S Capital

S Capital is a venture capital fund established in 2018, focusing on supporting Israeli entrepreneurs by providing them with essential tools and resources that were previously lacking in the market. Drawing on the extensive experience and methodologies from a leading global firm, S Capital combines the advantages of an established firm with the agility of a boutique fund. The fund primarily targets sectors such as technology, media, and telecommunications, aiming to foster innovation and growth within these industries. By leveraging its unique position, S Capital seeks to empower startups and drive their success in a competitive landscape.

Haim Sadger

Founder and Managing Partner

Past deals in Virtualization

Zesty.co

Series B in 2022
Zesty Ltd. is a company that specializes in cloud cost management solutions, offering a platform designed to optimize cloud infrastructure for businesses. Founded in 2018 and based in Ramat Gan, Israel, Zesty’s AI-driven technology automates cloud cost optimization by dynamically adjusting resources in real-time according to application needs. Its key features include Commitment Manager, which manages reserved instances and savings plans; EBS Auto-scaler, which right-sizes EBS volumes automatically; Resource Cleaner, which decommissions unused resources; and Spot Instances. The platform provides users with full visibility and control over resource costs, enabling them to monitor utilization and predict expenses based on usage patterns. By automating these processes, Zesty helps engineering teams maximize cloud savings and minimize waste, significantly reducing overall cloud spending.

Run:AI

Series C in 2022
Run:AI is a technology company based in Tel-Aviv, Israel, founded in 2018. The company specializes in developing application software that creates an abstraction layer for analyzing computational workloads and optimizing their execution through graph-based parallel computing algorithms. Run:AI's platform streamlines AI infrastructure management by enabling efficient resource allocation, particularly for GPUs and other hardware used in AI projects. Its tools facilitate workload scheduling and resource pooling, allowing organizations to enhance their AI capabilities and accelerate development cycles. By leveraging deep learning and parallel computing technologies, Run:AI provides a high-performance compute virtualization layer that optimizes and manages training workloads, ultimately helping clients reduce inefficiencies and conduct experiments more cost-effectively.

Zesty.co

Series A in 2021
Zesty Ltd. is a company that specializes in cloud cost management solutions, offering a platform designed to optimize cloud infrastructure for businesses. Founded in 2018 and based in Ramat Gan, Israel, Zesty’s AI-driven technology automates cloud cost optimization by dynamically adjusting resources in real-time according to application needs. Its key features include Commitment Manager, which manages reserved instances and savings plans; EBS Auto-scaler, which right-sizes EBS volumes automatically; Resource Cleaner, which decommissions unused resources; and Spot Instances. The platform provides users with full visibility and control over resource costs, enabling them to monitor utilization and predict expenses based on usage patterns. By automating these processes, Zesty helps engineering teams maximize cloud savings and minimize waste, significantly reducing overall cloud spending.

Run:AI

Series B in 2021
Run:AI is a technology company based in Tel-Aviv, Israel, founded in 2018. The company specializes in developing application software that creates an abstraction layer for analyzing computational workloads and optimizing their execution through graph-based parallel computing algorithms. Run:AI's platform streamlines AI infrastructure management by enabling efficient resource allocation, particularly for GPUs and other hardware used in AI projects. Its tools facilitate workload scheduling and resource pooling, allowing organizations to enhance their AI capabilities and accelerate development cycles. By leveraging deep learning and parallel computing technologies, Run:AI provides a high-performance compute virtualization layer that optimizes and manages training workloads, ultimately helping clients reduce inefficiencies and conduct experiments more cost-effectively.

Zesty.co

Seed Round in 2020
Zesty Ltd. is a company that specializes in cloud cost management solutions, offering a platform designed to optimize cloud infrastructure for businesses. Founded in 2018 and based in Ramat Gan, Israel, Zesty’s AI-driven technology automates cloud cost optimization by dynamically adjusting resources in real-time according to application needs. Its key features include Commitment Manager, which manages reserved instances and savings plans; EBS Auto-scaler, which right-sizes EBS volumes automatically; Resource Cleaner, which decommissions unused resources; and Spot Instances. The platform provides users with full visibility and control over resource costs, enabling them to monitor utilization and predict expenses based on usage patterns. By automating these processes, Zesty helps engineering teams maximize cloud savings and minimize waste, significantly reducing overall cloud spending.

Run:AI

Series A in 2019
Run:AI is a technology company based in Tel-Aviv, Israel, founded in 2018. The company specializes in developing application software that creates an abstraction layer for analyzing computational workloads and optimizing their execution through graph-based parallel computing algorithms. Run:AI's platform streamlines AI infrastructure management by enabling efficient resource allocation, particularly for GPUs and other hardware used in AI projects. Its tools facilitate workload scheduling and resource pooling, allowing organizations to enhance their AI capabilities and accelerate development cycles. By leveraging deep learning and parallel computing technologies, Run:AI provides a high-performance compute virtualization layer that optimizes and manages training workloads, ultimately helping clients reduce inefficiencies and conduct experiments more cost-effectively.
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