Make your supply chain & manufacturing smart with AI-powered industrial IoT analytics
Get StartedMake your supply chain & manufacturing smart with AI-powered industrial IoT analytics
Make your supply chain & manufacturing smart with AI-powered industrial IoT analytics
Industries thrive on interconnected processes and systems brought about by Industrial IoT and Industry X.0, where integrating digital technologies like AI and IoT analytics at every step of the process, results in better efficiencies. But piece-meal automation and digitization leave them operating in silos. The unintegrated data and applications result in less than useful outcomes and diminishes your system-wide visibility and control. In addition, inefficiencies in your manufacturing nodes restrict your ability to make informed decisions.
To realize the true value of your supply chain transformation investments, Tredence helps you unify and leverage cyber-physical systems across your manufacturing value chain. We empower businesses to integrate the physical with the digital and lead high-impact and focused Industry X.0 initiatives and Industrial IoT solutions with digitization as the means, and dramatic efficiency boosts as the ends.
Our smart manufacturing, AIoT, Industrial IoT analytics experts identify gaps and opportunities in your ecosystem, benchmarking against the best-in-class reference frameworks and architectures. We build customized program and solution roadmaps, to help you create high performance, flexible manufacturing lines and unlock dramatic efficiencies.
Discover the most high-impact areas of AI applications in your smart ecosystem with expert help. Plug in our smart manufacturing solutions to start realizing impact quickly across areas like process optimization, asset maintenance & quality control. Our advanced AI driven solutions and services deliver a range of sustained benefits and enhance your ROI through intelligent, impact-centric design and implementation.
We help organizations develop and permeate the adoption of data engineering and AI/ML frameworks up to the last mile. To drive adoption and impact, we use a custom deployment approach, enabled on edge or on cloud, that delivers integrated insights tailored to different user personas. Our teams connect seamlessly with your operations & digital teams to onboard data to cloud, enable real-time monitoring, feedback loops, and full-stack applications.
Operations monitoring is an Industrial IoT platform that helps manufacturers gauge the holistic view of their current state and health of plant planning & operational performance in real time. It is a central cockpit where all metrics about manufacturing performance, including availability and uptime of assets, productivity of the plant and individual processes, and quality of output are made visible together. Identify gaps, get opportunity alerts, automate root cause analyses, solve problems in real time, prevent repetition with this solution.
Under or over quality can both have adverse cost and customer experience outcomes in this highly competitive landscape. Our AI based solution estimates product quality through a combination of feedback and feedforward loops - helping quality managers and plant operators to make timely operational interventions in near real time. These interventions help optimize energy consumption, reduce production costs that can shoot up due to quality overages.
Maintenance activities can become a problem when manufacturing teams spend 10-15% of their operations budget on them but still experience unexpected and unnecessary critical equipment failure. With our Predictive Maintenance solution, control your equipment's health in real-time by combining data from multiple sources, including energy consumption and sensor data. Our proprietary AI models identify anomalous patterns, root cause analysis highlights problem areas, and feedback loop on IoT Edge enables real-time prescriptive insights, so you can improve equipment uptime by 10% and reduce TCO by 4%.
Eliminate downtime and wastages due to suboptimal machine operations that lead to low productivity and increased operational costs. Leverage the power of advanced algorithms to analyze historical and live feeds from upstream processes and benefit from containerized deployment on Edge to streamline and accelerate AI model execution. Our real-time prescriptive recommendations, derived by generating and processing 40 GB data every day, reduce the number of stoppages by 25% and scrap by 15%.
With our data driven digital twins, set up a simple live semantic layer that abstracts all the plant's processes, on top of the operational complexities to monitor & improve performance by simulating potential scenarios and execution outcomes. Identify the best interventions to be activated and optimize them in real-time by leveraging AIoT frameworks.
Manage your edge solution efficiently with edgeOps to build and deploy through best-in-class architectures and govern through a comprehensive framework and tool. From cloud engineering, edge device management to edge AI workloads and OT connectivity, our accelerated edgeOps frameworks help customers scale solution deployments and orchestrate AI models on the edge and at scale within a matter of weeks.
Dedicated center of excellence (CoE) for A IoT, smart manufacturing,Edge AI Edge AI and digital twins
Deploy end-to-end, enterprise-grade AI-powered industrial IoT solutions for industry X.0 initiatives
Support in creating resilient cyber-physical frameworks & solutions for stable manufacturing operations
See how we are helping a major building materials major stabilize quality while reducing costs and greenhouse gas emissions.
Tredence is building an AI led application that provides guidance on refining process parameters to help quality managers and plant operators make timely interventions with a range of benefits.
23% reduction in unscheduled stoppages
15% reduction in WIP wastages
2% reduction in plant energy costs
AI based solution, developed on Azure – Databricks estimates the optimal starting parameters for the machine.
Delivers recommended parameters through the HMI to the mill operators. The solution implemented on edge, helps with real time machine operations optimization, resulting in mill uptime improvement through reduced stoppages & wastage. Also, consistent optimal parameters are delivered to the operators – irrespective of experience/ skillset.
23% reduction in unscheduled stoppages
15% reduction in WIP wastages
How we unlock business value from our services
IoT & Industrial IoT 101: Understanding the new-age enterprise in a measurable way
5 Reasons why we think Forrester named Tredence a ‘Leader’ in customer analytics services
XOps: The right approach for production business applications
