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Zipher

Zipher builds an autonomous execution layer that orchestrates, predicts and auto-heals cloud data and AI infrastructure for enterprise data teams.

Zipher builds the Autonomous Execution Layer for cloud data and AI workloads - an intelligent compute layer that dynamically orchestrates clusters, predicts bottlenecks and auto-heals infrastructure in real time. The company's stated aim is to let enterprise data teams scale without manual intervention, turning static workloads into dynamic operations.

Its product suite includes the Autonomous Execution Layer itself, which provides dynamic cluster configuration, workload-aware autoscaling, spot-loss mitigation and cross-cloud visibility, with optimization performed at sub-second latency. An ML-powered engine underpins this work, learning seasonality patterns, predicting data loads before each run and selecting precise resources based on availability and historical data.

Zipher operates in the cloud data, artificial intelligence and enterprise data sectors. Technical work spans machine learning, cloud computing, AI workloads, infrastructure orchestration, autoscaling, predictive workload modeling and infrastructure automation. The company has raised $50M and counts global enterprise customers among them Fortune 500 companies.

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