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anomaly-detection

Integrated Operational Intelligence Platform for Asset Health & Work Management

Integrated Operational Intelligence Platform for Asset Health & Work Management

Industrial
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We built an integrated operational intelligence platform that connects real-time equipment signals with enterprise operational data to give teams a single, trustworthy view of…

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
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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…

Clinical Decision Support Platform for Early Deterioration Detection

Clinical Decision Support Platform for Early Deterioration Detection

Health
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We built a clinical decision support platform that consolidates patient signals into an operational view for early detection of deterioration. The system ingests vital…

Industrial

Integrated Operational Intelligence Platform for Asset Health & Work Management

We built an integrated operational intelligence platform that connects real-time equipment signals with enterprise operational data to give teams a single, trustworthy view of…

  • Strategy

    Build a unified asset-centric data layer, then deliver AI-driven detection and prioritisation tightly integrated into operator and reliability workflows.

  • Design

    Streaming and batch ingestion into a lakehouse foundation, asset identity and event alignment services, ML/NLP analytics layer, and workflow-ready dashboards plus APIs.

  • Client

    Enterprise energy operators in the EU

  • Tags

    ai, anomaly-detection, data-platform, forecasting, iot, nlp, operations, predictive-maintenance

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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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Health

Clinical Decision Support Platform for Early Deterioration Detection

We built a clinical decision support platform that consolidates patient signals into an operational view for early detection of deterioration. The system ingests vital…

  • Strategy

    Unify bedside, lab, medication, and narrative signals into patient timelines, then apply context-aware risk modelling and explainable prioritisation to reduce missed deterioration and accelerate escalation.

  • Design

    Clinical data ingestion and harmonisation into a secure lakehouse, AI services for forecasting and anomaly detection with NLP enrichment, and clinician-facing workflows for prioritised review, validation, and escalation tracking.

  • Client

    Healthcare providers and hospital networks in the EU.

  • Tags

    anomaly-detection, clinical, healthcare, nlp

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