In 2025, artificial intelligence (AI) is deeply embedded in various industries, with Statista predicting the AI market size to reach a staggering $243 billion this year – the highest value ever recorded. Furthermore, the data analysis platform anticipates an impressive annual growth rate of 27.67%, projecting a market volume of $826 billion by 2030. More than a decade ago, three tech enthusiasts – Augustin Marty, Aloïs Brunel, and Vincent Delaitre – envisioned how AI and automation could significantly benefit companies managing critical infrastructures. This vision led to the founding of Deepomatic, a company that has since been instrumental in revolutionizing telecom field operations through the application of AI.
The Vision Behind Deepomatic
Deepomatic’s primary focus is the development of a computer vision platform tailored for image recognition, aimed at automating processes essential for operational efficiency. CEO Augustin Marty articulates this vision succinctly, stating, “Deepomatic was founded with a clear vision: process automation is essential for achieving operational efficiency. As businesses scale, manual processes can no longer sustain the demands of today’s fast-paced economy.”
The early years of Deepomatic involved partnerships with businesses across multiple sectors, focusing on leveraging images and photos as data to automate various business processes. Images analyzed through advanced image recognition software drive automation and streamline numerous tasks, placing Deepomatic in an advantageous position within the telecom sector. Marty reflects on a pivotal moment during the rollout of fiber optic networks in France. Quality issues were rampant, leading to consumer dissatisfaction and unreliable networks. Recognizing this as an opportunity, Deepomatic made its first breakthrough by addressing quality control in the telecom sector, specifically focusing on fiber connection, which secured them their first clients in France.
Expanding Success in Telecom and Beyond
Deepomatic’s success didn’t stop there. The company continued to leverage image analysis for evaluating photos taken by field technicians during fiber network operations, thereby automating quality control processes and ensuring superior fieldwork outcomes. This success enabled the platform’s adaptation for other telecom use cases such as fiber network construction and deployment, as well as in the energy sector for smart meter installations. Today, Deepomatic is an international tech player with a significant footprint across multiple markets in Europe and North America. Marty proudly states, “Deepomatic has built a community of prominent client companies that are now leaders in leveraging AI to optimize field operations.”
Despite its accomplishments, Deepomatic has not rested on its laurels. The company has continued to innovate by introducing a new software category known as “First Time Right Automation.” This category places AI at the heart of operational excellence by emphasizing quality in every field operation. Network operators, in particular, benefit from Deepomatic’s innovative solutions and expertise. Marty explains that operators face immense pressure to deploy fiber networks quickly amidst a shortage of experienced field staff. As senior employees retire, recruiting skilled replacements becomes increasingly challenging. This shortage, combined with the need for speed, threatens the quality of network deployments.
Addressing Quality Control Challenges
Currently, many operators rely on manual quality control processes, where audits are conducted days or even weeks after the work is completed. Marty reveals that, on average, only 10% of operations are inspected, leaving numerous errors undetected and driving up costs due to human labor and the necessity for costly revisits to correct mistakes. Deepomatic addresses this issue by introducing AI solutions that can automate 100% of quality checks for fiber network construction and operations. By analyzing photos taken during fieldwork, the system provides instant feedback to technicians, allowing them to make necessary adjustments on-site. This ensures that quality standards are met at scale, operational costs are reduced, and delays caused by manual audits are eliminated.
In addition to enhancing quality control processes, Deepomatic’s platform also simplifies various administrative tasks for growing operators. Chief Product Officer (CPO) Aloïs Brunel highlights an example with Swisscom, where Deepomatic’s AI platform automates the payment of subcontractors. Once the AI verifies the work completed by field technicians, payments to subcontractors are automatically processed. This seamless process ensures that compensation is triggered upon receipt of verified proof of quality work, exemplifying the broader benefits of Deepomatic’s automation capabilities.
Diverse Applications and User Benefits
AI has revolutionized various sectors by optimizing operations, enhancing efficiency, and driving innovation. For instance, in telecom, AI helps in predictive maintenance, network optimization, and customer service automation. Companies like Deepomatic are at the forefront, leveraging AI to streamline processes and reduce operational costs. The influence of AI is not limited to telecom; healthcare, finance, and manufacturing sectors are also experiencing significant advancements due to AI integration. The future promises even more breakthroughs as AI technology continues to advance, making it an indispensable tool for industries worldwide.