Railway Secures $100 Million in Series B Funding to Advance AI-Native Cloud Infrastructure

Railway, a San Francisco-based cloud platform, announced on Thursday that it has secured $100 million in a Series B funding round. TQ Ventures led the investment, with FPV Ventures, Redpoint, and Unusual Ventures participating. This funding positions Railway to further develop its AI-native cloud infrastructure, intending to challenge established players such as Amazon Web Services (AWS) and Google Cloud.

Jake Cooper, Railway's founder and chief executive, stated that the increasing demand for artificial intelligence applications has highlighted the shortcomings of legacy cloud infrastructure. He emphasized that current cloud tools are "slow and outdated," making it difficult for development teams to keep pace with the rapid advancements in AI. Before this latest round, Railway had raised a total of $24 million, including a $20 million Series A in 2022.

Railway reports having attracted two million developers without any marketing expenditure. The platform processes over 10 million deployments monthly and handles more than one trillion requests through its edge network. The company claims its platform delivers deployments in under one second, significantly faster than the two-to-three-minute standard for tools like Terraform. Customers have reported up to a tenfold increase in developer velocity and cost savings of up to 65% compared to traditional cloud providers. Daniel Lobaton, Chief Technology Officer at G2X, cited a seven-fold improvement in deployment speed and an 87% cost reduction after migrating to Railway.

In 2024, Railway made the strategic decision to transition entirely from Google Cloud and establish its own data centers. This vertical integration provides the company with full control over its network, compute, and storage layers, which it states enables rapid build-and-deploy cycles. This approach also allowed Railway to remain operational during recent widespread outages affecting major cloud providers. The company's pricing model charges by the second for actual compute usage, avoiding fees for idle virtual machines. Railway claims this results in costs approximately 50% lower than hyperscalers and three to four times lower than newer cloud startups.

Railway operates with a team of 30 employees and reported a 3.5-fold increase in revenue last year, with a 15% month-over-month expansion. Cooper noted that the fundraise was strategic for accelerating growth rather than a necessity. The company hired its first salesperson only last year and employs two solutions engineers.

Despite its developer-centric, grassroots growth, Railway has gained traction within large organizations. The company states that 31% of Fortune 500 companies utilize its platform, though deployments vary in scale. Notable customers include Bilt, Intuit's GoCo subsidiary, TripAdvisor's Cruise Critic, and MGM Resorts. For enterprise customers, Railway offers security certifications such as SOC 2 Type 2 compliance and HIPAA readiness, along with single sign-on authentication and comprehensive audit logs.

The platform supports various databases, including PostgreSQL, MySQL, MongoDB, and Redis. It provides up to 256 terabytes of persistent storage with over 100,000 input/output operations per second and allows deployment to four global regions across the United States, Europe, and Southeast Asia. Enterprise customers can scale services to 112 vCPUs and 2 terabytes of RAM.

Railway plans to use the newly secured capital to expand its global data center footprint, grow its team beyond 30 employees, and establish its first formal go-to-market operation in its five-year history. Angel investors in Railway include Tom Preston-Werner (co-founder of GitHub), Guillermo Rauch (CEO of Vercel), Spencer Kimball (CEO of Cockroach Labs), Olivier Pomel (CEO of Datadog), and Jori Lallo (co-founder of Linear).

According to VentureBeat AI, Cooper envisions Railway becoming the primary platform for software creation and evolution within five years, aiming to offer instant deployment, infinite scalability, and zero friction.