The Intelligent Execution Layer for Agentic Workloads

30%

Average SLA Improvement

100%

Zero-Touch

Up to

25%

Reduction in Workload Failures

Trusted by leading global data teams

Dynamic Workloads Require Dynamic Infra

Dynamic Cluster Configuration

Manual workload configuration isn’t practical. That’s why Zipher autonomously selects the optimal workload settings in real time. Zipher’s ML engine learns seasonality patterns, predicts data loads before each run, and selects the precise resources required based on availability and previous run data.
Workload-aware Autoscaling

Zipher’s autoscaler learns from past run data and leverages workload context to separate noise from real world changes, delivering smoother, more accurate scaling. By only scaling when needed, your workloads stay efficient and cost effective.
Spot-loss Mitigation

Spot offers big savings, but losses make data teams nervous about using them in production. Zipher’s intelligent spot instance management monitors real-time market conditions across availability zones to reduce spot termination rates, and reacts in runtime to reduce the negative impact of a spot loss event.
Complete Visibility

Zipher collects and integrates cloud provider data to provide clear, unified dashboards in the Zipher portal. This lets you instantly see all data across your cloud platform without manually pulling reports.

Enterprise Data Teams Scaling
with Zipher

No disruption, no code changes, just immediate efficiency. Zipher has become an important part of our data stack.

Y. Vidergor, VP Data
Zipher was installed quickly, without any effort from our end.

Verified Reviewer at Global Accounting Firm
Extremely easy to use - it’s really a hands-free solution and setup, as Zipher claims.

S. Hacohen, Data Engineering Team Lead
Great visibility with clean dashboards. Configurable. Simple integration. Team is responsive and accessible.

Verified User at Global Advertising Enterprise
Zipher exceeded our expectations.

M. Derri, Data Platform Lead