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Vestval

Industries · Manufacturing

Automation for Manufacturing

Removing manual, repetitive work so teams focus on judgment — built for manufacturing.

Overview

Automation in manufacturing compounds: every manual handoff removed frees capacity and reduces error. Vestval automates the repetitive, rules-based work first, then layers intelligence on top of a clean, reliable foundation.

Manufacturing IT is two worlds awkwardly stitched together: an OT world of PLCs, SCADA and MES that runs the floor, and an IT world of ERP, finance and analytics that runs the business. Most plants we walk into have working systems on both sides — and a spreadsheet bridge in the middle that nobody trusts and everybody depends on.

Modernizing this spine is not about ripping out the floor. It is about building a clean data and workflow layer above the existing OT stack so that production reality reaches finance, quality and the boardroom without translation loss. Done well, this is the foundation that makes predictive maintenance, computer-vision quality and operator-assist AI actually deployable.

What this covers

In-line quality alerts

Automated in-line quality alerts — designed for manufacturing workflows so the work happens reliably without manual effort.

Maintenance work-order generation

Automated maintenance work-order generation — designed for manufacturing workflows so the work happens reliably without manual effort.

PO and GRN workflows

Automated po and grn workflows — designed for manufacturing workflows so the work happens reliably without manual effort.

Compliance evidence collection

Automated compliance evidence collection — designed for manufacturing workflows so the work happens reliably without manual effort.

How it works

  1. 1

    Map the current state — systems, data, handoffs and pain in this part of the business.

  2. 2

    Design the Automation target architecture against manufacturing realities.

  3. 3

    Implement in phases, proving value at each step before expanding scope.

  4. 4

    Operate, measure and iterate — the system compounds as data accumulates.

Use cases

Manufacturing

Production operations

ERP-native production planning, BOM management and shop-floor reporting.

Manufacturing

Computer-vision quality

Edge perception pipelines for in-line defect detection.

Manufacturing

Predictive maintenance

Sensor-driven models that catch failures before they cost a shift.

FAQ

Frequently asked

  • Yes — we integrate at the data layer instead of forcing a rip-and-replace. Most engagements keep MES and gain a unified operating layer above it.