NetLux AI
Explainer: AI-powered quality control for telecom operators
Intelligent visual QA to strengthen fiber rollout operations.
Discover how telecom field teams use visual AI to spot defects instantly, ensure build-quality compliance, and streamline fiber rollout operations. See how automated photo validation improves accuracy, reduces rework, and accelerates project close-outs across large-scale networks.
*IQGeo Deepomatic Lens is now known as NetLux AI.
View transcript
Hey there. If you're in charge of fiber rollout and network operations and you're looking to get 100% of your field operations checked in real time, then bear with me. Hi, I'm Greg and I'd like to show you how you can overcome quality control issues in the field and automate back office processes to scale fiber deployment easily and accelerate time to revenue. Today, with BEAD funding approved across all states, like many construction and field operations leaders, you're probably under high pressure to deliver quality networks, and you're going to be able to help you to help you. within budget and connect new subscribers fast. And you know that the path forward is fraught with challenges. First, state and local authorities are watching, and mistakes can mean even more expensive passings, delayed network delivery, longer time to revenue, or even revoked permits and lost funding. Second, the current situation is worrying. 5 to 15% of network built jobs fail inspections. Crews must revisit sites to correct mistakes, update documentation, or rework entire jobs, an expensive, time-consuming setback. Worst, sometimes less than 10% of jobs are audited, leaving many mistakes unnoticed, like poorly tagged lines, messy slack loops, shallow trenches, or twisted cables. And, unfortunately, the challenges don't stop when the networks go live. Up to 20% of new customer installs fail on the first attempt, whether at the drop or inside the premise, forcing additional visits. 70% to 80% of connections fall short of compliance standards, laying the groundwork for future failures. With these persistent and systemic issues come additional pains. Construction crews spend too much time on documentation, relying on fragmented paper forms and outdated systems. This lack of easy and accurate reporting, centralized as-built or handover documentation, creates inefficiencies and even compliance risks, particularly when municipalities and states require transparency to justify subsidies for fiber rollouts. As a network operator, how do you manage contractor payment and penalties without reliable field data? How do you plan for future tasks or maintenance when there's a gap between field operations and inventory systems? One thing is for sure. Quality control processes are failing to support the business and ultimately hurts your bottom line. Too long to deploy, long time to revenue. Too many reworks and repeat visits equals cost inflating and margins shrinking. Poor service experiences equals customer churn. And yet, you've invested in various solutions to manage your field work or audit your contractor's work and address quality in field operations. Field inspections, for example, are costly and hardest to scale, at most reaching 10 to 20% of operations, depending on the size. This limited scope means your quality and compliance teams can only examine a small sample of the overall work. Any issues are caught after the work has been done, making it too late to assign responsibility or issue penalties, leading to costly rework and wasted resources. Another common practice involves asking technicians to capture photos of their work for back office review. A back office team is then required to review samples of photos that are often incomplete, unclear, or unusable. And the many duplicates can lead to your team spending wasted time reviewing them. The result? Inefficiencies at every stage, from the field to the back office. Field service management tools provide valuable support for dispatching, scheduling, and work orders. But they don't offer real-time visibility or control over the quality of field operations and provide no additional help with quality control. While helpful, these tools often fall short where scalability matters most. Okay, now it's time to tell you about first-time right automation and how quality control can become an accelerator to boost your productivity painlessly. At Deepomatic, we get it. Telecom field operations face tough challenges every single day. That's exactly why we've built a solution designed with you in mind. Over 30,000 field technicians use our solutions daily for different stages of the network lifecycle. Our off-the-shelf, easily configurable solution is specifically designed to streamline your quality control processes without placing additional burdens on your technicians or on quality and compliance teams. Let's see how you can take advantage of this solution. Deepomatic leverages AI-powered image recognition to audit any field jobs and guide technicians towards successful test completion. Technicians simply take photos defined for each type of work and the system immediately validates it or flags any issues before they even leave the site. This real-time verification works offline, enabling first-time right operations in every circumstance, reducing costly revisits, ensuring superior quality, and a systematic documentation of your entire network. To guarantee the integrity of these checks, our platform includes automatic detection of poor quality photos and even identifies potential fraud attempts, reinforcing the reliability of the validation process. Beyond real-time checks, our solution features a robust field intelligence module. This provides back-office teams with a visual record and AI-analyzed data, creating a searchable history of build information accessible on demand. Deepomatic covers the entire FTTX journey, from the central office to the customer's home, addressing both fiber rollout and installation use cases. Thanks to a seamless integration with your field service management apps, our platform ensures every fiber installation is accurately documented and comprehensively managed. Of course, you could consider building a similar in-house AI solution. While this may seem appealing for its customization potential, the reality is far more complex and costly. Developing a sustainable AI-powered platform requires a robust data pipeline and vast amounts of annotated trading data. Coordination across specialized roles, data scientists, engineers, developers, and more. Continuous monitoring, retraining, and system integration to manage real-world variability. These projects are not only resource-intensive, but also prone to delays and breakdowns. Unlike traditional IT projects, AI solutions require long-term planning to address data drift, evolving conditions, and scalability issues. Even major investments in cloud platforms like Google or AWS won't resolve the hidden costs of maintenance and support. With Deepomatic, you avoid the pitfalls entirely. Our turnkey platform is the result of years of R&D, purpose-built for the telecom industry. You get the benefits of a robust, scalable solution without the delays, risks, or hidden costs of building in-house. It's probably why Deepomatic is trusted by some of the biggest names in the telecom industry, including Vodafone, Altus, Virgin, and more than 20 major telco players. If you'd like to discover more about first-time right automation, we would be more than happy to walk you through a personalized assessment of the ROI you can expect when implementing Deepomatic and see a demo of the solution. Just click the Book Your Free Consultation button and secure your session now. We look forward to working with you.



