What we build
Whether it's a SCADA system from the 90s or a modern production line with no digital visibility, we've connected them all. Here's what we do.
System integration
The ERP doesn't talk to the production line, SCADA is an island, and you check three systems to answer one question. Most factories run this way, but it doesn't have to stay like that.
Common challenges
- Legacy systems without modern APIs
- Vendor lock-in making data extraction difficult
- Multiple data sources needing unified view
- Real-time synchronization between systems
Our approach
- Map existing systems and data flows
- Design integration architecture
- Build connectors and middleware
- Deploy with monitoring and failover
Industrial IoT
Someone walks the floor with a clipboard, reads a gauge and types the number into Excel. That was fine twenty years ago, but now we wire the source directly to your screen so those numbers update on their own.
Common challenges
- Equipment without digital connectivity
- Multiple protocols (OPC-UA, Modbus, MQTT)
- High-frequency data collection requirements
- Harsh industrial environments
Our approach
- Assess equipment and connectivity options
- Design sensor and gateway architecture
- Deploy edge devices and networks
- Build data pipelines and storage
Predictive maintenance
Unplanned downtime is expensive, but replacing parts on a calendar isn't the answer either — you end up swapping healthy bearings just because the schedule says so. We monitor the actual condition of your equipment and alert you when something is changing, weeks before it breaks.
Common challenges
- Unexpected equipment failures
- Over-maintenance of healthy assets
- No visibility into equipment health
- Reactive instead of proactive culture
Our approach
- Instrument critical equipment
- Establish normal baselines
- Train anomaly detection models
- Build alerting and response workflows
Dashboards and analytics
You have the data, but it takes two hours to compile it into something useful, and by then it's already old. We build dashboards that update themselves so the numbers are there when you need them, not after the shift is over.
Common challenges
- Data scattered across systems
- Reports taking days to compile
- No real-time visibility for operators
- Managers flying blind
Our approach
- Define KPIs and metrics that matter
- Design dashboard hierarchy (factory, line, machine)
- Build data pipelines for real-time updates
- Deploy with role-based access
Custom applications
Standard software comes with standard assumptions, and your process isn't standard. When the off-the-shelf tool can't bend to fit, we build what actually matches how you work.
Common challenges
- Unique processes that don't fit standard tools
- Mobile access needed in the field
- Integration with existing systems required
- Specific compliance or security needs
Our approach
- Deep dive into requirements and workflows
- Prototype and validate with users
- Build with modern, maintainable technology
- Deploy and iterate based on feedback
AI and machine learning
AI demos are impressive, but AI in production is hard. We build machine learning that solves actual problems on the factory floor, with measurable results you can point to.
Common challenges
- Hype vs. practical applications unclear
- Data quality issues blocking progress
- Models that work in labs fail in production
- No internal ML expertise
Our approach
- Identify high-value use cases
- Assess and prepare data
- Train and validate models
- Deploy with monitoring and retraining
Not sure where to start?
Describe your situation. We'll listen, ask the right questions, and give you an honest answer about whether we can help and how.
Let's talk