Dingo's TRAKKA is an end-to-end predictive maintenance software solution for asset-intensive industries. This platform provides tools, insights, and decision support for enhancing asset health programs. TRAKKA unites existing processes and systems into a single workflow management platform which optimizes resource utilization, boosts visibility, and couples departments for improved collaboration. The service is designed to increase availability, extend the life of assets, and reduce maintenance and replacement costs. Dingo's TRAKKA integrates seamlessly with existing systems and IT infrastructure to analyze condition-monitoring data, identify problems, and advise on corrective actions.

Augury's Process Health employs AI to optimize production lines, addressing inefficiencies, and preventing production losses to aspects like quality, throughput, yield, and waste. The solution assists in achieving new efficiency levels, maximizing yield and productivity, reducing downtime, and enhancing sustainability. It also supports team collaboration and ensures safety. The Process Health system works in three main steps: Diagnose—to understand and tackle process inefficiencies; Optimize—utilize AI for optimal process settings; Act—Evaluate improvements over time and adapt to changing demands. The solution has helped businesses save significant amounts, reducing waste by 37% in a few cases.

Augury's Machine Health Solutions effectively predict and prevent machine failure, reducing maintenance costs while employing the Internet of Things (IoT) and Artificial Intelligence (AI). The solution delivers real-time visibility into any equipment, providing direct insights for improving machine performance and plant efficiency. It's developed to prioritize and plan actions, accomplish quick, actionable diagnostics, reduce downtime, optimize asset care, and transform how teams work. To date, it has serviced over 100k machines and monitored over 300 million machine hours, translating into considerable operational improvements and fast expansion.

Bsquare's device management solution can remotely manage assorted devices confidently. It allows users to send instant alerts, diagnose and fix issues, and schedule and deploy updates. The innovative foundation of this remote management system is SquareOne. It provides detailed health information for each device and group, and the data and thresholds can be customized. The package management feature is beneficial for new software distribution and tracking deployments. Coupled with remote recovery capabilities powered by Intel vPro, Bsquare's solution mitigates expensive technician visits and prevents no-fault-found scenarios.

Canvass AI Software is a comprehensive solution targeting industrial decision-making by mining, understanding, and operationalizing data. Users can effortlessly connect and ingest various data types, ranging from industrial to lab records. The software allows for quick data visualization and contextualization, enabling the formulation of precise models for problem-solving. This real-time application of AI improves operations either via open or closed-loop configurations. The platform also enables the creation of custom tags for focused visualization and reporting, offering simple-to-use, guided workflows ensuring an iterative, secured, and impactful AI application in industrial settings.

Falkonry has created an AI-driven solution aimed at enhancing operational reliability for pharmaceutical companies. By combining digital technologies such as AI-powered analytics and automation, it allows these businesses to improve output, quality, and cut down operational costs. This interactive platform can be used by process, equipment, and maintenance teams to ramp up asset accessibility and yield. It is designed to reduce unplanned downtime, improve reliability throughout the plant, enhance production efficiency, and ensure consistency in product quality.

Falkonry's AI solution for the metals industry presents a robust tool to tackle the challenges of downtime and quality variance. It uses existing equipment and sensor data to generate smart, actionable insights for plant-scale operations. The Time Series AI, in particular, automatically detects operational anomalies based on production data, enabling maintenance and reliability engineers to promptly address critical issues. Key benefits include reduced downtime, minimized scrap, reworks due to quality issues, and improved plant-wide operational visibility.

QIO offers the Foresight Maintenance solution to promote data-driven and collaborative incidents management. Employing advanced analytics and artificial intelligence, it tracks reasons for potential failures and provides prescriptive insights for maintenance teams. This results in increased productivity, safer actions, and better longevity of assets. The solution's capabilities lead to reduced downtime (scheduled or unexpected), enhanced uptime and service levels, and extended lifespan of crucial components. The system automatically creates dynamic Digital Health Records, enabling effective monitoring of every asset's health.

QIO's Foresight Service solution is designed to streamline asset servicing workflows, helping to enhance customer satisfaction while minimizing downtime and costs. It enables seamless asset servicing from 'at risk' assets identified by the Foresight Maintenance solution. With integrated ERP and work management systems, the solution automates and streamlines servicing workflows, managing end-to-end processes, including warranty coverage, spare parts management, and labour costs. It also leverages existing knowledge captured within the enterprise, securely storing engineering IP and supplier agreements.

Seebo's Process Health solutions, teamed with Augury's technology, offer a revolutionary remedy to the trillion-dollar problem of lost production and revenues through unplanned manufacturing downtime. The technology uses AI to provide manufacturing operators with real-time insights across the production process, giving them the knowledge required to make effective decisions and avoid downtime. Additionally, the solution empowers operators with better information and training, ultimately driving improvements in production quality and efficiency.

Smart Uptime Monitoring is an intelligent AI-powered monitoring system designed for SCADA, RTUs, PIDS, Telecom Systems, and LDS systems. Seamlessly integrated with operations, it continually monitors the infrastructure backbone, providing insightful analytics, downtime notifications, reports, and predictive as well as periodic maintenance assistance. It extracts vital features from the data, using them to train machine learning models for distinguishing different fault types. This results in detailed analytics for asset health evaluations and prognostics. The system ensures an increased understanding of infrastructure, granting organizations the ability to avoid machine failures and unplanned downtimes, accentuating productivity and reducing maintenance costs.

Uptake Fleet is a comprehensive fleet management system that aims to improve operations by utilizing data insights. Designed to assist teams in cutting maintenance costs, increasing uptime, and enhancing fuel efficiency, this solution offers preventive and predictive maintenance. It fine-tunes inventory management to ensure the availability of right parts when necessary and elevate labor effectiveness by carrying out the needed repairs accurately during the first attempt. With features like work order analytics, sensor analytics, and predictive failure models, this solution provides a single-source of truth for fleet management, backed by thorough data analysis.