Companies that use Seon

Analyzed and validated by Henley Wing Chiu

Seon We detected 24 companies using Seon, 5 companies that churned, and 1 customers with upcoming renewal in the next 3 months. The most common industry is Gambling Facilities and Casinos (33%) and the most common company size is 11-50 employees (38%). We find new customers by detecting JavaScript snippets or configurations on customer websites. Note: We can't detect customers with API-only implementations or using it in mobile apps only (edge cases)

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Company Employees Industry Country Region Usage Start Date
World Sports Betting 501–1,000 Gambling Facilities and Casinos
ZA South Africa
Africa 2025-10-17
IUX 51–200 Financial Services
AU Australia
Oceania 2025-09-11
GRADE MOBILE 11–50 Computers and Electronics Manufacturing
GB United Kingdom
Europe 2025-06-06
Atlantic City Casino & Sports 1,001–5,000 Entertainment Providers
PE PE
South America 2025-04-30
Moonrail Limited 11–50 Gambling Facilities and Casinos N/A N/A
Palmerbet 11–50 Gambling Facilities and Casinos
AU Australia
Oceania
WINBET Romania 201–500 Gambling Facilities and Casinos
RO RO
Europe
buycycle. 51–200 Online and Mail Order Retail
DE Germany
Europe
Online BigBola 11–50 Technology, Information and Internet
MX Mexico
North America
CSGORoll 11–50 Computer Games
CY CY
Europe
RedBlack 2–10 Apparel & Fashion
BD BD
Asia
500 Casino 11–50 Gambling Facilities and Casinos
CW CW
South America
Skyflow 51–200 Data Security Software Products
US United States
North America
KMSK DEINZE 11–50 Spectator Sports
BE Belgium
Europe
alfcasino.com 2–10 N/A N/A N/A
Lottoland 501–1,000 Entertainment Providers
GI GI
Europe
csgoempire.gg 2–10 N/A N/A N/A
csgoempire.tv 2–10 N/A N/A N/A
PRO360達人網 11–50 Human Resources
TW TW
Asia
Currency Solutions 51–200 Financial Services
GB United Kingdom
Europe
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Market Insights

🏢 Top Industries

Gambling Facilities and Casinos 7 (33%)
Financial Services 3 (14%)
Entertainment Providers 2 (10%)
Apparel & Fashion 1 (5%)
Computer Games 1 (5%)

📏 Company Size Distribution

11-50 employees 9 (38%)
51-200 employees 6 (25%)
2-10 employees 4 (17%)
501-1,000 employees 3 (13%)
1,001-5,000 employees 1 (4%)

👥 What types of companies use Seon?

Source: Analysis of Linkedin bios of 24 companies that use Seon

I noticed that Seon's customers operate predominantly in high-risk transaction environments where fraud is an existential threat. The majority are gambling and betting operators, offering online casinos, sports betting, and gaming platforms. Several are cryptocurrency or fintech companies handling currency exchanges and digital payments. These aren't companies selling physical products. They're processing thousands of daily transactions from anonymous or semi-anonymous users where a single fraud ring could devastate their business model.

The companies span a wide maturity range. LeoVegas Group employs over 1,400 people and is backed by MGM Resorts, clearly a mature enterprise. Atlantic City Casino has 1, employees and 28 years of history. But many are smaller, growth-stage operations like Palmerbet with just 25 employees despite being third-generation, or newer entrants like SpinBet established in 2021 with 55 employees. The common thread isn't their size but their growth trajectory in regulated, high-risk markets.

🔧 What other technologies do Seon customers also use?

Source: Analysis of tech stacks from 24 companies that use Seon

Commonly Paired Technologies
i
Technology
Likelihood
76.3x
21.6x
14.8x
9.3x
I noticed that Seon users overwhelmingly rely on web analytics and conversion optimization tools, which tells me these are growth-focused digital businesses obsessed with understanding user behavior. The combination of Microsoft Clarity, Cloudflare, and Facebook Ads suggests companies that are actively acquiring customers online and need fraud prevention as part of their conversion funnel.

The pairing of Microsoft Clarity with Seon makes immediate sense. Clarity shows how users interact with websites, and Seon identifies fraudulent ones. These companies want to optimize for legitimate conversions while blocking bad actors. The Cloudflare correlation is equally telling. These businesses handle enough traffic and face sufficient security threats that they need both infrastructure protection and transaction-level fraud detection. Meanwhile, Facebook Ads appearing 14.8 times more frequently reveals these companies are spending serious money on paid acquisition, which means fraud prevention directly impacts their ROI. Every fake signup or fraudulent transaction wastes ad spend.

The full stack reveals marketing-led companies in active growth mode. They're spending on customer acquisition, carefully tracking performance, and protecting their funnels from fraud that would corrupt their metrics and waste budget. These aren't early-stage startups figuring out product-market fit, nor are they enterprise sales organizations. They're likely Series A to C companies or profitable bootstrapped businesses running performance marketing at scale. They need real-time fraud detection because they're processing high volumes of signups or transactions.

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