Connected plant, decisions you can anticipate.
We help industrial environments improve efficiency, reliability and decision-making through automation, analytics and predictive solutions.
What we see most
What we see most often in industry
- 01
SAP, Dynamics or Solmicro data only consulted by 3 people
The information is in the system, but only those who know how to build the report see it. The rest of the team asks and waits. Only 44% of SMBs use their ERP or CRM as single source of truth (INE TIC 2024).
- 02
Reactive maintenance, not predictive
Action is taken when something breaks. The cost of stopping a line on WinCC, AVEVA or Ignition is far higher than predicting the failure, and only 11.4% of Spanish companies with more than ten employees use AI (ONTSI, 2024).
- 03
Manual traceability between plant and office
Production reports are transcribed by hand, plant issues take hours to surface upstairs and quality finds deviations only after they reach the customer. In food manufacturing, rebuilding a batch's traceability by hand can take days.
- 04
OEE and operational KPIs not updated in real time
The dashboard is updated on Monday with Friday's data. By the time an OEE, scrap or cycle deviation is detected, it's too late to correct the shift.
- 05
Planning by intuition and knowledge in few heads
Each line has a constraint, but planning relies on the production manager's intuition and machine setups live in veterans' heads. Over 70% of industrial companies cite the digital talent shortage as their main barrier (Smart Industry 2025).
How we solve it
How we solve it
Business intelligence layer on top of your ERP
Ask in natural language about data from SAP Business One, Dynamics 365 BC, Sage 200, Solmicro or your custom ERP. Answer in seconds on Power BI, without asking IT for a report.
Predictive maintenance connected to your SCADA
Sensor readings and usage patterns via OPC UA or Modbus from Siemens WinCC, AVEVA InTouch, Ignition or Rockwell FactoryTalk. Models trained on your history to anticipate failures before the line stops.
Real-time plant dashboards
OEE, production per line, scrap, cycle time, defects. Updated live from your MES and SCADA. Without waiting for the shift close.
Planning and bottleneck optimization
Models that analyze your production history to identify real constraints, suggest optimal sequencing and anticipate the impact of a plan change.
Use cases
Use cases in industry and production
Predictive machinery maintenance
Models that anticipate breakdowns and unplanned downtime from sensor and production data. Scheduled maintenance, not reactive.
Quality anomaly detection
Algorithms that detect defects or process deviations in real time, before the entire batch is affected.
AI-driven production optimization
Models that adjust process parameters to maximize yield, reduce waste or save energy.
Computer vision on the line
Automatic visual inspection of parts, products or labeling. Detects what the human eye only sees after hours of fatigue.
Production traceability and reporting
Plant data consolidated in real time for production, quality and management. Each batch traceable back to raw materials.
Who this fits
When this fits your plant
Plants with intensive machinery
Where one hour of downtime costs thousands of euros and reliability is critical.
Companies with critical quality processes
Where a small deviation has serious consequences for the end customer or compliance.
Manufacturers with multiple lines and SKUs
Where planning and changeover consume hours per week.
Industries under cost pressure
Where optimizing consumption, energy or raw materials is a clear margin lever.
FAQ
Frequently asked questions
4 frequently asked questions
Yes. We work on top of the ERPs most used by Spanish industrial SMBs via REST/SOAP API, OData or direct database connection. We don't migrate your ERP; we build on top of it.
Yes. For plants with sensitive data or isolated OT environments, we deploy models on your infrastructure. Compatible with industrial networks without internet access.
Yes. We have experience connecting with SCADA and MES via OPC UA (modern standard) and Modbus (legacy sensors). In Siemens plants we work with Profinet; in Rockwell, with EtherNet/IP. The AI or BI layer is built on top without touching the OT.
Yes. Batch traceability has been mandatory across the chain since 2005 (Regulation 178/2002) and IFS and BRC certifications require rebuilding it fast. We connect scales, plant and ERP so every batch is traceable back to raw materials without paperwork, including SANDACH records where applicable.
