
ADVANCED TECHNOLOGIES FOR ANOMALY DETECTION IN MULTIVARIATE TIME SERIES
With DeepAnT consulting from mAInthink we set new standards in real-time anomaly detection
Data volumes are growing exponentially – yet insights are often elusive. Companies collect millions of data points every day, but the real challenge lies in identifying relevant deviations in this noise before they lead to security risks, production downtime, or financial losses.
This is precisely where DeepAnT consulting comes in – our deep learning-based solution for anomaly detection in multivariate time series, developed by mAInthink.ai.
Why DeepAnT?
🔍 Multivariate Intelligence
Unlike traditional models, DeepAnT not only detects outliers in individual variables, but also understands the interplay of multiple data streams over time. This makes even complex, context-dependent anomalies visible – for example, when individual metrics behave normally, but their combination indicates a system failure.
⚡ Real-time and scalable
DeepAnT works fast. Very fast. While traditional methods such as ARIMA, rPCA, or LSTM often only work retrospectively or require significant computational effort, DeepAnT detects deviations in real time – even in highly dynamic IT environments with thousands of data channels.
🛠 Ready for practical use
Whether in IT security, predictive maintenance, or financial risk management – DeepAnT is used by companies that don't have time for guesswork.
Your benefits at a glance:
- Rapid response to impending failures or attacks
- Significantly fewer false alarms thanks to context-based analysis
- Scalability for growing data volumes and complex infrastructures
- Transparent explanation of the patterns and anomalies detected
Clarity instead of chaos
If you are responsible for stability, security, or efficiency in your company, it's time to consider intelligent anomaly detection. Because:
Knowledge is good. Recognizing patterns is better.
📩Let's talk.
We'll show you how to identify risks before they escalate with DeepAnT.
