Computer vision Startups
4 case studies with real revenue and traction data from computer vision startups.
Vik Singh and Danny Ryan are building an AI-powered automation platform in stealth mode that applies self-driving car vision technology to automate computer tasks and business processes. Their first killer application is automating expert research and due diligence by replacing expensive consulting firms, helping companies find and schedule meetings with target contacts at a fraction of the cost. They have tens of customers including companies with over $10 billion in capitalization, bootstrapped with personal capital from previous acquisitions, and are considering raising capital in the near future.
DID is a SaaS platform founded in 2017 by Gil Perry and co-founders Eliran Kuta and Sela Brondheim that started in privacy/face recognition protection before pivoting to an AI face platform for creating synthetic videos for media and entertainment. The company has raised $24 million, serves dozens of enterprise customers with ACVs exceeding $100,000, and recently launched with MyHeritage which generated 80 million API calls in two months. With a team of 24 (14 engineers) and strong inbound demand from PR success, DID is positioned to scale further and raise another round of funding.
Joe Coll is a 25-year-old founder who built Pulse, an AI-powered SaaS platform that predicts emotional responses to ad creative with 97% accuracy before publication. He bootstrapped the business with over £1.48 million of his own capital from his successful marketing agency (Oncore), which generates over £1M in revenue annually with 25 employees. With 50 users in beta testing and pricing ranging from £500-£5,500/month, Pulse is preparing to launch paid offerings and raise a Series A round in early 2022.
Artial is an AI-driven autonomy software platform for drones, founded by 24-year-old Igor Fali, a former AI tech lead in robotics and computer vision. The company raised $500,000 pre-seed (at a valuation under $5M) and is building software that adds intelligent obstacle avoidance and autonomous navigation to drone platforms for urban safety, inspection, and logistics applications. They're currently in their first customer deployment with a prominent US drone manufacturer, targeting 20-25 drones in real-world testing, with plans to hit $100,000 in total revenue by December.