Shop-floor data services

Turn shop-floor data into dashboards your team and AI can use.

Vectis Works connects PLC, HMI, Kepware, spreadsheet, and manual reporting data into clear operations dashboards, structured data layers, and optional read-only AI query access for manufacturers.

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The Problem

Your plant already creates the data leaders ask for. It may live in PLCs, HMIs, Kepware tags, machine logs, spreadsheets, ERP exports, maintenance notes, quality records, and manual reports.

The hard part is not whether the data exists. The hard part is making it visible, trusted, labeled, and useful in one place.

When shop-floor data stays scattered, managers wait on manual reports, engineers become the only people who know where the numbers came from, and AI tools cannot answer useful questions because the operational context is missing.

What this service builds

A usable operating view, not dashboard theater.

We help manufacturers connect the right operational data sources, normalize the context around them, and build a dashboard/data layer your team can actually use.

01

Source and tag mapping

Identify the PLC, HMI, Kepware, spreadsheet, ERP, and manual-reporting data that matters to the operational question.

02

Operations dashboard

Build views for production, downtime, quality, throughput, or the priority workflow your team needs to manage.

03

Structured data layer

Create a cleaner foundation for reporting, future apps, APIs, integrations, and recurring analysis.

04

Read-only AI access

Add optional MCP / AI query access for ad hoc analysis and reporting, with read-only posture unless deeper scope is approved.

Demo dashboard

Want to see the shape of it?

This sample dashboard shows the kind of operational visibility we can build once plant data is connected, structured, and labeled. It is a demo environment, not a client system — useful for seeing how shop-floor signals can become a cleaner operating view.

Open the demo dashboard

How the work moves

The exact data sources vary by plant. The delivery shape stays practical.

01

Discover

  • › Define the operating questions
  • › Pick the highest-value view first
02

Connect

  • › Map sources and tags
  • › Normalize the context around the data
03

Build

  • › Dashboard and structured data layer
  • › Team validation as we go
04

Extend

  • › Optional read-only AI query access
  • › Support and improvements

Good fit

  • ✓ You have PLC, HMI, Kepware, spreadsheet, ERP, or manual reporting data that leaders cannot see clearly.
  • ✓ Managers wait on reports, exports, or engineers to answer recurring operating questions.
  • ✓ You want better visibility without starting with a full MES or ERP replacement.
  • ✓ AI is interesting, but the immediate need is trusted operational data.

Not the right fit

  • × You want autonomous machine control as the first step.
  • × You need a full MES/ERP replacement in one move.
  • × You want a generic BI dashboard detached from the way the plant actually runs.
  • × No one on the team can validate source data, tag meaning, or operating context.

Why Vectis

We bridge plant reality and modern software. Manufacturing data does not live in tidy SaaS tools. We work with the PLCs, HMIs, tags, spreadsheets, exports, and workarounds your operation actually runs on.

We build for adoption. The goal is not a pretty screen no one owns. The goal is a useful operating view your team can trust, maintain, and extend.

We keep AI practical. Read-only query access and analysis layers come after the data is structured enough to support useful answers.

Wherever you're starting from

The starting point changes, but the goal stays the same: a working operating system your team can trust.

1

Still on spreadsheets and shared folders.

We build the operating workflow from scratch.

2

Systems exist, but they're messy.

We clean up the process and data first, then build on top.

3

Your stack is solid.

We add the intelligence layer: agents, automations, and decision logic.

Let's talk through your shop-floor data sources.

We will map where the data lives, what questions leaders need answered, and what dashboard or AI-ready access layer should come first.

Let's Talk

Share a bit about what you're looking to accomplish and we'll be in touch soon.