Ezako, a startup specializing in machine learning, AI, and time series analysis, created Upalgo—a platform using AI to automatically detect anomalies in streaming sensor and telemetric data for aerospace, automotive, and telecommunications clients. Facing challenges with high-frequency sensors generating desynchronized data full of errors and glitches, Ezako leveraged InfluxDB for seamless ingestion, fast querying, and real-time visualization. InfluxDB powered efficient metadata extraction, feature calculation, ergonomic labeling interfaces, AI-driven label propagation across similar patterns, and feedback loops—accelerating data quality improvements, reducing validation errors, and enhancing ML model accuracy for reliable anomaly insights.

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