Author: Joe Bellini
White Paper – AI Based Production Orchestration Redefines the Manufacturing Applications Platform
Manufacturing execution system (MES) adoption continues to expand as manufacturers respond to labor constraints, supply chain volatility….
Closing the Gap Between Planning and Execution in Manufacturing
In manufacturing, execution rarely aligns perfectly with the original plan. A machine goes into an unplanned maintenance state. A supplier delivers late. A quality hold pulls a batch off the line. An urgent customer order changes the demand picture mid-shift. Within hours of a production day starting, the schedule that looked optimal at the beginning …
Why Purpose-Built Software Still Matters in an AI-First World
There is a growing assumption in software that AI-assisted development is rapidly closing the gap between general-purpose tools and specialized applications. If a capable model can generate code quickly and iterate on it in real time, the argument goes, purpose-built software becomes less necessary. Domain expertise gets absorbed into the model, and the barriers to …
SLMs vs. LLMs: The Edge Advantage for Factory Operations
As manufacturers evaluate AI strategies, one of the most important architectural decisions is where AI inference should run and what type of model is best suited for shop floor operations. For many complex manufacturing environments, Small Language Models (SLMs) deployed at the edge offer meaningful advantages over large language models running in the cloud. Understanding those advantages …
Why General-Purpose LLMs Fall Short in Complex Manufacturing
There is a lot of discussion right now about the role of large language models (LLMs) in manufacturing. The excitement is understandable. LLMs like those powering ChatGPT or Gemini can reason through complex, multi-step problems, generate code, summarize documents, and respond to natural language queries across a wide range of topics. For many business functions, …
Eyelit Technologies Announces Nearly 90% Year-Over-Year Growth in New Bookings
New product bookings nearly doubled year-over-year, reflecting accelerating demand from organizations adopting Eyelit Technologies’ solutions. Holmdel, NJ – May 13, 2026 – Eyelit Technologies (Eyelit), a leader in optimized planning, scheduling, and execution systems for manufacturers, today announced strong year-over-year growth in new bookings for 2025, highlighting continued momentum and increasing market demand for the …
White Paper | Digitizing the Factory Mind Powering AI with Real Manufacturing Knowledge
Plant fingerprints hold decades of deep production knowledge: how materials behave, how machines are tuned, how quality issues emerge, how processes fail and recover.
Eyelit Technologies and Microsoft Showcase AI-Assisted MES Integration with Copilot
Introducing Agent EyeQ to advance intelligent manufacturing execution and real-time decision support. HOLMDEL, N.J. – May 4, 2026 – Eyelit Technologies (Eyelit), a leader in optimized planning, scheduling, and execution systems for manufacturers, today announced its joint presentation with Microsoft at the Gartner Supply Chain Symposium/Xpo in Orlando, Florida. The session, titled “AI Assisted MES …
White Paper | AI Path to Value for Complex Manufacturing
Value generation is beginning to emerge with improved ML driven process outcomes, query capabilities, improved analytics, and both interactive and autonomous process control.
AI Empowerment Through MES is Proven to Drive Overall MOM Improvement
It’s logical that actionable insights which leverage real time data would drive optimized factory performance.
