Railway raises $100M Series B to challenge AWS with AI-native cloud

Railway, a San Francisco based cloud platform, announced on a Thursday that it closed a $100 million Series B round led by TQ Ventures, with participation from FPV Ventures, Redpoint, and Unusual Ventures. It is a sharp jump for a company that had raised only $24 million total before this round, including a $20 million Series A from Redpoint in 2022. Founder and CEO Jake Cooper, 28, told VentureBeat in an exclusive interview that the fundraise was strategic rather than a survival move: "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 says it has reached two million developers without spending a dollar on marketing, processes more than 10 million deployments a month, and handles over one trillion requests through its edge network. Its pitch centers on speed: a standard build-and-deploy cycle using Terraform takes two to three minutes, a delay Cooper argues has become untenable now that AI coding assistants such as Claude, ChatGPT, and Cursor can generate working code in seconds. Railway says its own deployments complete in under one second. Customers report roughly a tenfold increase in developer velocity and cost savings of up to 65 percent versus traditional cloud providers. Daniel Lobaton, chief technology officer at G2X, a platform serving 100,000 federal contractors, said his team saw deployment speeds improve sevenfold and costs drop 87 percent after migrating, with the infrastructure bill falling from $15,000 a month to about $1,000.

Railway's vertical integration is central to its pitch. In 2024 it abandoned Google Cloud entirely and built its own data centers, an approach Cooper credits with letting Railway stay online during recent outages that hit major cloud providers. That control also underpins its pricing: $0.00000386 per gigabyte-second of memory, $0.00000772 per vCPU-second, and $0.00000006 per gigabyte-second of storage, with no charge for idle virtual machines. Cooper says this undercuts the hyperscalers by roughly 50 percent and newer cloud startups by three to four times.

The company runs on just 30 employees while generating tens of millions of dollars in annual revenue, growing 3.5 times last year and continuing to expand at 15 percent month over month. It hired its first salesperson only last year and employs two solutions engineers. Cooper says 31 percent of Fortune 500 companies now use Railway in some form, from company-wide infrastructure to individual team projects; named customers include Bilt, Intuit's GoCo subsidiary, TripAdvisor's Cruise Critic, and MGM Resorts. Kernel, a Y Combinator-backed AI infrastructure startup serving more than 1,000 companies, runs its entire customer-facing system on Railway for $444 a month; its CTO Rafael Garcia said that at his prior company, Clever (sold for $500 million), he needed six full-time engineers just to manage AWS, versus six engineers total at Kernel today, all focused on product.

For enterprise buyers, Railway offers SOC 2 Type 2 compliance, HIPAA readiness with business associate agreements on request, single sign-on, audit logs, and a bring-your-own-cloud deployment option. Add-ons include extended log retention at $200 a month, HIPAA BAAs at $1,000, enterprise support with SLOs at $2,000, and dedicated virtual machines at $10,000. The platform supports PostgreSQL, MySQL, MongoDB, and Redis, offers up to 256 terabytes of persistent storage with over 100,000 IOPS, and deploys across four regions in the United States, Europe, and Southeast Asia; enterprise customers can scale a service to 112 vCPUs and 2 terabytes of RAM.

Railway released a Model Context Protocol server in August 2025 that lets AI coding agents deploy applications and manage infrastructure directly from code editors. Cooper frames the whole strategy around a coming surge in AI-written code needing somewhere to run. The new capital will go toward expanding the company's data center footprint, growing the team past 30 people, and building a formal go-to-market operation for the first time in its five-year history. Its angel investor list includes GitHub co-founder Tom Preston-Werner, Vercel CEO Guillermo Rauch, Cockroach Labs CEO Spencer Kimball, Datadog CEO Olivier Pomel, and Linear co-founder Jori Lallo.

Key facts

Railway raised a $100 million Series B led by TQ Ventures, with FPV Ventures, Redpoint, and Unusual Ventures participating, after raising just $24 million total before this round.
The company says deployments complete in under one second, versus the two to three minutes typical of Terraform based pipelines, and that customers see roughly 10x developer velocity gains and up to 65 percent cost savings.
G2X's CTO reported a sevenfold deployment speed improvement and an 87 percent cost cut, with the monthly infrastructure bill dropping from $15,000 to about $1,000 after migrating to Railway.
Railway has 30 employees, generates tens of millions in annual revenue, grew revenue 3.5x last year, and says 31 percent of Fortune 500 companies use its platform in some form.
In 2024 the company abandoned Google Cloud and built its own data centers, underpinning per-second pricing that Cooper says undercuts hyperscalers by about 50 percent and newer cloud rivals by three to four times.

Why it matters

Railway's argument is that AI coding assistants can now write working code in seconds, which turns a two to three minute Terraform deploy cycle into the actual bottleneck for software teams. The $100 million round, its largest by far, is a bet from well known developer-infrastructure investors that sub-second deployment and vertically integrated hardware, rather than another layer on top of the existing hyperscalers, is what AI-era software delivery needs.

Who it affects

Developers already using AI coding tools like Claude, ChatGPT, and Cursor are the direct audience, since Railway's pitch is keeping deploy speed in step with how fast those tools generate code. It also affects engineering teams weighing costs against AWS, Google Cloud, and Azure, enterprises evaluating smaller developer platforms such as Render, Fly.io, Vercel, and Heroku, and named customers like G2X, Kernel, Bilt, Intuit's GoCo, TripAdvisor's Cruise Critic, and MGM Resorts who already run production workloads on the platform.

How to use it

Railway bills by the second for actual usage rather than provisioned capacity: $0.00000386 per gigabyte-second of memory, $0.00000772 per vCPU-second, and $0.00000006 per gigabyte-second of storage, with no charge for idle virtual machines. It supports PostgreSQL, MySQL, MongoDB, and Redis, up to 256 terabytes of persistent storage, and deployment across four regions in the US, Europe, and Southeast Asia. Enterprise buyers get SOC 2 Type 2 compliance, HIPAA readiness, SSO, audit logs, and a bring-your-own-cloud option, plus add-ons such as extended log retention ($200/month), HIPAA BAAs ($1,000), SLO-backed support ($2,000), and dedicated VMs ($10,000). An MCP server released in August 2025 lets AI coding agents deploy and manage infrastructure directly from an editor.

How solid is it

The figures come from an exclusive VentureBeat interview with founder Jake Cooper plus on-record customer accounts from G2X's Daniel Lobaton and Kernel's Rafael Garcia, giving the claims named sources rather than anonymous benchmarks. The funding round itself, the investor list, and the founding history are straightforward to verify; the performance multiples (10x velocity, 65 percent savings, sevenfold speedups) are customer-reported rather than independently audited.

Risks and caveats

Most of the comparative numbers, cost savings, speed multiples, and the claim that 31 percent of Fortune 500 companies use the platform, come from Railway or its customers rather than a neutral benchmark, and the Fortune 500 figure spans everything from company-wide adoption to a single team's side project. Running on just 30 employees is presented as evidence of efficiency, but it also concentrates operational risk as the company takes on more enterprise customers and, for the first time, builds out sales and go-to-market functions.

“When godly intelligence is on tap and can solve any problem in three seconds, those amalgamations of systems become bottlenecks. What was really cool for humans to deploy in 10 seconds or less is now table stakes for agents.”

— Jake Cooper, founder and CEO of Railway, to VentureBeat