Dianomic and Boon Logic partner to deliver advanced anomaly detection for industrial data pipelines and IIoT

Dianomic and Boon Logic partner

Industrial computing solutions specialist Dianomic Systems and embedded machine learning pioneer Boon Logic have announced a strategic partnership to deliver faster, more scalable anomaly detection for thousands of performance metrics across a wide range of industries, along with real-time data quality inspection before data is sent and stored in systems of record, operational systems or clouds.

The collaboration integrates Boon Logic’s Amber AI technology into Dianomic’s FogLAMP Suite platform, providing significant advancements in both operational technology (OT) data management and monitoring of sensors, parts, assets and product condition. This combination delivers tangible benefits to multiple sectors, including:

Manufacturing: earlier detection of equipment failures, reducing downtime and maintenance costs.

Energy: improved monitoring of power generation and distribution systems for enhanced grid stability.

Transportation: real-time analysis of vehicle telemetry data for predictive maintenance and safety.

Pharmaceuticals: enhanced monitoring of manufacturing processes to ensure product quality, compliance and safety.
“By partnering with Boon Logic and integrating Amber AI into FogLAMP, we’re empowering our customers with unparallelled anomaly detection capabilities,” said Tom Arthur, CEO of Dianomic Systems. “This collaboration marks a significant leap forward in industrial data analytics and intelligent automation.”
Amber is an AI-based predictive maintenance tool that leverages Boon Logic’s patented nano-clustering technology to revolutionise unsupervised machine learning. Amber simplifies and accelerates AI development and deployment, particularly in the domains of visual inspection and preventive maintenance. Benefits of the integration with FogLAMP include:
Real-time anomaly detection: leveraging Amber AI’s unsupervised machine learning algorithms, FogLAMP can now identify anomalies in streaming data with millisecond latency; leveraging the FogLAMP Suite, Amber AI can now be used on any data source integrated with any data destination.

Scalability: the solution can efficiently process thousands of sensor inputs and performance metrics simultaneously across the enterprise.
Adaptability: Amber AI’s self-learning capabilities allow it to automatically adjust to changing conditions without manual retraining.
Data quality inspection: before data is sent to historians, operational systems or the cloud, Amber AI can identify and flag potential data quality issues, such as sensor failures or unexpected trends. FogLAMP can then notify, clean and enforce policies for “bad” data preventing its spread.


“We’re excited to join forces with Dianomic to bring Amber AI’s advanced anomaly detection and data quality inspection to a broader range of industrial applications,” said Grant Goris, CEO of Boon Logic. “This integration will help businesses across sectors to identify issues faster, optimise operations, and ensure data integrity.”