Kayak Analytics is the industrial AI partner for energy assets. We build personalized AI-data analytics applications that help operators reduce operational costs, boost revenues, and turn fragmented telemetry into action across solar, wind, hydro, substations, and BESS. Our platform is infrastructure- and protocol-agnostic, unifying SCADA/IoT, big data warehousing, weather forecasting, vibration signatures, I–V curves, DGA chemistry, and physics-based models into a single intelligent ecosystem.

Kayak goes beyond dashboards. We help teams move from reactive monitoring to predictive and prescriptive action through digital twins, smart alarm correlation, automated reporting, natural-language insights, and AI copilots that surface anomalies, explain root causes, and support faster operational decisions.

Our solutions span solar performance diagnostics, wind predictive maintenance, hydro performance analytics, transformer and substation intelligence, and BESS forensic analytics. In practice, that means everything from string-level solar fault detection and weather-normalized performance analysis, to gearbox misalignment prediction, relay-file analytics, thermal anomaly detection, remaining useful life estimation, and cell-level state-of-health tracking.

Built by domain experts in energy systems, AI, atmospheric science, big data, vibration analysis, and renewable operations, Kayak combines deep engineering with advanced data science to simplify the complex and make high-value decisions easier at scale. The team materials highlight experience spanning 35 years in thermal plant industry, 30 years in vibration analysis, 25 years in weather forecasting, 20 years in datacenter management, and 15 years each in AI/ML and renewable energy.


Kayak Analytics

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Kayak Analytics

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