FTTx operators increasingly rely on shared passive infrastructure to build out their networks. Inveniam’s AI can help to ensure compliance with specific quality standards and photographic obligations. Reduce the number of people needed to prepare or review photographic evidence and speed up the sign-off process for both parties, avoiding unnecessary delays and costs for non-compliance, penalties or site revisits.
Our computer vision solution optimises the asset quality control process at build completion, enabling you to streamline your site survey checks. Detecting and resolving issues when your engineer is onsite also eliminates rework and network roll-out delays, both of which are vital in the race to win new fibre customers.
Our mission is to empower field agents to resolve faults on the first visit, eliminating the need for an additional site visit or truck roll. Crucial for meeting SLAs, reducing time to repair and ensuring customer satisfaction, our computer vision solution identifies potential issues and proposes step-by-step instructions to resolve them, which is particularly helpful for newer engineers with less experience.
Inveniam's computer vision solution can support retrospective documentation and auditing of as-built networks. Reviewing photos is resource intensive, often limiting checks to a small network sample. Our solution enables you to audit build quality across your network footprint, leaving your team to focus on edge case reviews and other priority tasks.
Through historical data analysis of images and videos, our trained AI models can monitor the condition of equipment and predict when maintenance is required. We identify when components will likely fail or degrade by analysing visual data and patterns. Enabling maintenance to be scheduled proactively reduces unplanned downtime, fix times and overall customer disruption.
Inveniam AI integrates into existing processes and workflows
Let’s explore the possibilities.
Inveniam - 78 Avenue des Champs Elysées
75008 Paris France
