Industries

Manufacturing & Industrial

Manufacturers generate huge amounts of machine, quality and supply-chain data – but much of it never reaches the people who make decisions. Assystant turns that data into predictive maintenance, quality insights and automated workflows, and connects it with your ERP so problems are spotted earlier and resolved faster.

Machines and sensorsPlant data in one placeFailure predicted earlyEngineerapprovesWork order in your ERP
Case study · Empire IndustriesCentralizing asset management across a diversified enterpriseRead the case study
Experience

From connected machines to intelligent operations

We combine IoT data engineering, machine learning and custom software to build solutions that fit your plant, your processes and your existing systems – without disruptive rip-and-replace projects.

Our manufacturing and industrial work includes centralised IT asset management for Empire Industries, interactive light board simulations for Litezilla, and CRM and analytics reporting for Mal Proff and Farveringen.

78%

of manufacturers surveyed put more than 20% of their improvement budget into smart manufacturing.

Source: Deloitte 2025 Smart Manufacturing Survey, May 2025

Problems we have solved in manufacturing

Each row links to the case study with the full story.

The problemWhat we builtCase study
Each division tracked equipment and stock in its own systems and spreadsheetsOne asset register across every divisionEmpire Industries
Light boards are hard to judge without seeing them in actionInteractive simulations of each board before purchaseLitezilla
Much of how customers engaged online went unmeasuredCustom event tracking and CRM dashboardsMalproff
AI for Manufacturing & Industrial

Where AI reduces downtime and scrap

Unplanned downtime and quality issues are expensive. Our predictive models and AI-assisted quality control help you anticipate failures, reduce scrap and keep production running.

With agentic AI connected to your ERP, routine planning, reporting and procurement tasks can be automated, while your teams stay in control of every important decision.

Services

How we help manufacturers

  • Predictive maintenance with AI
  • AI-led quality control
  • Agentic AI in ERP workflows
  • 2D and 3D digital twins
  • IoT data platforms
  • Custom assessments and reports
  • Production dashboards & BI
  • Cloud & DevOps for plant systems
  • All our services
Success stories

Related case studies

All case studies
Empire Industries
Case study

Centralizing asset management across a diversified enterprise

Assystant centralized asset tracking and inventory management for Empire Industries, replacing fragmented spreadsheets with one system.

Read the case study
LiteZilla
Case study

Simulating interactive light board experiences

Assystant built interactive React-based simulations that let customers see how Litezilla’s light boards behave before buying.

Read the case study
Mal Proff
Case study

Turning CRM and analytics data into business intelligence

Assystant built a Looker Studio dashboard combining Malproff’s CRM and Google Analytics data into one clear view.

Read the case study
Guides

Related guides

All articles
Guide

AI infusion: how to add AI to legacy systems without a rewrite

AI infusion adds AI capabilities to existing software through APIs instead of replacing it. Learn the architecture, use cases, step-by-step approach a…

Read the article
Guide

MLOps best practices: how to keep AI models reliable in production

MLOps keeps machine learning and LLM systems accurate after launch. Learn the core practices – versioning, CI/CD, monitoring, retraining and governanc…

Read the article
Guide

Digital process automation (DPA): a complete guide for businesses

What digital process automation (DPA) is, how it differs from RPA and BPM, which processes to automate first and how AI agents extend it.

Read the article
Guide

How to scope an AI proof of concept that reaches production

Business outcome, use case, data checks, success criteria and a go/no-go decision.

Read the article
FAQ

Frequently asked questions

How is AI used in manufacturing?

Common uses are predictive maintenance from machine data, AI-assisted quality inspection, demand forecasting and asset tracking connected to your ERP.

Can you centralise asset and inventory data across plants or divisions?

Yes. For Empire Industries we replaced divisional spreadsheets with one asset and inventory management system across the organisation.

Do you build software for manufacturers’ customers too?

Yes, for example interactive product simulators like the light-board simulations we built for Litezilla.

Get in touch

Let’s find where AI pays off in your industry

Tell us about your business and the workflow you want to improve. We’ll share what has worked in similar projects and recommend where to start.

During Indian working hours, we usually reply within a couple of hours.

Schedule a free consultation

A short call with a senior consultant. No obligation.

Required. We use your details only to reply to your request. Privacy policy

What you get

  • An NDA from the first conversation
  • You own the IP in what we build for you
  • A senior team you can reach
  • 100+ projects delivered since 2014
  • Clients in 20+ countries
  • A start within a month at the latest

What happens next

  1. 01We call you at a time that suits you
  2. 02We look at your workflow and find where AI pays off
  3. 03You get a proposal with the business case