Silk has raised $45 million in growth capital to expand its data platform built for AI workloads. The funding was led by Avenue Capital Group, with participation from Sequoia Capital, S Capital VC, Vintage Investment Partners, Ibex Investors, West Coast Equity Partners, and other investors.
Silk will use the new funding to invest more in engineering and expand its sales and market coverage. The company plans to work more closely with neocloud, sovereign cloud, and inference cloud providers while growing its presence across Amazon Web Services, Microsoft Azure, and Google Cloud.
“The shift from training-centric infrastructure toward autonomous agent-based production is happening now,” said Dani Golan, Founder and Chief Executive Officer of Silk. “Organizations are spending enormous sums on compute only to wait on the data layer beneath it. This capital lets us build ahead of agentic demand and bring AI to the data.”
Agent-driven workloads are now the dominant source of AI infrastructure demand, and the shift is measurable. More than half of all traffic across Cloudflare’s global network is generated by machines rather than humans, and daily AI agent requests grew more than 1,700% year over year. Agents operate at machine pace producing bursty access patterns that general-purpose cloud data infrastructure was never designed to absorb. The result is unpredictable latency, contention between agents and production users, and cost curves that break at this scale. The requirement of agents operating against live data is driving clouds beyond selling GPU capacity into higher-value enterprise AI service.
“We underwrote Silk’s recurring enterprise revenue base and its position in a market that is inflecting right now,” said Tony Pandjiris, Senior Portfolio Manager of Avenue Capital Group’s Growth Lending Strategy. “Agentic AI is moving from pilot to production across the enterprise, and the data layer is the bottleneck that has yet to be solved. Silk’s traction with global enterprise customers and cloud providers, and the measurable economics the platform delivers, are what gave us conviction.”
“The neocloud, sovereign and inference clouds are the new center of gravity for AI infrastructure, and the need to absorb agent-driven, real-time data requests is here now,” added Golan. “Avenue understands infrastructure businesses at this stage, and they move at the speed and clarity this market demands. This gives us the balance sheet to extend our first-mover advantage while the category is forming.”
Silk is a data platform built specifically for AI agents and modern AI workloads. Traditional cloud systems were not designed to handle the speed, large amounts of data, and flexibility that today’s AI applications require. Silk is designed to handle these needs without the usual complexity and resource limits.
Silk says its platform can help customers run AI workloads with up to 10x better performance and up to 69% lower cloud costs. Customers can use the platform without having to redesign or rebuild their existing applications.
