AI Tool Optimizes Manufacturing Processes: Adapdix Announces EdgeOps DataMesh

Two leading semiconductor companies utilize Adapdix AI software to optimize manufacturing processes.

Adapdix, a company focused on adaptive AI software, recently announced its first software-only product for the EdgeOps platform: EdgeOps DataMesh. The new software enables enterprise data management through mass data virtualization and analysis in real-time.

The Adapdix dashboard. (Image courtesy of Adapdix.)

The Adapdix dashboard. (Image courtesy of Adapdix.)

Founded in 2015, Adapdix is based in the Bay Area in California and includes a growing list of Fortune 500 customers. The EdgeOps platform for edge-optimized data management and analysis aims to integrate AI and machine learning to streamline manufacturing operations with industry-leading speed.

DataMesh is the first product added to the rapidly expanding suite of software tools offered through the Adapdix EdgeOps platform. As an adaptive AI software, DataMesh ingests, processes and conducts analysis on an enterprise’s data at the network edge to deliver real-time optimization for the manufacturing process.

Adapdix designed EdgeOps DataMesh with large-scale manufacturing in mind. For example, two of the leading semiconductor manufacturers are among the first customers to utilize the new platform. Due to the global chip shortage, the DataMesh adaptive AI software promises solutions to supply-chain challenges through optimization of manufacturing operations. DataMesh helps chip companies to maximize the performance of their existing manufacturing equipment to optimize their yield and overall quality.

Optimized Performance Outputs in Milliseconds

The Adapdix EdgeOps platform operates at the source equipment, facilitating real-time data ingestion, processing and analysis. By operating at the equipment source, EdgeOps DataMesh can overcome data security concerns and the increasing cost and timing of edge-to-cloud data transfer. Operating at an ultra-low latency, DataMesh can overcome many of the common challenges faced by edge AI software.

The ROI of AI tools optimizing production. (Image courtesy of Adapdix.)

The ROI of AI tools optimizing production. (Image courtesy of Adapdix.)

According to Adapdix CEO Anthony Hill, many of their customers are already seeing drastic improvements in their manufacturing process and yield outputs.

He said, “While others like to talk about ‘real-time,’ we actually deliver it. Because our platform operates at the source on the equipment and at ultra-low latency, we can ingest, pre-process, and analyze data integrating advanced AI applications – all in cycle time.”

The EdgeOps DataMesh system can be operational in less than one day and large-scale manufacturing improvements are noticeable within weeks. The software stands to transform large-scale manufacturing across industries and overcome global challenges beyond the chip shortage. Optimizing existing equipment and infrastructure provides an inexpensive and efficient strategy for maximizing yield with split-second decision making at critical junctures in the manufacturing process.

Broad Benefits for Enterprises

DataMesh integrates mass data virtualization and analysis to enable nearly instant decision-making for critical manufacturing processes. Over time, the EdgeOps DataMesh edge AI software minimizes manual repetitive tasks and streamlines processes to maximize yield in large-scale manufacturing. Beyond semiconductor chips, enterprises can use the DataMesh software to streamline operations and overcome supply chain and source material challenges.

Andrew Byrnes, director of venture capital at Micron, said, “Adapdix provides an innovative platform that allows enterprises to operationalize artificial intelligence across critical infrastructure to unlock new levels of productivity and streamlined processes. As an early investor, Micron is pleased to see the launch of Adapdix EdgeOps, software that is designed to solve real-world enterprise challenges and is helping to make the promise of industry 4.0 a reality.”

In summary, enterprises can use the DataMesh system to enable optimized equipment performance without requiring any significant changes to manufacturing infrastructure.