Trivium’s Industrial AI Strategy
AI is reshaping industries such as manufacturing, energy, and infrastructure. AI agents will play a critical role in how we create, develop, and operate digital products in the future. In this video, our CEO, Nikhil Nakra, discusses how Trivium is prepared to design AI-powered applications and empower our teams.
GenAI Use Cases for infrastructure and industry
GenAI is being introduced at all our customers to accelerate automation and support digital processes. Here are some of the most compelling use cases:
Optimized Service and Maintenance
Provide real-time chat-based guidance to maintenance engineers on the shopfloor
Predictive Maintenance optimization
Provide natural language explanations to maintenance predictions and improve models
Real-time decision support
Support operator decision-making by providing next-best-action recommendations
Energy and efficiency optimization
Simulate and predict energy consumption trends, make recommendations for optimization
Enhanced anomaly detection with Machine Vision
Explain detected anomalies in plain language, identify root causes and propose corrective actions
Sales recommendations
Create a recommendation engine for complex industrial products or solutions
Product configuration and order entry automation
Automate complex product configuration and order entry processes by pre-filling models and forms
Bid creation automation
Support automating creation of proposals or bids for complex infrastructure projects or industrial systems
GenAI for service and maintenance processes
The optimization and digitalization of service and maintenance processes is a central goal of Industry 4.0 initiatives. Generative AI has the potential to change the way service and maintenance tasks are carried out in a very positive way. Service technicians are often confronted with extensive product documentation - manuals, operating instructions and user guides. Searching for specific information in this extensive knowledge base is often time-consuming and hinders the smooth use and maintenance of products.
To meet this challenge, our approach uses Large Language Models (LLM) to extract relevant information quickly and intuitively. This dynamic system responds immediately to user queries and ensures fast access to the required information from your own extensive knowledge base. Whether the user requires information on product functionality or service issues, our innovative solution aims to streamline the entire process while protecting the intellectual property of internal documentation.
Machine Learning and Machine Vision
Trivium combines deep expertise in Machine Learning and Machine Vision to build intelligent solutions that transform data into actionable insights and automation. Our systems interpret data, recognize patterns, and enable real-time, data-driven decision-making across industrial, energy, and infrastructure domains.
We design and implement end-to-end AI pipelines – from data ingestion and model training to deployment on edge and cloud environments. Our capabilities include predictive analytics, natural language processing, image and video analysis, object detection, and automated quality inspection. These technologies support use cases such as process optimization, anomaly detection, defect classification, and autonomous system control.
By combining advanced algorithms with Trivium’s deep domain knowledge in industrial systems, IoT, and software architecture, we deliver scalable, high-performance AI solutions. These solutions help our clients improve operational efficiency, enhance product quality, and create new, data-driven business models – enabling intelligent, adaptive operations in the era of Industry 4.0.