Ezako is a startup specializing in machine learning, Artificial Intelligence, and time series analysis. Ezako created Upalgo, a time series augmented analytics platform. Upalgo uses AI to automatically detect anomalies in streaming time series data. Ezako’s customers are predominantly in the aerospace, automotive, and telecom sectors. Their clients’ data is mostly sensor and telemetric data.
Ezako uses InfluxDB to power Upalgo, their time series management platform. After considering multiple time series databases, Ezako picked InfluxData’s solution to meet their time series data requirements. With InfluxDB as their chosen time-stamped data store, Ezako’s team can focus on providing clients with the best machine learning models and anomaly detection.
20 million +
Number of data points required to make machine learning models
Improved anomaly detection
Better historical data collection and analysis
Increased competitive advantage
Enabling their teams to focus on their expertise instead of data collection
Technologies Used
- InfluxDB
- One-Class SVM and Isolation Forest ML models
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