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Autonomous Observability Platform1-10 Employees
  • B2B
  • Early Stage
    Startup in initial stages
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Autonomous Observability Platform
Distributed systems like Kubernetes are inherently prone to cascading failures. Our contextual AI software reduces monitoring and troubleshooting overhead for cascading failures. It relieves engineers from health rule maintenance, alarm fatigue, and brute-force debugging. Our AI software uses unsupervised anomaly detection for streaming data, dynamic alarm ranking, and time-series correlation ranking for causality detection.
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Rajat Ghosh
Avatar for Rajat Ghosh
Founded AdeptDC, PhD from Georgia Tech
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