Railway, a San Francisco cloud platform, announced a $100 million Series B led by TQ Ventures, with participation from FPV Ventures, Redpoint, and Unusual Ventures, VentureBeat reports. This article is based on a single source; all figures and claims below derive from VentureBeat’s reporting. The company reached that milestone with 30 employees, two million developers, and no marketing spend. Prior to this round, Railway had raised just $24 million in total, including a $20 million Series A from Redpoint in 2022.
The round comes as Railway has made a structural bet on vertical integration—abandoning Google Cloud in 2024 to build its own data centers—and is now pitching that investment as the right infrastructure for a development world where AI coding assistants can produce working code faster than traditional deployment pipelines can ship it.
The deployment speed problem
Railway’s argument starts with a simple friction point: a standard build-and-deploy cycle using Terraform, the industry-standard infrastructure tool, takes two to three minutes. That delay was tolerable when human engineers wrote code. It becomes a bottleneck when AI assistants can generate working code in seconds.
“When godly intelligence is on tap and can solve any problem in three seconds, those amalgamations of systems become bottlenecks,” Railway founder and CEO Jake Cooper told VentureBeat. “What was really cool for humans to deploy in 10 seconds or less is now table stakes for agents.”
Railway claims its platform delivers deployments in under one second. The company processes more than 10 million deployments monthly and handles over one trillion requests through its edge network.
Customer-reported figures from the report include a 10x increase in developer velocity and up to 65 percent cost savings relative to traditional cloud providers. Daniel Lobaton, CTO at G2X—a platform serving 100,000 federal contractors—measured seven times faster deployment and an 87 percent cost reduction after migrating to Railway, with his infrastructure bill dropping from $15,000 per month to approximately $1,000.
The data center decision
The unusual move in Railway’s history was its 2024 decision to stop using Google Cloud and build its own data centers. Cooper described the reasoning to VentureBeat: “Having full control over the network, compute, and storage layers lets us do really fast build and deploy loops, the kind that allows us to move at ‘agentic speed’ while staying 100 percent the smoothest ride in town.”
The report says the approach paid dividends when widespread outages hit major cloud providers—Railway remained online throughout. Full stack control also enables pricing that the report says undercuts hyperscalers by roughly 50 percent and newer cloud startups by three to four times.
Railway charges by the second for actual compute usage: $0.00000386 per gigabyte-second of memory, $0.00000772 per vCPU-second, and $0.00000006 per gigabyte-second of storage. Customers are not charged for idle virtual machines.
Scale and enterprise reach
Railway grew revenue 3.5 times last year and continues to expand at 15 percent month-over-month, according to the report. The company generates tens of millions in annual revenue with its 30-person team.
The report says 31 percent of Fortune 500 companies use Railway’s platform, though deployments range from company-wide infrastructure to individual team projects. Named customers include Bilt, Intuit’s GoCo subsidiary, TripAdvisor’s Cruise Critic, and MGM Resorts.
Cooper told VentureBeat that the fundraise was strategic rather than survival-driven: “We’re default alive; there’s no reason for us to raise money. We raised because we see a massive opportunity to accelerate, not because we needed to survive.”
The company hired its first salesperson only last year and employs just two solutions engineers. Nearly all of its two million users found it through word of mouth.