Our Applications
Production-ready AI solutions built for real manufacturing challenges
Automated 6S (5S + Safety) auditing system using computer vision and AI to ensure workplace organization and safety compliance in manufacturing environments.
Low cost brandable AI Chat Solution and Virtual AI Expert Platform that enables organizations to deploy customized AI assistants with their own branding.
Comprehensive insights platform providing data and analytics across all northwest Ohio software tech companies, fostering regional tech community growth.
AI-powered grant writing assistant that helps organizations identify funding opportunities and craft compelling grant proposals with higher success rates.
Creative AI platform that automatically generates detailed descriptions and metadata for digital artwork and creative content.
Comprehensive AI toolkit for utility companies featuring predictive maintenance, demand forecasting, and operational optimization solutions.
Intelligent customer service platform with advanced AI chatbots designed for manufacturing and technical support scenarios.
Published Research
Insights and expertise from our manufacturing AI specialists
This study presents a four-stage iterative refinement of a BI dashboard using the Global Superstore dataset, showing how feedback-driven design evolves exploratory visuals into decision-support tools; key findings include furniture margin erosion (6.94% vs 13.99% for technology), the discovery of a 20% discount threshold after which profitability declined, and $1.35 million in unrecovered shipping costs.
Novel approach using Denoising Diffusion Probabilistic Models to generate synthetic defective glass images for data augmentation, improving CNN classification accuracy from 78% to 93% for automated visual inspection in industrial glass manufacturing.
Comprehensive study examining bias in LLM evaluations by ChatGPT, Gemini, and Claude, revealing how perceived model identity can heavily distort judgments with shifts up to 50 percentage points in preference votes.
First mechanistic evidence that model-free reinforcement learning agents can learn to plan, demonstrated through concept-based interpretability methodology applied to a model-free agent in Sokoban planning benchmark.
Investigation of aluminum-silicon metal matrix composites (MMCs) reinforced with WC-based tool waste, examining the effects of intermetallic compounds and processing conditions on wear resistance for sustainable manufacturing applications.
Comprehensive modeling study of titanium alloy microstructures and mechanical properties in additive manufacturing processes, with focus on biomedical applications and optimized processing parameters.