Deepomatic

Deepomatic provides an AI-based computer vision platform designed to automate quality control and improve operational efficiency for field services. Founded in 2014 by Augustin Marty, Alois Brunel, and Vincent Delaitre, the Paris-based company initially aimed to create a 'Shazam for images' before pivoting in 2016 to a B2B SaaS model targeting enterprises. The firm was acquired by IQGeo in August 2025 to integrate AI capabilities into network management solutions.

The company's core product, now known as Deepomatic Lens, allows field technicians to capture photos of their work, which are then analyzed in real-time by AI to verify compliance and quality. This process, termed "First Time Right Automation," provides instant feedback to workers, allowing for on-the-spot corrections, reducing rework rates, and minimizing the need for manual inspections and administrative reporting. The platform is engineered to create custom visual automation applications without requiring data science skills from the user, analyzing millions of operations per month. It serves industries that rely on mobile workforces to maintain critical infrastructure, such as telecommunications, utilities, and green energy. Key clients include Bouygues Telecom, CityFibre, Swisscom, and Movistar.

Deepomatic's business model is subscription-based (SaaS), generating revenue by providing access to its platform that enhances productivity and ensures data integrity across field operations. The company has raised a total of approximately $19.7 million over multiple funding rounds, with significant investments from firms like EnBW New Ventures, Orbia, Hi Inov, Alven, and Swisscom Ventures, which has fueled its expansion into North America, Europe, and Latin America.

Keywords: computer vision, visual automation, field service management, AI platform, quality control automation, infrastructure maintenance, telecommunications, utilities, asset management, image recognition, deep learning, mobile workforce, network operations, First Time Right, data integrity, operational efficiency, SaaS, predictive maintenance, quality assurance, geospatial AI, digital twin