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Top 26 Disinformation Detection Tools SaaS Companies in May 2026

As of May 2026, there are 26 SaaS companies in Disinformation Detection Tools. They have combined revenues of $148.9M and employ 1.1K people. They have raised $5.9M and serve - customers combined.

Disinformation detection tools are specialized software designed to identify and counteract misleading or false information, often disseminated through digital channels. These tools utilize advanced algorithms and artificial intelligence to analyze text, images, and videos, looking for patterns that indicate potential disinformation. Common use cases include monitoring social media platforms, verifying the authenticity of news articles, and supporting organizations in crisis communication efforts by identifying and mitigating false narratives. The primary features of disinformation detection tools typically include real-time monitoring, threat intelligence, and automated fact-checking capabilities. These tools may also incorporate machine learning techniques to improve their accuracy over time, enabling organizations to better understand the sources and impact of disinformation campaigns. Typical users of these solutions include communications professionals, media organizations, and governmental agencies looking to protect public information integrity and ensure a reliable flow of news. Additionally, many disinformation detection tools are employed in sectors such as education and public safety to promote accurate information dissemination. They provide essential insights for decision-makers by highlighting trends in misinformation and helping organizations develop strategies to engage effectively with their audiences and reduce the spread of harmful content.

Companies
26
Revenue
$148.9M
Funding
$5.9M
Employees
1.1K

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Top Disinformation Detection Tools Companies

Showing 10 of 8 companies ranked by annual revenue.

1
Musubi

Santa Barbara, California, United States

Musubi's AiMod is a first-of-its-kind trust & safety solution built on adaptive AI to defend online communities from scam, spam, and fraud. Rather than leverage general-purpose risk models, Musubi implements customer-specific AI models that use advanced AI and machine learning techniques, including large language models (LLMs) and generative AI, to understand complex behavioral signals and content patterns of malicious users. This allows Musubi to proactively identify and mitigate a wide range of issues, including spam, scams, fraud, hate speech, harassment, and age-inappropriate content.

Revenue
$990K
Customers
-
Year founded
2023
Funding
-
Team size
9
Growth
-
2
AI or Not

Alameda, California, United States

AI or Not is an AI detector trusted by 200k+ users that checks for AI generated content in images, audio, KYC identity documents and more. We're building AI to detect AI and help businesses stop fraud, power content moderation and prevent KYC scams.

Revenue
$660K
Customers
-
Year founded
2023
Funding
-
Team size
6
Growth
-
3
FixFake

New York, New York, United States

FixFake is the decentralized image verification platform built by the world's computer vision specialists to prevent fraud.

Revenue
$640.7K
Customers
-
Year founded
2020
Funding
$100K
Team size
37
Growth
39.91%
4
TrueBees

Tallinn, Estonia

We offer the best deepfake detection service on the market. Built on top of 15+ years of research in digital forensics and AI, offered to you as a SaaS.

Revenue
$550K
Customers
-
Year founded
2024
Funding
-
Team size
5
Growth
-
5
Scanii

Phoenix, Arizona, United States

Identify unsafe content in milliseconds.

Revenue
$420K
Customers
-
Year founded
2011
Funding
-
Team size
1
Growth
-
6
Vistalworks

Glasgow, Scotland, United Kingdom

Vistalworks technology detects and alerts on illegal products and harmful content traded on mainstream marketplaces, search engines and social media. We have solutions for law enforcement, regulators and private sector digital platforms and marketplaces. And our products are also available through Microsoft's Azure Marketplace. Because 38% of reported scams involve online shopping, and illicit trade depletes 3% of global GDP each year, digital platforms and online marketplaces can now be fined up of to 6% of global revenues if they don’t act to prevent harmful goods and content. Vistalworks has created intelligence software that protects the trust and reputations of platforms, reducing their exposure to crime and risk of prosecution. Because we have a specialist view of threats across multiple platforms and legal jurisdictions, we can start detecting indicators of illegal activity immediately. Our intelligence software detects, prioritises and alerts on hard to spot threats before they get out of hand. And our self-learning technologies continually adapt as criminal traders attempt to evade detection. Don’t give criminals a foothold onto your platform. Don’t be part of the problem. Continual pro-active action is required to stay ahead of the evasive and adaptive threats of illicit trade. Vistalworks can completement and enhance existing trust and security activities and help regain marketplace integrity if required. Please do get in touch to find out more.

Revenue
$330K
Customers
-
Year founded
2019
Funding
-
Team size
3
Growth
-
7
Nuanced, Inc.

, United States

Nuanced detects AI fraud, deepfakes, and misinformation.

Revenue
$330K
Customers
-
Year founded
2023
Funding
-
Team size
3
Growth
-
8
KillSpam

United States

KillSpam uses AI to detect scammers and spam content from all your YouTube Channels, and removes them automatically.

Revenue
$318K
Customers
-
Year founded
2022
Funding
-
Team size
-
Growth
-

Inclusion Criteria

- The product must utilize advanced algorithms or artificial intelligence for detecting disinformation. - It should support real-time monitoring of content across various digital platforms. - The tool must include automated fact-checking capabilities to verify claims against reliable sources. - It should provide threat intelligence to identify and analyze the sources of disinformation campaigns. - Target users must include communications professionals, compliance teams, or information security personnel. - Not just focus on a single type of content (e.g., text only); must also analyze multimedia formats like images and videos.