Software architecture enhancement for SolidState AI

Strengthening an AI-powered manufacturing platform to improve stability, scalability, and access to production insights.

Dushyant Puri, SMART Centre, Adam Sanderson, Mark Buchner, and Abdur Raja, School of Applied Computer Science & IT

About SolidState AI

SolidState AI develops artificial intelligence and machine learning software for advanced manufacturing. The company partnered with Conestoga’s SMART Centre to enhance AI for Manufacturing Systems (AIMS), its software platform designed to help manufacturers improve yields and throughput, reduce ramp-up time, and support predictive maintenance.

The challenge

As AIMS continued to develop, SolidState AI sought to strengthen its underlying software architecture to improve stability and support future expansion. The company also wanted to improve how the platform processes unstructured manufacturing data so users could more easily access information to support production and costing decisions.

Approach

• Reviewed and enhanced the architecture of the AIMS platform
• Improved software stability and prepared the system for future expansion
• Developed a data extraction tool for processing unstructured information
• Enabled data to be converted into structured formats for further use
• Integrated new functionality to provide manufacturers with greater visibility into production information

Results

• Improved the stability and scalability of the AIMS platform
• Developed functionality for extracting and processing unstructured data
• Improved access to information related to production costs and part pricing
• Strengthened the platform’s ability to support manufacturing decision-making
• Established a more flexible foundation for future software development

Why it matters

• Helps manufacturers make better use of production data
• Supports more informed costing and pricing decisions
• Strengthens predictive maintenance and production optimization capabilities
• Provides a scalable foundation for future AI and machine learning applications
• Advances the adoption of AI technologies in advanced manufacturing

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We acknowledge the support of the Natural Sciences and Engineering Research Council of Canada (NSERC).