E2E Platform for industrial electrical infrastructures
Detect anomalies faster, find the root cause — and act on predictive insights
Twingz shows where anomalies in electrical infrastructures occur, why they are happening, and guide how to fix them
Detects voltage fluctuations, harmonic distortion, current asymmetry and many more
Twingz Identifies Electrical Anomalies and Their Root Cause Before They Impact Safety and Operations
Efficiency
Get to the Root Cause
In Minutes, not Days
Pinpoint the root cause instantly and resolve issues with clear recommendations
Safety
Detect Safety Risks Before They Become Incidents
Predict safety-critical patterns early and prevent electrical surges, fires, or blackouts and increase operational resilience
Maintenance
Increase Critical Asset Lifetime and Availability
See electrical failures coming and estimated time of impact. Before failures cause downtime or disrupt operations
Knowledge
Deepen Knowledge of System and Processes
Use twingz’ anomaly and pattern data as a shared guide that learns from every fix and helps your team become experts
Safety
Automate Electrical Safety Audits and Certifications
Leverage real-time infrastructure data to meet EU and US regulatory standards
Maintenance
Enable Predictive Maintenance
Shift from reactive servicing to a proactive maintenance approach based on actual equipment conditions
White-label. Embeddable. Plug-and-play.
Instant root cause diagnostics and guided resolution powered by AI/ML and your proprietary data
Schema —
View where critical anomalies are occurring in your e-hierarchy
Anomaly —
Classifies anomaly type, eliminating manual signal checks
Root cause and consequences —
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
How twingz works
Data Collection
Ingests flow data directly from sensors and devices or via gateway
Data Preparation
Collects the data, cleans, and aggregates e-schematice for upstream analytics
Intelligence
Applies purpose built ML models and algorithms for real-time analytics
Actionable Insights
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
Developed for critical industries and operations
Industrial Manufacturing
Industrial Process and High-Risk Industries
Semiconductor & Electronics Manufacturing
Consumer Food and Beverage
Renewables
(PV/Solar/Wind/ BESS)
E-Mobility
(EV Charger Networks)
Data Centers
(AI)
Other industries and application areas
Who we work with
We work directly with industrial end-users and through strategic partners
B2B
For Industrial Customers
Use twingz directly to detect and prevent electrical failures and outages backed by proven domain expertise — without building ML in-house
OEM / Resell / Service Companies
For Partners
Embed twingz intelligence into your existing offering and deliver predictive capabilities instantly to your customers
Whitelabeling
Resell / Co-sell
Some of the customers who trust us include
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.
Mario Sembritzki
Head of Technical Sales, Doepke
1/3
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.
Marcus Schwamborn
Projektleiter EMSR bei der TransTank GmbH and Sascha Toth, VefK bei Transtank
2/3
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
Manuel Zimmermann
Business Development Manager & Senior Consultant @Funk Gruppe, member of the PVD3 Team
3/3
Our strengths in numbers
Min. 90%
Anomaly and root cause detection accuracy
Proven across deployments, with alerts consistently achieving >90% reliability
85%
Reduction in maintenance and engineering effort
Less time and costs spent on manual anomaly and root-cause investigations
Avg. 30%
Lower internal and external compliance costs
Less effort and time spent on certifications and audits through automated monitoring
4-6 weeks
Full deployment with anomaly detection and control
Fast rollout with integrated ML model training, validation and tuning
Start with twingz —
easy and at your own pace.
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.
News and resources
What’s new at twingz
White Paper
Structural grid problems
Download PDF
Case Study
ENERPARC
Download PDF
Event
Join us for on a largest European conference
View details
Case Study
Transtank