Our Approach

Adapdix EdgeOps is a data-driven analytics platform suite that integrates ML/AI at the customer site. An EdgeOps solution incorporating the DevOps, DataOps and AIOps methodologies presents an opportunity for customers to strengthen, scale, and automate routine business practices and streamline interactions between functional groups to help organizations quickly implement solutions to difficulties they face.

What Does Adapdix EdgeOps Bring?

EdgeOps Puts the Customer First:

  • Foster rapid application development and integration
  • Shorten the lifecycle of model development and deployment
  • Automate data analytics to improve quality and reduce cycle time
  • Integrate microservices data for building new ML/AI applications
  • Enable data scientist and data engineering teams to seamlessly manage data
  • Facilitate customer updates and platform scaling
  • Manage multiple observability between different reporting formats
  • Incorporate specialized 3rd party AI/ML models

Industry Solutions

An edge-to-cloud based solution managed in the EdgeOps platform offers several advantages by reducing non-critical data processing from the cloud using advanced analytics at the edge, which are much nearer to the source of data.

An edge learning solution greatly improves scalability of systems while optimizing network efficiency reducing the amount of data sent to the cloud especially when applications such as AI and machine learning are involved.

Having the ability to capture insights from real-time data, without impacts from latency and network-related obstacles, is changing the way countless industries can operate thereby bringing real tangible benefits to customers and companies alike.

We can help any organization create value from operating at the edge with our platform immediately for improved operating efficiency. See below on how our software solutions can help you:

Adopting an EdgeOps Strategy Will Accelerate Digital Transformation by Using AI/ML to Dramatically:

Semiconductor
Manufacturing

Develop solutions to increase system uptimes, increase yields and revenue, and reduce cost of ownership of increasingly complex equipment and systems. Seamlessly integrate and monitor your production operations in real-time. Reduce spare parts costs.

High-Tech
and Electronics
Automation & Assembly

Gain insight into the complexities of high-tech production and operations management. Leverage your existing machine and process data to manage costs and minimize time-to-value – all while optimizing logistics and maximizing ROI. Use data isolated inside machines and processes to quickly identify production inefficiencies and pinpoint potential safety, production, or environmental issues.

Energy

Deploy solution to optimize exploration and production processes. Manage distributed substation and transmission equipment to predict performance degradation. Avoid critical failures in electric meters or field equipment conditions.

Assets
Optimization

Adaptive
Control

Operational
Efficiency

Machine Learning
Orchestration

Product Quality
and Compliance

Testing and
Safety Compliance

Predictive Asset Optimization & Uptime Assurance

Real-time, remote observability of highly distributed data streams in milliseconds has the potential to reduce unplanned downtime, and improve both asset utilization and effectiveness. Both OEMs and end-users can leverage data and analytics to drive significant improvements to critical operations. This is key differentiation and capability of the Adapdix’s EdgeOps platform.

  • Monitoring and optimizing maintenance for what’s happening now, and prediction analytics for insights into the future
  • Boosting operational life, reduce life-cycle costs, and ensure asset availability
  • Determining asset condition, minimize disruption, and prevent unexpected downtime
  • Improving system performance, maximize throughput and increase equipment uptime
  • Increase yield, reduce MTTR using prescriptive analytics to identify root cause analysis
  • Determine root cause analysis through explanation of events

Adaptive Control

With the implementation of adaptive control, improve system performance over time based on the information gathered during operation. Our platforms real-time analytics framework combines advanced machine learning and artificial intelligence analytics that can:

  • Predict whether data readings monitored are within a permissible range
  • Help identify positional errors, which can improve system performance, maximize throughput and increase equipment uptime
  • Implement adaptive control to smooth out machine movements to avoid high stress on components
  • Allow quick access to critical machine performance data enabling end-users to prevent errors, reduce unplanned downtime and predict system degradation
  • Prepare conditioned data for ML model evaluation
  • Automate feedback loops in the manufacturing process assisting predictive maintenance for maximizing the uptime and lifespan of the equipment

Predictive Operational Efficiency and Remote Observability

End-to-end predictive operational management and observability of production process and equipment. Maintain and predict deterministic production performance requirements to the millisecond. These are the key differentiation and capabilities of the Adapdix’s EdgeOps platform.

  • Monitoring end-to-end system health (machine condition and performance data) in milliseconds
  • Greater throughput, increased yield, and lower failure rates,
  • Remote observability of each component
  • Significant reduction in unplanned downtime for the equipment they use
  • Real-time visualization of asset performance metrics
  • Data to be quickly analyzed and acted on in the event the equipment requires adjustment or service Improved worker productivity and reduction in user errors

Machine Learning Orchestration

Automate data engineering processes for distributed ML applications to manage event data streams and processing. Automate data validation, quality and integrity in real-time to ensure model accuracy. OEMs and end-users can leverage data and analytics to drive significant improvements to critical operations by:

  • Monitoring and optimizing maintenance for what’s happening now, and prediction analytics for insights into the future
  • Boosting operational life, reduce life-cycle costs, and ensure asset availability
  • Determining asset condition, minimize disruption, and prevent unexpected downtime
  • Improving system performance, maximize throughput and increase equipment uptime

AI-based Product Quality and Compliance Control

Leverage platforms advanced analytics to automate and track compliance measures to meet product production processes including temperature and QA/QC measures. Improvements in product defects realized with the EdgeOps platform. By deploying our platform with the appropriate performance metrics, end-users can:

  • Quickly expose unnecessary and costly inefficiencies contributing to lower yield
  • Determine root cause analysis through explanation of events
  • Continuously monitor processes to identify issues in order to increase uptime and improve yield
  • Enhance manufacturing yields and efficiency using real-time monitoring and diagnostics, streaming analytics, machine learning, and operations optimization
  • Enable OT and IT teams, data scientists, managers, and equipment operators with continued monitoring and production process refinement of their equipment

Quality, Testing and Safety Compliance

EdgeOps is an effective tool in helping workers identify weaknesses in processes used to produce products or services. To gain a better understanding of those processes and correct them early, our platform allows:

  • Monitoring of system processes to prevent mistakes and defects, and assure reliability and dependability
  • Transformation of plant operations by streamlining processes, improve quality, gather insights, and enable a new level of control over operations
  • Delivery of real-time insights to the relevant personnel, keeping costs down and reducing the number of technicians necessary to service your assets