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Adapdix EdgeOps™ is a platform-as-a-service (PaaS) suite for edge-optimized AI/ML performance. EdgeOps™ can process, analyze, and orchestrate large volumes of machine data and events at microsecond transactions.
EdgeOps™ Distributed AI/ML Platform
Compared to other real-time data management platforms, EdgeOps™ has many significant advantages that are not found in the market today. Our platform offers value across a wide range of industries featuring real-time, high-precision, and advanced control software. Practical solutions include:
Because we act as a single access point for all your factory data, we can enable faster/easier root cause analysis, factory level process improvements (bottlenecks, etc.), identifying upstream/downstream dependencies, machine comparisons, etc. For example, the software's advanced capabilities make it the product of choice for semiconductor, automotive, and other manufacturing scenarios handling complex assembly operations and process high volumes of data at microsecond transactions. For Data Scientists, they can develop faster, realize benefits earlier, and spend less time maintaining the solution using the EdgeOps platform. For example, a company struggling to understand why the yield is low can see the individual machine performance at a sub-process level of detail, enabling improvements in machine efficiency and throughput in a matter of weeks.
For a complete set of EdgeOps™ features and functionality, please visit our website at www.adapdix.com.
Adapdix EdgeOps™ platform is an on-premises solution that leverages our patented technology to connect and ingest multiple edge data streams such as process logs, machine data, and instrumentation data in a time-synchronized fashion in real-time, in millisecond cycle times.
The platform is built upon a scalable, containerized design, combined with advanced Artificial Intelligence and Machine Learning (AI/ML) technologies. EdgeOps™ combines and normalizes the data across multiple types of sources/equipment enabling easy, seamless access to ALL data for end users and a full platform for AI/ML development, tracking, and inferencing.
EdgeOps™ stores data at the edge in a physical database. The database operates as part of the software container installed on an EdgeNode, for example an Intel NUC device. Data can be accessed and download by a Data Scientist or other engineering staff for offline analysis.
