We detected 182 customers using Equally AI and 4 customers with estimated renewals in the next 3 months. The most common industry is Retail (12%) and the most common company size is 11-50 employees (26%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.
Note: We are unable to detect churned customers for this vendor, only new customers
About Equally AI
Equally AI provides automated compliance software that helps businesses make their websites accessible and meet ADA, EAA, and WCAG accessibility requirements through an all-in-one web accessibility platform. The solution enables organizations to achieve compliance with accessibility standards through simple, effective automated technology.
🔧 What other technologies do Equally AI customers also use?
Source: Analysis of tech stacks from 182 companies that use Equally AI
Commonly Paired Technologies
i
Shows how much more likely Equally AI customers are to use each tool compared to the general population. For example, 287x means customers are 287 times more likely to use that tool.
I noticed that Equally AI users are predominantly e-commerce and content-heavy companies that take compliance seriously. The combination of BigCommerce, Signifyd (fraud prevention), and multiple privacy/consent tools like Iubenda and Osano tells me these are businesses selling directly to consumers online. They're worried about legal exposure and want to check multiple compliance boxes at once, which is why accessibility fits naturally into their existing frameworks.
The pairing of Signifyd with Equally AI is particularly revealing. Companies using fraud prevention are processing significant transaction volumes and likely operating in regulated spaces where one lawsuit could be devastating. They're already in a compliance mindset. Similarly, the strong correlation with Iubenda and Osano shows these companies are managing cookie consent, privacy policies, and GDPR requirements. Accessibility is just another item on their compliance checklist. The Oktopost correlation suggests B2B e-commerce companies that need social media management for multiple accounts or regions, adding another layer of complexity to their operations.
The full stack reveals marketing-led companies in growth mode. Google Search Console appearing 130 times shows they depend heavily on organic traffic and SEO. They're not enterprise sales organizations with long deal cycles. Instead, they're driving customers to their websites and need those sites to be accessible, fast, and compliant. These are likely Series A to C companies or profitable bootstrapped businesses with enough revenue that legal risk matters but not so much budget that they can afford custom accessibility development.
👥 What types of companies is most likely to use Equally AI?
Source: Analysis of Linkedin bios of 182 companies that use Equally AI
Company Characteristics
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Shows how much more likely Equally AI customers are to have each trait compared to all companies. For example, 2.0x means customers are twice as likely to have that characteristic.
Trait
Likelihood
Country: IT
20.0x
Company Size: 51-200
3.7x
Country: US
3.3x
Company Size: 11-50
1.6x
I noticed that Equally AI's customers span an incredibly wide range of industries, but they share a common thread: they all have a direct relationship with end consumers or users. These aren't primarily B2B software companies. Instead, I'm seeing restaurants like Hawkers Asian Street Food and Zov's, healthcare providers like Bupa and Texas Dermatology, retailers from fashion brands like Murphy&Nye to furniture companies like Natuzzi, financial services firms, educational institutions, and hospitality businesses. What unites them is that they all need accessible digital experiences for diverse customer bases.
These are predominantly established, mature companies rather than early-stage startups. The employee counts cluster around 25-200 people, with several much larger enterprises mixed in like Bupa with 33,000+ employees and Trend Micro with nearly 8,000. Very few show recent funding rounds, and when they do, they're typically later-stage or modest amounts. Many have been operating for decades. This isn't the typical SaaS startup customer base.
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