Intelligent infrastructure for critical operations
Real-time data platforms, predictive maintenance, trading systems and process automation, for industries where downtime is not an option.
Engineering for systems that cannot go down.
IoT at industrial scale
Industrial assets don't announce failures, they signal them. Sciensa's IoT infrastructure captures these signals across 50,000+ assets, runs real-time anomaly detection and surfaces maintenance predictions before failures become outages. Global clean energy investment reached $1.8 trillion in 2023. (IEA (2024))
Predictive maintenance, not reactive
Predictive maintenance is not about predicting failures, it is about eliminating unplanned downtime as a category. Sciensa's platform moves energy operators from reactive schedules to data-driven intervention windows. (WEF (2025))
Engineering for critical infrastructure
Where downtime is not an option, we build resilience.
Critical Operations Systems
SCADA integration, real-time operational dashboards and alert management for energy generation, transmission and distribution.
- SCADA integration
- Real-time dashboards
- Alert management
- Operational intelligence
Real-Time Data Platforms
IoT data ingestion, time-series analytics and operational intelligence platforms processing millions of sensor readings per second.
- IoT data ingestion
- Time-series analytics
- Sensor data pipelines
- Edge computing
Predictive Maintenance
ML models for equipment failure prediction, maintenance scheduling optimization and asset lifecycle management.
- Failure prediction
- Maintenance scheduling
- Asset lifecycle
- Anomaly detection
Energy Trading Platforms
Market data integration, automated trading systems, risk management and regulatory reporting for energy market participants.
- Market data integration
- Automated trading
- Risk management
- Regulatory reporting
Process Automation at Scale
Field workforce management, work order automation and process orchestration for large-scale utility operations.
- Field workforce management
- Work order automation
- Process orchestration
- ESG analytics
Results in production.
Predictive Maintenance Platform
ML predictive maintenance reduced unplanned outages by 35% and maintenance costs by 25% across 50K+ monitored assets.
Real-Time Operations Platform
Unified operations platform processing 10M+ sensor readings/day with real-time alerts and 99.9% system availability.
Energy Trading System
Automated trading platform with risk management and regulatory reporting, processing 500K+ daily trading events.
AI intelligence for critical energy and utilities assets.
Lumia AI brings predictive maintenance, anomaly detection across 50K+ assets, energy trading analytics and automated ESG reporting.
Módulos & capacidades
// FAQ
Frequently asked questions.
Reactive maintenance fixes equipment after it breaks. Preventive maintenance services on a fixed schedule. Predictive maintenance uses sensor data and ML to identify the specific signature that precedes a failure, scheduling maintenance only when needed.
IoT sensors capture operational data, temperature, pressure, vibration, current draw, at high frequency. The platform aggregates data across thousands of assets, runs anomaly detection and surfaces alerts before failures occur.
Edge computing processes data close to where it's generated rather than sending all data to a central cloud. Some decisions require sub-second response times that cloud round-trips can't achieve. Edge and cloud work together.
High-throughput ingestion pipelines, time-series databases optimized for sensor data, streaming processing for real-time anomaly detection, and visualization that allows navigation from fleet-level overview to individual asset detail without latency.
Energy trading platforms manage buying and selling of electricity across spot markets, futures and bilateral agreements. Data intelligence improves trading by forecasting variable generation (wind, solar), predicting consumption patterns and optimizing bidding strategies simultaneously.
Ready to modernize your energy infrastructure?
Talk to our team about your operational platform and predictive analytics challenges.