[ Industry · Manufacturing ]
AI-integrated software for manufacturing operations and quality
Production data is spread across machines, MES or ERP systems, spreadsheets and paper. Fourtell builds software that brings this information together for planning, quality and maintenance decisions, with AI used where it is reliable and people kept in control.
Typical manufacturing challenges
What software can support
- Consolidated production and quality dashboards
- Alerts on deviations with traceable data
- Planning support connected to ERP orders and stock
- Structured maintenance history and intervention signals
How we work
1 · Diagnostic
Map the current process, data sources, owners and constraints around production, quality and maintenance, and agree a measurable baseline before anything is built.
2 · Scope and architecture
Define the functional scope, integrations, roles, security requirements and acceptance criteria in a written proposal.
3 · Build and pilot
Deliver in short iterations with a pilot group, human review where decisions matter, and written acceptance against the agreed essentials.
4 · Operate and evolve
Run, monitor, maintain and evolve the platform under the agreed service conditions, and compare measured results with the baseline.
Frequently asked questions
Do you install sensors or industrial hardware?
No. We work with data from existing equipment and systems; hardware is provided by your suppliers if needed.
How is a project priced?
Fourtell usually works under a monthly managed-platform fee with a minimum term; acquisition models can also be proposed. Fees, terms, ownership and any IP transfer are defined case by case in the contract — nothing is assumed in advance.
Every engagement starts with a diagnostic conversation. Scope, fees and contract terms are agreed in writing per project.