Twingz shows where anomalies in electrical infrastructures occur, why they are happening, and guide how to fix them
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Detects voltage fluctuations, harmonic distortion, current asymmetry and many more
Pinpoint the root cause instantly and resolve issues with clear recommendations
Predict safety-critical patterns early and prevent electrical surges, fires, or blackouts and increase operational resilience
See electrical failures coming and estimated time of impact. Before failures cause downtime or disrupt operations
Use twingz’ anomaly and pattern data as a shared guide that learns from every fix and helps your team become experts
Leverage real-time infrastructure data to meet EU and US regulatory standards
Shift from reactive servicing to a proactive maintenance approach based on actual equipment conditions
Schema — View where critical anomalies are occurring in your e-hierarchy
Anomaly — Classifies anomaly type, eliminating manual signal checks
Root cause and consequences — Shows what’s causing the anomaly, how often it occurs, the estimated failure time, and key risks to prioritise fixes
Resolution — Recommends next best actions based on similar past cases
Ingests flow data directly from sensors and devices or via gateway
Collects the data, cleans, and aggregates e-schematice for upstream analytics
Applies purpose built ML models and algorithms for real-time analytics
Provides real-time alerts and makes anomalies, root causes and next actions clear
Twingz delivers ML powered actionable insights to prevent defects and outages in electrical infrastructures. Learn more
Prevent power quality issues, e-outages, and costly interruptions
Use twingz directly to detect and prevent electrical failures and outages backed by proven domain expertise — without building ML in-house
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Embed twingz intelligence into your existing offering and deliver predictive capabilities instantly to your customers
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The PV-DiStAnS-3 project, funded by a €2m BMWK grant, aims to boost PV safety and efficiency. Using twingz’s eGuard AI, the consortium analyzes differential currents to detect anomalies. This predictive approach prevents fires and blackouts, optimizing asset value through proactive maintenance
By white-labelling Twingz, we deliver diagnostic intelligence under our own brand, giving customers clearer insights, faster resolution, and a more reliable experience. It strengthens our product offering while reducing support load and building trust.
At the e-talk, Transtank presented modernizing a hazardous TN-C-S grid to a monitored TN-S structure. Using twingz eGuard AI at the central grounding point, they detect anomalies to enable proactive maintenance, ensuring safety and resilience against leakage currents in Ex-zones.
Proven across deployments, with alerts consistently achieving >90% reliability
Less time and costs spent on manual anomaly and root-cause investigations
Less effort and time spent on certifications and audits through automated monitoring
Fast rollout with integrated ML model training, validation and tuning
Implement twingz on a selected part of your infrastructure, understand the benefits, and scale confidently. We support pilots, PoCs, tenders or teams building the case for next year’s budget.
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