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Integrated Environmental Data Lake for Real-Time Monitoring & Classification

Integrated Environmental Data Lake for Real-Time Monitoring & Classification

Public Services
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We built an environmental data lake that turns heterogeneous monitoring streams into a coherent operational picture. The platform ingests measurements from field sensors, laboratory…

Real-Time Industrial Anomaly Detection for Plant Operations

Real-Time Industrial Anomaly Detection for Plant Operations

Industrial
Show project

We built a real-time anomaly detection and monitoring platform for industrial operations where early deviation matters more than post-mortem analysis. The system ingests high-frequency…

Public Services

Integrated Environmental Data Lake for Real-Time Monitoring & Classification

We built an environmental data lake that turns heterogeneous monitoring streams into a coherent operational picture. The platform ingests measurements from field sensors, laboratory…

  • Strategy

    Standardise ingestion and harmonisation across sensor, spatial, and document sources, then layer real-time classification and traceable lineage so teams can act quickly without sacrificing evidence and governance.

  • Design

    Streaming and batch ingestion into a lakehouse foundation, geospatial-temporal indexing and schema alignment, AI services for anomaly detection and event classification, and dashboards plus APIs that operational teams use for triage and reporting.

  • Client

    Public sector environmental agencies and infrastructure operators in the EU.

  • Tags

    anomaly-detection, classification, data-lake, environment, geospatial, lakehouse, monitoring, streaming

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Industrial

Real-Time Industrial Anomaly Detection for Plant Operations

We built a real-time anomaly detection and monitoring platform for industrial operations where early deviation matters more than post-mortem analysis. The system ingests high-frequency…

  • Strategy

    Align streaming plant data with maintenance and operator context, then apply mode-aware anomaly detection and incident grouping to surface actionable deviations with low noise.

  • Design

    Streaming ingestion and lakehouse modelling with asset hierarchies, time-series anomaly detection and incident enrichment services, and dashboards plus APIs that connect alerts to maintenance and investigation workflows.

  • Client

    Manufacturers and industrial operators in the EU and wider EMEA region.

  • Tags

    anomaly-detection, lakehouse, manufacturing, operations, predictive-maintenance, reliability, streaming, time-series

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