AI & Automation · Manufacturing operations
AI Development Company for manufacturing
Production is tracked on paper or in a spreadsheet that one person maintains, the ERP is a day behind the floor, and every site keeps its own version of the stock number.
Why this is different here
Automation that removes hours, not headlines
The automation that pays back in manufacturing is unglamorous: reading production data without transcription, catching a quality deviation at the line rather than at the end of the shift, and generating the paperwork somebody currently assembles by hand.
What we build
Typical scope for manufacturing operations
Shop-floor logging app
Tablet or kiosk entry at the line, built for gloves and bad lighting
Downtime and scrap capture
Reason codes at the moment it happens, not reconstructed later
Digital work orders and travellers
The job packet on a screen, with the current revision
Multi-site stock view
One number per SKU across every plant and outlet
ERP sync
Production, consumption and stock moving both ways on a schedule you set
Operations dashboards
Output, yield and downtime by line, by shift, daily
What the service includes
AI & Automation at Voliom
- Automation audit: which tasks are worth automating and which are not
- LLM features: assistants, summarisation, extraction, classification
- RAG over your own documents, with citations and guardrails
- Workflow automation across your existing tools and CRM
- Evaluation and monitoring so quality is measured, not assumed
- Cost controls and rate limits so bills stay predictable
FAQ
Common questions
Do you have experience in manufacturing operations?
We build operations software for this kind of business, which is a different claim from being a manufacturing specialist and we would rather make the honest one. What we bring is the engineering and the pattern recognition from similar operations. What you bring is how your plant, depot or site actually runs, because that part is never in a case study.
How do you start on a AI and automation project here?
We usually start with one line or one plant, four weeks, and a working app the operators actually use. If it does not survive contact with the floor there is nothing to roll out.
What does it cost?
Scope decides it and we quote line by line after a call. Two tracks: a blended squad at roughly $24 to $45 per hour, or a senior-only pod at roughly $75 to $120 where architecture review and a compressed timeline matter. A first project in this space usually runs four to six weeks.
Which AI models do you use?
Whichever fits the job and the budget — usually Claude, GPT or an open model we host. We design so the model can be swapped without rebuilding your product.
Keep exploring
More for manufacturing operations
- All manufacturing operations workOperators log production on paper, and somebody types it in the next morning
- Web App Development for manufacturingFast, maintainable web products that your team can keep building on.
- Dedicated Development Teams for manufacturingSenior engineers who join your team, not a black box agency.
- AI & Automation overviewPut AI where it removes work, not where it looks impressive.
Let's talk
Tell us what you're building.
Get a free 30-minute strategy call. You'll leave with a clear plan, a realistic estimate and our honest opinion — whether or not you work with us.
- Email usmail@voliom.com