling users with a suite of real-time fraud protection, market intelligence and independent quality ratings across devices and channels.

Revenue
$4.4M
Customers
-
Year founded
2012
Funding
$4.8M
Team size
56
Growth
33.15%
8
BotMan

Bangalore, Karnataka, India

A Cloud-based Online Ad Fraud Detection Platform which helps detect Invalid Ad Traffic, Leads and classifies them. It helps Mitigate Risk, Clean Traffic Sources & Suppliers, Improve Quality of Ad Traffic & Leads, and thereby returning robust KPIs Improves Revenues.

Revenue
$2.8M
Customers
-
Year founded
2017
Funding
$201.2K
Team size
19
Growth
73.23%
9
fraud0.com

United States

Up to 25% of your marketing budget is wasted on bots and invalid traffic. fraud0 helps you to detect and mitigate bots in real time. Optimize your advertising campaign by protecting your audience and make smarter data-driven decisions.

Revenue
$2.5M
Customers
-
Year founded
2020
Funding
-
Team size
23
Growth
-
10
Anura

Middletown, Delaware, United States

Founded by husband and wife team, Rich and Beth Kahn, Anura is an ad fraud solution designed to improve campaign performance by accurately exposing bots, malware, and human fraud. The couple, who owned a company that was featured in the Inc. 5000 list five years in a row, have a long track record of entrepreneurial success—including earning an Ernst & Young entrepreneur award in technology. Anura’s solution mitigates ad fraud allowing advertisers to invest more resources towards growing their business. The Anura solution works to eliminate false positives by only marking visitors as fraudulent when it is 100% confident the visitor isn’t real. Benchmarked against validated conversion data, Anura is able to ensure the accuracy and thoroughness of the solution. Anura also offers the most detailed analytics dashboard to provide the proof of fraud. With a combination of machine learning and experienced engineers, Anura can detect even the most sophisticated fraud techniques in real-time.

Revenue
$2.3M
Customers
-
Year founded
2017
Funding
-
Team size
21
Growth
-

Inclusion Criteria

- Must provide detection capabilities for click fraud originating from bots or malicious users. - Should include real-time monitoring and reporting functionalities. - Must offer analytics features to analyze click patterns and provide insights. - Should be capable of integrating with major advertising platforms. - Not just a basic analytics tool; must also actively block or mitigate identified fraud.

Click Fraud Software SaaS Companies | GetLatka