Industrial AI Agents
Secure assistants that work with your production data and knowledge.
The industrial problem
Production knowledge is scattered across machine data, alarm logs, maintenance records, manuals, and the heads of experienced engineers. Finding the right information during a breakdown or a quality investigation takes time that production does not have.
How it works
We build AI agents that are connected to your real company data: production databases, machine history, alarms, maintenance records, technical documentation, and internal knowledge. Operators and engineers ask questions in natural language and get answers grounded in your own data – with references to the source.
These are not generic chatbots. They are integrated industrial tools connected to machines, databases, documents, and workflows – and they can run fully on-premise or in a private environment when production data cannot leave the factory.
Typical data sources
- Production and machine databases
- Alarm and event logs
- Maintenance records and CMMS history
- Technical documentation and manuals
- Quality records
- Internal engineering knowledge
Business value
- Faster troubleshooting during breakdowns
- Machine data accessible by natural-language questions
- Automated shift and production reports
- Engineering knowledge preserved and searchable
Deployment architecture
- 1Company data sources indexed inside your network
- 2Local language models run on on-premise GPU hardware
- 3Agents combine data, documents, and rules per use case
- 4Web interface or integration into existing tools
Integration
- Connects to SQL and time-series databases
- Reads document archives and file shares
- On-premise or private-cloud language models
- Access control aligned with your IT policies
Example use cases
- Maintenance assistant that suggests checks from machine history
- Alarm interpretation and machine troubleshooting guidance
- Technical documentation search across manuals and drawings
- Automated shift report and production report generation
- Quality issue investigation across data and records
- Operator guidance for setup and changeover
Interested in this solution?
Tell us about your machines and processes – we will propose a practical architecture and a pilot you can evaluate.
Discuss your project