Intelligent Execution Layer for Agentic Workloads

Our Mission

When AI creates workloads at scale, static data infra can't keep up. Zipher's intelligent execution layer takes workloads from static to dynamic, unlocking growth for enterprise data teams.

50,000

Workloads Autonomously Managed Daily

+30%

Average SLA Performance Increase

1M

Workload Failures Prevented

About Zipher

Zipher empowers data leaders at enterprises like OpenWeb, Sciplay, Arena Group, and Yotpo by automatically allocating the right infrastructure for dynamic workloads. In the agentic era, the volume and variability of data workloads is increasing by an order of magnitude. AI systems require fresher data, workload creation cycles have compressed dramatically, and far more teams are generating pipelines than ever before.

Static infrastructure cannot keep up with that pace or complexity. Zipher brings a new operating model – one where infrastructure adapts in real time to the needs of each workload, based on available capacity.

The result is more reliable pipelines, faster execution, and consistently efficient use of resources, without manual intervention.
With Zipher, data teams can scale their infrastructure at the speed of AI.

"It was like flipping a switch: no disruption, no code changes, just immediate efficiency. Zipher has become an important part of our data stack."

Y. Vidergor, VP Data, SciPlay

Leadership

Dan Coster

CEO and Co-Founder

Dan brings over a decade of experience in data science, cybersecurity, and machine learning to Zipher. Previously, he developed advanced cyber-attack detection algorithms and led a big data analytics unit within Israel’s elite Unit 8200.
His academic research focuses on building AI-driven methods to optimize data infrastructure. Dan holds an M.Sc. in Computer Science and Bioinformatics and is completing a Ph.D. in Computer Science at Tel Aviv University.

Yoav Gill Ben Ephraim

CTO and Co-Founder

Yoav leads the technical vision and product development of Zipher’s dynamic workload solutions. Prior to co-founding Zipher, Yoav held several key engineering roles in leading technology companies, including Spott, Microsoft, and Forter where he specialized in high-scale data processing and infrastructure automation. He is passionate about making complex data systems more efficient and accessible. Yoav holds a B.Sc in Computer Science and Statistics from Tel Aviv University and served as an intelligence project manager in Unit 8200.