INNOV-Datafactory harnesses the power of data to improve industrial and environmental performance. We help companies collect, structure, and interpret their operational data to improve quality, productivity, and decision-making. Our approach combines IoT sensors, artificial intelligence, digital twins, and interactive visualization tools designed for decision-makers, technicians, and operators.
What we are currently doing
Data collection and integration: deployment of IoT sensors (temperature, vibration, humidity, energy, flow, pH, etc.) connected via LoRaWAN, industrial Wi-Fi, or wired networks.
Structuring and cleaning: processing of raw data from multiple sources (sensors, PLCs, SCADA, ERP, Excel, external databases) to create a consistent and traceable dataset.
Visualization and interactive dashboards: design of custom interfaces with Power BI, Grafana, Dash, or internal web applications, enabling:
real-time monitoring of key indicators (quality, production, yield, energy) comparison of batches, tests, or production cycles
visual detection of performance deviations or drifts
Traceability and automated monitoring: integrated solutions for monitoring processes, quality, or environmental conditions, with automatic alerts.
Simplified digital twins: simulation of processes or machines to understand and predict behavior before modification.
Applied AI and predictive analytics: anomaly detection, yield or failure prediction, quality control through supervised learning.
Transfer and training: introduction to reading, interpreting, and visualizing data for a data-driven culture.
Deliverables / Expected results
Digital diagnostic report: system status, data sources, IoT/AI integration potential.
Dynamic dashboards for monitoring quality, processes, or environmental parameters.
Customized visualizations: graphs, maps, 3D or thermal views, configurable according to user needs.
Digital twin prototype or predictive model (e.g., fermentation monitoring, machine performance, energy consumption).
Plan for the gradual integration of sensors and visualization tools (short and medium term).
Report validating performance and measured gains.
Skills transfer: user guide, training in reading and interpreting data.
