Plant & enterprise data
Connect agreed MES, quality, and ERP data into useful shared models.
Industries / Pixelvise
Connect the factory floor to better decisions.
01 / A considered starting point
Data platforms, integrations, and operational tools shaped around manufacturing workflows.
Production, quality, maintenance, and enterprise systems each hold part of the picture. Connecting them requires an understanding of plant realities, data reliability, and the systems that must remain uninterrupted.
02 / What we can help with
A clear scope, shaped around your priorities. These capabilities are a starting point for the work we agree together.
Connect agreed MES, quality, and ERP data into useful shared models.
Evaluate analytics against production decisions and meaningful operational baselines.
Build dependable handoffs between work orders, reporting, and business systems.
Validate changes against plant requirements with clear release and recovery responsibilities.
03 / How we work
Start with the people, existing systems, and constraints. Agree on the problem before deciding on the technology.
Define the scope, architecture, responsibilities, and acceptance criteria for a useful first release.
Work in reviewable milestones. Share working progress, test important journeys, and make decisions together.
Validate the release, document the system, and agree on the support and ownership needed beyond launch.
04 / Before we begin
We start with your operating context. For manufacturing, that means understanding plant & enterprise data, quality & throughput, process integration, controlled rollout, and the systems and people already involved.
We identify applicable privacy, security, accessibility, and data-location requirements with your stakeholders. Requirements and validation responsibilities are agreed explicitly; a technology implementation is not a substitute for legal or regulatory advice.
Yes. An integration, a customer journey, or a limited first release can be a useful starting point. We agree on scope and success measures before expanding the work.
Your next chapter / Pixelvise
Bring the problem, the ambition, or the system that needs to work better. We’ll start with a conversation.