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Silk provides an adaptive, software-defined cloud data platform designed to accelerate mission-critical applications within public cloud environments. Its core product functions as a cloud acceleration layer, delivering high-performance storage that dramatically improves throughput and latency for demanding workloads like artificial intelligence, analytics, and large databases. This technology enables real-time access to production data in the cloud, often achieving performance gains significantly exceeding native cloud capabilities.
The company was co-founded by Dani Golan and Ofir Dubovi, evolving from the data storage firm Kaminario, which Golan founded in 2008. The insight driving the company's formation was the critical need for enterprises to migrate and run their most intensive applications in the public cloud without sacrificing the performance typically associated with on-premises infrastructure. This led to the development of a solution that allows organizations to leverage cloud scalability while maintaining enterprise-grade performance.
Silk's platform serves enterprises that rely on applications demanding consistent, high-speed data access within their cloud deployments. It supports organizations seeking to maximize the efficiency and responsiveness of their AI initiatives, data warehousing, and operational databases in the cloud. The company's vision is to empower businesses to fully harness the agility and elasticity of the public cloud, ensuring that even the most complex and data-intensive workloads operate seamlessly and efficiently.
Silk has raised $82.0M across 3 funding rounds.
Silk has raised $82.0M in total across 3 funding rounds.
Silk has raised $82.0M in total across 3 funding rounds.
Silk's investors include S Capital VC, Aya, CapitalG, Cyberstarts VC, Pitango Venture Capital, Sequoia Capital, SNR, Tenaya Capital, Vertex Ventures Israel, Y Combinator, Guy Harmelin, Benchmark.
Silk is a technology company that builds a virtual Storage Area Network (SAN) platform designed to boost performance and efficiency for AI/analytics workloads and database operations in the cloud.[1][3][4] It acts as a high-performance storage layer between cloud infrastructure (such as Azure and Google Cloud) and applications, delivering up to 10x faster performance, up to 50% cost savings on database licensing and cloud resources, and seamless integration without requiring app refactoring.[1][3] Silk serves enterprise customers in sectors like finance, healthcare, and SaaS, supporting mission-critical databases (e.g., Oracle, MS SQL) and AI/ML platforms with features like zero-trust architecture, inline deduplication, compression, encryption, and over 20 patents.[1] Its growth momentum stems from global operations, production-ready reliability, and proven acceleration of AI training, inference, real-time analytics, and cloud-based AI infrastructure.[1]
Silk emerged as a specialized cloud storage innovator, with its platform positioned as a "database supercharger" that enhances performance without altering underlying applications or infrastructure.[1][4] Key team members include Liran Gabay, who oversees customer experience and global support, bringing 20 years of experience from NetApp (leading support across Europe and the Middle East) and the Israeli military's elite Mamram unit.[1] Jim McInerny, Executive Vice President of Worldwide Sales, drives growth with decades in enterprise tech at EMC, BitSight, Turbonomic, and Blink, backed by an MBA from Boston College.[1] While exact founding details are not specified, Silk's evolution focuses on cloud-native solutions for demanding workloads, earning trust through enterprise adoption and patented technology.[1]
(Note: A separate entity, Silk Technologies ILC Ltd., is described as an ICT services provider offering tailored solutions, but primary sources confirm the queried Silk as the cloud storage platform.[2][4])
Silk rides the explosive growth of cloud-native AI and analytics, where enterprises demand high-speed data access amid surging AI training/inference needs and real-time processing.[1][3] Its timing aligns with cloud providers' expansion (e.g., Azure, Google Cloud) and the shift to cost-optimized, scalable workloads, countering challenges like high storage costs and performance bottlenecks in legacy databases.[1] Market forces favoring Silk include rising AI adoption in finance, healthcare, and SaaS, plus the need for secure, non-disruptive upgrades in hybrid/multi-cloud setups.[1] By influencing the ecosystem, Silk empowers broader AI infrastructure, accelerates analytics pipelines, and sets a standard for virtualized storage that maximizes data value without overhauls.[1][4]
Silk is poised to expand as AI workloads proliferate, potentially deepening integrations with emerging cloud AI services and edge computing for even faster, distributed performance. Trends like generative AI scaling and stricter data sovereignty will amplify demand for its secure, efficient platform, evolving its role from database enhancer to core AI enabler. With seasoned leadership driving global sales, expect accelerated enterprise wins and innovation around patents, solidifying Silk's edge in cloud data optimization—just as it started by supercharging what enterprises already run.[1]
Silk has raised $82.0M across 3 funding rounds. Most recently, it raised $55.0M Series A in July 2021.
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| Jul 1, 2021 | $55.0M Series A | S Capital VC | |
| Jul 1, 2020 | $25.0M Seed | Aya, CapitalG, Cyberstarts VC, Pitango Venture Capital, S Capital VC, Sequoia Capital, SNR, Tenaya Capital, Vertex Ventures Israel, Y Combinator, Guy Harmelin | |
| Jul 1, 2012 | $2.0M Seed | Benchmark, Flex Capital, Harrison Metal, Rick Yang, Relay Ventures, Ulu Ventures, Xfund, Othman Laraki, Patrick S. Chung |