Four services,
measurable results
From sensor connectivity to AI models in production — we cover your complete industrial digital transformation journey with local presence in Guadalajara.
Predictive Maintenance (PdM)
Our flagship product. We combine IoT sensors, vibration/temperature/current analysis and machine learning models to predict equipment failures before they occur — reducing unplanned downtime up to 40%.
- Vibration, temperature and current spectral analysis
- ML models trained on your specific equipment
- Real-time alerts with remaining useful life (RUL) estimates
- MODBUS, OPC-UA and MQTT protocol compatibility
- Edge deployment or cloud (Azure / AWS)
- 90-day pilot with guaranteed ROI metrics
A Tier 1 automotive supplier in Jalisco was experiencing recurring compressor failures causing 8–12 hours of unplanned downtime per month. After deploying our PdM pilot on their critical assets:
Before: 3–4 unplanned stoppages/month · Avg. 10 hrs downtime each · Reactive maintenance model
After 90 days: 1 stoppage/month · Alerts issued 7–14 days before failure · Maintenance scheduled during planned windows
Annual savings: MXN 3.8M in reactive maintenance costs + production loss avoided
Industrial Artificial Intelligence
Beyond predictive maintenance, we deploy custom AI models across manufacturing operations: visual quality inspection, process optimization, demand forecasting and anomaly detection — at the edge or in the cloud.
- Computer vision quality inspection (defect detection)
- Anomaly detection models for process streams
- Production yield and demand forecasting
- Process parameter optimization with reinforcement learning
- Edge inference (Jetson, Raspberry, industrial gateways)
A discrete manufacturer in the Guadalajara metro area needed a quality inspection solution for a high-volume assembly line where manual visual inspection was the primary method.
Solution deployed: Computer vision model on industrial camera + edge inference gateway · 0 cloud dependency
Results: 99.1% detection accuracy · 3× faster than manual inspection · 62% reduction in defective parts reaching final assembly
Industrial IoT Connectivity
Before AI can work, your machines need to talk. We design and deploy the sensor networks, communication protocols and data pipelines that feed your AI and monitoring systems.
- MODBUS RTU/TCP, OPC-UA, MQTT, Profibus integration
- Industrial sensor selection and installation
- Edge gateways + historian configuration
- Azure IoT Hub, InfluxDB, Grafana dashboards
- OT/IT network security architecture
- Real-time monitoring dashboards for plant managers
A CDMX-based food company had zero real-time visibility into their cold-chain and production equipment. Legacy PLCs had no connectivity to modern systems.
Deployed in 6 weeks: 48 sensors · OPC-UA bridge to SCADA · InfluxDB + Grafana dashboards for plant floor and management
Outcome: First company-wide real-time asset visibility · Foundation for PdM deployment in Phase 2
Industry 4.0 Consulting
Not every manufacturer knows where to start with digital transformation. We provide the roadmap, change management, and technical execution to move from reactive operations to a data-driven, AI-augmented plant.
- Digital maturity assessment (Industry 4.0 framework)
- 3-year technology roadmap with phased investment
- MES / ERP integration strategy
- Organizational change management and team training
- KPI definition and OEE / MTBF / MTTR baseline
- Executive reporting and board-level ROI communication
A chemical manufacturer in the Guadalajara metro was spending heavily on reactive maintenance with no visibility into asset health. We deployed a full Industry 4.0 roadmap starting with a digital maturity assessment.
Phase 1 (3 months): IIoT connectivity for 12 critical assets · KPI baseline established
Phase 2 (6 months): PdM deployed · Maintenance team retrained · Reactive maintenance budget reallocated
Year 1 result: MXN 4.2M saved · OEE improved 11 points
Instrumentation & Electrical (I&E)
Before any AI model can predict a failure, your assets need to speak. We design, install, and commission the instrumentation and electrical infrastructure that converts physical signals into actionable data — with NOM-001-SEDE-2012, ISA, and IEC compliance built in from day one.
- CENAM-traceable calibration — eliminating false alarms and bad data in AI models
- PLC / SCADA / HMI: Siemens, Allen-Bradley, Schneider — native OPC-UA integration
- Complete electrical installation compliant with NOM-001-SEDE-2012
- Instrumentation asset management with RCM methodology
- Safety Instrumented Systems (SIS) per IEC 61511 / ISA 84 for critical processes
- Technical training in-plant or at our Guadalajara training center
Standards & norms
The infrastructure that makes predictive maintenance possible
Most Industrial AI projects fail not because of the algorithm — but because field data is unreliable. I&E is the layer that guarantees trustworthy signals: calibrated, continuous, and connected to your digital systems.