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Eyelit Technologies Launches Agent EyeQ, a Purpose-Built Agentic AI Application Suite that Delivers full stack MOM

Agent EyeQ detects, diagnoses, predicts, and acts, powering autonomous and semi-autonomous manufacturing operations Holmdel, NJ — August 10, 2026 —Eyelit Technologies (Eyelit), a leader in optimized planning, scheduling, and execution systems for manufacturers, today announces Agent EyeQ, debuting in its 10.1 release. Agent EyeQ exposes more than 1,700 executable operations as tools across Eyelit’s manufacturing operations management (MOM) portfolio, spanning SIOP, APS, MES, QMS, SPC, Predictive Analytics …

The Real Reasons Manufacturers Are Always Replanning

Ask any production planner how often their schedule survives a full week untouched, and you’ll get a knowing laugh. In discrete and process manufacturing, replanning isn’t the exception. It’s the rhythm of the job. The question worth asking isn’t how do we stop replanning. It’s why does it keep happening, and is our planning stack actually built to handle it? Where APS Fits, and Why It’s Not ERP …

Matching the Right AI to the Right Manufacturing Problem

One of the most common pitfalls in manufacturing AI adoption is treating AI as a single, uniform technology. Organizations invest in a platform or a model, apply it broadly, and then are surprised when results are inconsistent, strong in some areas, underwhelming in others. The underlying reason is usually a mismatch between the type of …

Key advancements include Agentic AI, prescriptive inference, transparent forecasting, and end-user configurability Holmdel, NJ — July 2026 — Eyelit Technologies (Eyelit), a leader in optimized planning, scheduling, and execution systems for manufacturers, today announced the release of Eyelit Version 10.1 which highlights Agentic AI, Demand Planning and advancements across the fully integrated manufacturing operations management (MOM) applications suite.  Built for discrete manufacturers …

Version 10.1 is the most significant release in Eyelit’s history bringing agentic AI, a reimagined demand planning platform, deeper execution intelligence, and hundreds of enhancements across MES, APS, and supply chain planning. Here is what’s new. Demand Planning Version 10.1 is a ground-up rearchitecting of demand planning for the AI era. The capabilities below represent …

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 …

For anyone who has managed a production floor, you’ll know that one of the lynchpins of the operation is your team leaders and supervisors. These are your eyes and ears around the shopfloor. They know how to make things run smoothly, they know what tends to cause problems, and they’ve typically built-up years of experience across a range of areas. As people operating directly in that environment, they are uniquely placed to manage daily operations and deliver results. The question is: how do you leverage this valuable resource even more?

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 …

Eyelit Technologies Launches Agent EyeQ, a Purpose-Built Agentic AI Application Suite that Delivers full stack MOM

The Real Reasons Manufacturers Are Always Replanning

Matching the Right AI to the Right Manufacturing Problem

Eyelit Technologies Version 10.1 Innovates Manufacturing Operations Management (MOM) Through Agent EyeQ

Eyelit Technologies Version 10.1 Release Notes

Closing the Gap Between Planning and Execution in Manufacturing

Why Purpose-Built Software Still Matters in an AI-First World

SLMs vs. LLMs: The Edge Advantage for Factory Operations

Agent EyeQ: Making Your Production Supervisor’s Role More Effective

Eyelit Technologies Announces Nearly 90% Year-Over-Year Growth in New Bookings

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