Eyelit MES vs MES AI

Eyelit MES models and executes manufacturing processes, tracking routings, lots, labor, machines, and materials. It is aimed at high-mix, high-complexity plants, from single facilities to global multi-site operations. Users configure detailed processes with parallel and conditional flows through a graphical interface without coding. Electronic work lists, digital instructions, real-time data capture, dashboards, and alerts support paperless shop-floor execution. Traceability covers batches, genealogy, die creation, multilevel bills of material and consumption, splits, and merges. Quality functions include SPC, non-conformance management, CAPA, document management, and track-and-trace. Electronic controlled history records support ITAR, FDA, and ISO requirements; native electronic records include FDA 21 CFR Part 11 and eDHR. The MES executes against schedules from Eyelit APS and returns live labor, machine, and material data to the plan. Inventory supports two-way real-time ERP integration. Deployment options are cloud, on-premises, or hybrid, and mobile access provides alerts, KPIs, and production data. Pricing is on request, and a demo can be requested through the site.

MES AI is an open-source Manufacturing Execution System framework for teams adapting production workflows, integrations, and user experiences to their operations. Its design-time client configures products, routes, dispositions, equipment, plugins, and master data; its runtime handles work in process and shop-floor execution. The browser-based applications also include ERP and equipment simulators and a WIP client. Runtime functions cover dispatching, inventory activity, and hold or disposition handling. Built-in and custom plugins can extend the system with REST endpoints, event handlers, equipment behavior, dispatch strategies, and integration logic. A versioned REST API and WebSocket event stream provide near-real-time updates. PostgreSQL is the default database, with SQL Server and Oracle also supported. Optional integration work covers OPC UA, MQTT, SAP, SQL Server, Oracle, Modbus, Redis, STOMP, and AVEVA historian. The server uses authentication and role-based access control. MES AI runs on Linux, macOS, or Windows, with a FastAPI server and separate Vite clients. It is free and open source; test drives are available without authentication.