A cloud platform that never spent a dollar on marketing has quietly amassed two million developers. Now it has $100 million to take on Amazon Web Services and Google Cloud.

Railway, a San Francisco startup, announced the Series B funding Thursday. TQ Ventures led the round with participation from FPV Ventures, Redpoint and Unusual Ventures. The company previously raised only $24 million total.

The investment signals a shift in cloud computing. Developers increasingly find traditional infrastructure too slow and expensive for AI-powered applications. AI coding assistants like ChatGPT and Cursor can generate code in seconds. But deploying that code on legacy systems takes minutes.

Railway's 28-year-old founder and CEO Jake Cooper said the gap is becoming unacceptable. "As AI models get better at writing code, more and more people are asking the age-old question: where, and how, do I run my applications?" Cooper said in an exclusive interview with VentureBeat.

The company now processes more than 10 million deployments monthly. Its edge network handles over one trillion requests. Those metrics rival far larger competitors.

The Problem With Legacy Cloud

A standard build and deploy cycle using Terraform takes two to three minutes. That delay was tolerable before AI. Now it is a critical bottleneck.

Railway claims its platform delivers deployments in under one second. The company says customers report a tenfold increase in developer velocity and up to 65 percent cost savings compared to traditional cloud providers.

G2X, a platform serving 100,000 federal contractors, saw dramatic improvements. Chief technology officer Daniel Lobaton measured deployment speeds seven times faster and an 87 percent cost reduction. His infrastructure bill dropped from $15,000 per month to roughly $1,000.

"The work that used to take me a week on our previous infrastructure, I can do in Railway in like a day," Lobaton said.

Vertical Integration and Own Data Centers

Railway took an unusual step in 2024. It abandoned Google Cloud and built its own data centers. The move gives the company full control over network, compute and storage layers.

"We wanted to design hardware in a way where we could build a differentiated experience," Cooper said. Full control enables fast build and deploy loops at what he called "agentic speed."

The approach paid off during recent widespread cloud outages. Railway remained online while major providers went down.

Vertical integration also allows aggressive pricing. 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. There are no charges for idle virtual machines.

Cooper said the conventional wisdom that big cloud providers have unbeatable economies of scale is wrong. "When they're charging for VMs that usually sit idle in the cloud, and we've purpose-built everything to fit much more density on these machines, you have a big opportunity."

The company employs only 30 people but generates tens of millions in annual revenue. Cooper said the funding will go toward expanding infrastructure, hiring and building new data centers.

Why This Matters

Developers and businesses building AI applications face a growing challenge. The cloud infrastructure they rely on was designed for a slower era. AI coding tools can produce working code in seconds. But deploying that code on platforms like AWS can take minutes, creating a bottleneck that slows down entire development cycles.

Railway's approach offers an alternative. Faster deployments mean faster iteration. Lower costs make AI experimentation more accessible. And by building its own hardware, the company avoids the outages that plague larger providers.

For enterprises already spending tens of thousands monthly on cloud services, the potential savings are significant. A company paying $15,000 per month on AWS might cut that to $1,000 on Railway. The shift could pressure Amazon, Google and Microsoft to rethink their pricing and architecture.

The cloud computing market is not easily disrupted. But Railway's rapid growth without marketing spending suggests real demand. Two million developers have already chosen the platform. With $100 million in new capital, the company intends to prove that AI-native infrastructure is not just a niche product but the future of cloud computing.