With 62 employees and €7.8M in revenue, Deepomatic has achieved a remarkable €126K revenue per employee—exceptional for an AI infrastructure company. Their traffic patterns reveal a classic enterprise playbook: 40% direct traffic means decision-makers are bookmarking them, not discovering them. The 45% organic search is driven by a specific keyword moat: 'deepomatic' itself gets 410 monthly searches, while broader terms like 'computer vision' (36K searches) and 'image recognition' (4.6K searches) feed the top of funnel. But here's the telling data point: their second most valuable keyword isn't even theirs—it's 'sfr' with 297K monthly searches. Deepomatic's actual customer (SFR) generates 75x more search volume than their own brand name. This is the ultimate validation: they're so embedded in enterprise workflows that their clients' search volume becomes their lead gen engine.

Look at their tech stack: Next.js on Vercel, Bootstrap with DaisyUI, Google Analytics and Tag Manager, plus Microsoft Ads and Google Ads. This isn't a startup throwing spaghetti at the wall—this is a disciplined infrastructure play. They're using 'offline AI' (1.6K monthly searches) as a key differentiator, solving the real-world problem that breaks most computer vision deployments: what happens when you're in a basement with no connectivity? Their stack suggests a company that has product-market fit and is optimizing for scale, not experimentation. The HSTS and security headers indicate they're enterprise-ready from the ground up. But the traffic numbers tell a different story: 2,950 monthly visits and a global rank of #5.6M is shockingly low for a company of this revenue. This isn't a failure—it's a signal. Deepomatic isn't playing the volume game; they're playing the value game. They don't need 100,000 visitors; they need 100 qualified enterprise buyers who understand that computer vision infrastructure is a multi-million dollar decision, not a weekend project.