Managing massive logs, mining data value

Log Anomaly Detection

Leverage the power of log clustering pattern recognition to actively identify and address issues such as error reporting logs, log jumps, and log drops. By analysing historical log data, our system efficiently detects and resolves these problems, ensuring seamless operations.

Time-series Anomaly Detection

Perform comprehensive analysis of anomalies by examining time-series trends, Year-over-Year (YoY) and Month-over-Month (MoM) ratios, baseline deviation, and data fluctuation within log patterns. Our system fully supports unsupervised learning and out-of-the-box functionality, enabling efficient identification and resolution of anomalies.

No Parsing Required

The product facilitates fault discovery by allowing direct usage of raw logs in data analysis, simplifying the delivery process and ensuring out-of-the-box functionality.

High Performance Disposal

Realize real-time analysis of over 10TB of logs per day, achieving latency of less than 2 minutes.


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WSI Corporate Center 1005 Metropolitan Avenue, Corner Kakarong, Makati, 1205 Metro Manila


8 a.m. to 5:30 p.m., Monday-Friday


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