Absolutely. Ennea features a fully drag-and-drop dashboard builder. You can create specific views for operators, plant managers, and executives without writing a single line of code.

Security is our priority. Your data is encrypted both in transit and at rest, hosted on dedicated private cloud instances.

Most customers are live with their first line in less than 2 weeks. Our self-service integration wizard allows you to map your data points quickly, and Konnie starts learning immediately.

Yes, Ennea AI does everything that a traditional MES does and expands on those concepts dramatically.

No, Ennea sits on top of your ERP (like SAP, Oracle, or Microsoft Dynamics). We pull order data from the ERP and push back production results, acting as the real-time execution layer.

Ennea integrates with common ERP, MES, PLM, and machine-level systems. Out of the box, we support systems like SAP, Oracle, Microsoft Dynamics and others, as well as SCADA and data historians. Custom connectors can be configured via REST APIs, OPC-UA, and streaming data pipelines.

No. Ennea is built for brownfield environments. We work with a mix of PLC-based equipment, semi-automated stations, and fully manual workstations using edge sensors, tablets, and guided work instructions.

Yes. Ennea is designed for touch-first industrial environments. Most operators are productive after a short onboarding session. We support multimedia work instructions (photos, videos, PDFs) and simple, guided workflows.

Konnie can trigger rule-based actions such as alerts, reassignments, maintenance requests, or escalations. In active monitoring mode, Konnie continuously watches your data streams for anomalies like backlogs, abnormal scrap, or recurring downtime and recommends or triggers actions in real time.

Ennea supports multi-site deployments with separate logical tenants. Role-based permissions determine which teams, departments, or plants can access which modules and dashboards. Tenant-specific widgets and configurations are supported from the start.

Ennea AI uses a scalable per-user monthly subscription model with optional base fees for custom tenant widgets and integrations. This keeps costs predictable while allowing you to start small and expand across lines, departments, and plants as you grow.

Yes. While most customers choose private cloud, Ennea AI can also be deployed on-premise for regulated environments or data-sovereignty requirements.

Ennea uses edge agents and streaming connectors to capture signals such as cycle times, downtime, fault codes, and scrap triggers. These are processed in near real time and visualized directly on planning boards, dashboards, and shift supervisor views.

Ennea includes qualification matrices, skill requirements per workstation, and real-time reassignment tools. Shift supervisors can see who is trained for which tasks and reassign workers via drag-and-drop on tablets or desktop, without breaking qualification rules.

Ennea is built for discrete manufacturing, especially metal fabrication, assembly operations, door and gate production, packaging, plastics, and general fabrication environments. We specialize in brownfield plants with mixed machine ages and automation levels.

Most customers recover the equivalent of a full monthly subscription within the first few days of productive use—often within the first three days of a month—through reduced downtime, higher throughput, fewer planning errors, and the elimination of manual paperwork and Excel-based planning.

Yes. Many customers start with one production line or one plant area, validate the impact, and then scale up. Our scalable per-user pricing model is ideal for this: you can begin with a small team and gradually add more users, machines, and sites as value becomes visible.

We provide onboarding workshops, technical support, and ongoing guidance to help you get value quickly. Dedicated Customer Success is available to work with your team on rollout strategy, best practices, and continuous improvement.

Ennea’s data model is designed to evolve with your factory. New sensors, additional machine states, new work centers, and new ERP fields can be added without code-level changes or system downtime.

Operators can log scrap quantities and reasons with just a few clicks or taps. Scrap data is automatically linked to the production order, machine, and time window, making it easy to analyze patterns, identify root causes, and reduce waste.

Traditional MES platforms digitize processes but still rely on humans to detect issues. Ennea is AI-first: it combines real-time execution with autonomous monitoring, conversational guidance via Konnie, adaptive dashboards, and proactive recommendations. Instead of just telling you what happened, Ennea helps your team decide what to do next.