Enterprise
Manufacturing
The shop floor already produces measurements that sleep in systems that don’t talk to each other. Bringing them together is often worth more than any model laid on top.
The sector’s needs
- A plant data platform that speaks to every machine generation, modern protocols and legacy controllers alike
- Maintenance driven by measured condition, with the models and thresholds owned and reviewed
- Quality data captured at the workstation and bound to batch, machine and operator, ready for an audit or a recall
- Engineering knowledge served where the work happens, searchable by problem rather than by document reference
- An IT-OT boundary designed and segmented so analytics reach the data without reaching the machines
Delivered across Switzerland, remote-first, with on-site days by arrangement.
Scope boundary
The scope covers agreed shop-floor data, integration and separation. It doesn’t claim industrial safety or control expertise; PLCs, machine safety and critical systems are handled with the manufacturer or a qualified OT specialist.
Examples of what gets built
A shop-floor data foundation
Machines, quality checks and the ERP brought into one place, with one definition per indicator that production and management share.
The data foundation →ERP and shop floor in sync
Production orders flow down to the shop floor and confirmations flow back into the ERP, with no retyping in between.
Connectors between your systems →Condition-triggered maintenance
Alerts based on the real measurements rather than the calendar, with what triggered them shown alongside.
Predictive analysis →Queryable technical documentation
Drawings, routings and procedures reachable from the floor in plain language, with the passage quoted.
Secure AI assistants →Structured quality records
Paper records and forms taken in automatically, with out-of-tolerance values escalated to a person.
Document automation →Shop-floor network segmentation
Production, office and technical equipment separated, with what must talk to what and nothing else.
Private servers and private cloud →Search across shop-floor documentation
Routings, drawings and incident reports found from the problem as described, without knowing the document reference.
Document search →Chains triggered by shop-floor state
Parts ordering, maintenance orders and documentation updated from the same signals, with a supervisor approving.
Business agents →Production tracking out of the workbook
The shared file carrying work orders and scrap becomes an application with permissions, entry checks and a readable history.
The business tool built for you →Records captured at the workstation
Checks, stoppages and interventions captured on a device that works without a network, with the photograph and the time attached to the record.
Capture in the field →Machines and servers past end of support
The workstation driving a machine doesn’t update like the others. It’s inventoried, isolated and moved on risk rather than on age.
Leaving end of support →Shop-floor data and the ERP restored within a decided time
Machine history, the ERP and the documentation receive copies isolated from production and a timed restore. The shop floor knows the delay before the outage, not during it.
Backup and recovery →An assistant over the technical documentation, served inside the plant
The open model runs on a server in the plant and reads the manuals, the procedures and the maintenance history without a document leaving the site. Sizing comes before the machine is bought.
Private AI infrastructure →
Examples of solutions
The data foundation
Your sources reconciled in a governed model, with definitions, owners and controls.
Secure AI assistants
An assistant evaluated on your documents, with sources, permissions, processing and retention written down.
Document search
Finding the right page in the whole archive, in one question.
Document automation
Reading, sorting and extracting whatever arrives by email, PDF or scanner.
Business agents
Tasks chained end to end, with a person at the points that matter.
Predictive analysis
Forecasting demand, consumption or failure, from what you already measure.
The business tool built for you
The spreadsheet that runs the company, turned into a real application.
Connectors between your systems
The bridges between accounting, ERP, CRM and the web, with retries and a log.
Capture in the field
Hours, reports and supporting material captured on site, with offline behaviour, corrections and reconciliation made explicit.
Leaving end of support
Systems past their support date, moved before the incident rather than after.
Private servers and private cloud
Virtualisation, file sharing and remote access on hardware that belongs to you.
Backup and recovery
An isolated copy, a restore performed and timed, then recovery objectives decided per service and rehearsed.
Private AI infrastructure
An open model served on your machines or with a Swiss host, or a gateway to a cloud provider's APIs, sized and measured on your documents.
Relevant experience
Assignments I delivered, described without naming anyone. No logos and no testimonials: what I did, and with what.
Data-pipeline architecture on Google Cloud for an international index and financial-data provider
Airflow · dbt · BigQuery · Terraform
Systems and storage engineering at a global storage-solutions vendor
FC · iSCSI · NAS/SAN
Azure data pipelines for a European solar-energy group
Data Factory · Graph API · Business Central
Why me
- Fifteen years of infrastructure and systems behind the data work, which matters when the machine does not speak
- Network segmentation treated as part of the project rather than a separate subject
- No optimisation product to sell: what gets built is built for your plant
- Code, documentation and access stay yours, with no dependency afterwards
Neighbouring sectors
Energy and utilities
Forecasting, integration with the operating systems, and deviations caught in the measurements.
Healthcare and life sciences
Confidential assistants, research pipelines and document extraction, on data that doesn’t leave.
Logistics and supply chain
Volume forecasting, transport documents and end-to-end visibility.
Test the fit: Manufacturing
Describe the context, constraints and decision you need to make. The first conversation qualifies scope, boundaries and the next useful step.
Describe the situation