Machine Ai Solutions

About this idea

Built specifically for small manufacturers While most analytics platforms target large enterprises, we focus on the 140,000+ small U.S. manufacturers that lack dedicated analytics teams or high-end infrastructure. All-in-one, plug-and-play platform Our solution handles end-to-end solutions: data collection, visualization, predictive analytics, and insights in a single, easy-to-deploy system. No need for multiple tools or IT support. AI agents that speak your language Operators and plant managers can ask in natural language and get instant answers, no technical training required. Real-time visibility and predictive maintenance The platform surfaces hidden issues, predicts failures, and flags anomalies before they disrupt operations, turning reactive troubleshooting into proactive prevention.

Impact

Reduces unplanned downtime by detecting equipment or process issues before they cause disruptions Improves product quality by surfacing hidden inconsistencies and tracking performance in real time Accelerates problem-solving with AI-powered insights that help teams identify and fix root causes faster Strengthens collaboration by giving all departments a shared view of live operational data Supports smarter decisions by turning raw machine data into clear, actionable recommendations Affordable and scalable, making advanced analytics accessible to teams that can't invest in enterprise tools Built for lean teams, replacing the need for in-house analysts or complex IT systems with user-friendly AI

What I'll do with $5,000

We will use the $5,000 to complete our MVP (Minimum Viable Product) and launch our first live pilot with a small manufacturing partner. The funding will directly support: Final feature development – Integrating real-time dashboards, AI-powered alerts, and natural language query functionality Edge data testing – Simulating live machine data for testing reliability, speed, and tag mapping Cloud infrastructure setup – Covering costs for secure data storage, processing, and dashboard hosting during the pilot Pilot deployment tools – Creating onboarding materials, demo configurations, and basic UI customization for the pilot site Feedback and iteration loop – Collecting real user feedback from operators and managers to refine usability and performance

Quick Bio

2 yrs at Tremron (small concrete manufacturing) - Controls Engineer 5 yrs at J&J – Medical Device manufacturing - Principal Engineer 2 yrs as Lead Data Scientist at McKesson 2nd Yr MBA - UofM (Ross)

Links

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