Companies that use Wolfia

Analyzed and validated by Henley Wing Chiu
All security compliance Wolfia

Wolfia We detected 12 companies using Wolfia and 1 companies that churned. The most common industry is Software Development (73%) and the most common company size is 11-50 employees (27%). We find new customers by discovering internal subdomains and certificate transparency logs. Note: We only track when a company decides to use the Trust Center feature for Wolfia

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Company Employees Industry Country Region Usage Start Date
Pin.com - AI Recruiting source 2–10 Software Development
US United States
North America 2026-02-13
Cobrainer source 51–200 Software Development
DE Germany
Europe 2026-02-09
Noota source 11–50 IT Services and IT Consulting
FR France
Europe 2026-01-15
Bretton AI source 11–50 Technology, Information and Internet
US United States
North America
Infinite source 2–10 Financial Services
US United States
North America
LILT AI source 201–500 Software Development
US United States
North America
Miro source 1,001–5,000 Software Development
US United States
North America
Solve Intelligence source 11–50 Software Development
GB United Kingdom
Europe
ThoughtSpot source 501–1,000 Software Development
US United States
North America
Amplitude source 501–1,000 Software Development
US United States
North America
Anyscale source 201–500 Software Development
US United States
North America
Showing 1-20

Market Insights

🏢 Top Industries

Software Development 8 (73%)
Financial Services 1 (9%)
IT Services and IT Consulting 1 (9%)
Technology, Information and Internet 1 (9%)

📏 Company Size Distribution

11-50 employees 3 (27%)
2-10 employees 2 (18%)
201-500 employees 2 (18%)
501-1,000 employees 2 (18%)
1,001-5,000 employees 1 (9%)

👥 What types of companies use Wolfia?

Source: Analysis of Linkedin bios of 12 companies that use Wolfia

I noticed that Wolfia's customers are predominantly B2B software companies building AI-powered productivity tools for knowledge workers and enterprises. These aren't consumer apps or hardware makers. They're creating platforms that help other businesses work smarter: career networks, recruiting tools, compliance automation, translation services, analytics platforms, and collaboration software. The common thread is that they're all selling software that promises to make complex professional workflows faster and more efficient.

These companies span a wide growth spectrum, but most are in the scaling phase. I see a cluster of well-funded growth-stage companies like Handshake (Series F, $200M), Miro (Series C, $400M), and ThoughtSpot (secondary market, $100M) alongside earlier-stage startups like Pin.com (Seed, $3M) and Bretton (Series A, $15M). Employee counts range from tiny teams of 13-20 people to mid-sized organizations of 500-2,000+. The fact that many list significant funding rounds and tie-ups with Fortune 500 clients suggests these are companies experiencing rapid growth and navigating the complexities of scaling.

🔧 What other technologies do Wolfia customers also use?

Source: Analysis of tech stacks from 12 companies that use Wolfia

Commonly Paired Technologies
i
Technology
Likelihood
4121.7x
3549.7x
2837.7x
1250.3x
564.4x
339.8x
I noticed that Wolfia users are predominantly early-stage tech companies with a strong engineering-first culture. The presence of Cursor (an AI-powered code editor) alongside MCP and other developer tools tells me these are companies betting heavily on cutting-edge development practices and AI tooling. They're building products where speed and technical sophistication matter more than established enterprise processes.

The combination of Ashby and Golinks is particularly revealing. Ashby is a modern, data-driven recruiting platform favored by fast-growing startups, while Golinks creates internal shortcuts for company resources. Together, they suggest companies scaling quickly and obsessed with efficiency, even in non-product functions. When I see Stripe appearing this frequently, it confirms these are product-led companies building directly monetizable software, not service businesses or agencies. Reddit Ads is an interesting addition because it suggests a willingness to experiment with non-traditional marketing channels rather than defaulting to Google or Facebook.

My analysis shows these are firmly product-led growth companies in the seed to Series B range. They're not sales-led because the stack lacks traditional CRM or sales enablement tools. Instead, the focus is on building fast, recruiting talented engineers, and experimenting with distribution channels. The presence of developer-first tools like Cursor and MCP suggests engineering teams with significant autonomy and budget authority. These companies likely have technical founders who prioritize tooling investments that increase developer productivity.

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