Smart Meter Anomaly Detection Platform

We conduct a comprehensive assessment of your existing smart meter data streams, ingestion pipelines, and storage infrastructure. We identify gaps and design a scalable, real-time processing architecture capable of handling millions of daily readings. This ensures data quality and availability for high-accuracy model training.

Learn more about our approach to Multimodal AI Data Pipelines and Integration.

Our data scientists engineer custom ensemble models—combining time-series analysis, graph neural networks, and unsupervised learning—trained on your historical data. We rigorously validate against known anomalies to achieve 99.5% detection accuracy while minimizing false positives. All models are developed with Algorithmic Fairness and Bias Mitigation principles to ensure equitable performance across all customer segments.

We deploy the validated models into a high-throughput, low-latency inference engine optimized for your cloud or on-premises environment. The system processes streaming data, flags anomalies in near real-time, and integrates alerting with your existing SCADA or utility operations platforms. Our deployment includes full monitoring and logging.

This leverages our expertise in AI Supercomputing and Hybrid Cloud Architecture.

We ensure seamless integration with your billing systems, field workforce management tools, and customer information systems. Our team provides comprehensive documentation, operator training, and establishes a continuous monitoring framework. We transition to a support model with defined SLAs, ensuring long-term platform performance and enabling your team to own the workflow.

Our process is informed by Enterprise AI Governance and Compliance Frameworks.