
Industry and Logistics
The international industry is strongly adopting the technologies of the so-called Four Point Zero Industry: connected sensors, artificial intelligence applied to production and optimization of supply chains. These are high-value, long-term contracts, with clients seeking measurable results in productivity, quality and predictability.
Key sector products
Computer Vision
Image and video analysis: object detection, advanced OCR, quality inspection and counting.
IoT and Edge Computing
Collection, processing and visualization of data from sensors and devices. Integration with IoT platforms.
Digital Twin Operational
Digital twin for logistics, industry or energy: simulation, optimization and prediction.
Demand Forecast
Predictive models to anticipate volume of orders, attention, occupancy or production. Basis for resource planning.
MLOps and LLMOps
AI model lifecycle pipeline: training, versioning, deploying, monitoring, retraining and governance.
Data Lakehouse
Unified data architecture (data lake + data warehouse). Ingestion, transformation (ETL/ELT), catalog and governance.
Observability and Monitoring
Observability stack (metrics, logs, traces) for applications and infrastructure. Alerts, dashboards and correlation.
Sub-niches in Industry and Logistics
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