Baseten, a California-based artificial intelligence startup co-founded by Australian entrepreneurs, has raised $1.5 billion in a new funding round, pushing its valuation to $13 billion. The deal highlights the growing wave of investment flowing into AI infrastructure companies as businesses accelerate the adoption of generative AI technologies.
The funding round was led by major U.S. investment firms Sands Capital and Wellington Management. Australian venture capital giant Blackbird VC also participated, describing the investment as the largest commitment it has ever made, although the firm did not disclose the exact amount invested.
Baseten specializes in AI software and infrastructure that enable businesses to customize and deploy their own artificial intelligence models. The company positions itself as a cost-effective alternative to leading AI providers such as OpenAI and Anthropic, helping organizations build and scale AI-powered applications more efficiently.
The startup reported that its revenue increased 20-fold over the past year, driven largely by rising demand for AI inference services. Inference refers to the stage where trained AI models generate responses and outputs in real-world business applications, making it a critical component of the rapidly expanding AI ecosystem.
This latest transaction marks Baseten’s fourth fundraising round within the last 18 months, underscoring strong investor confidence in companies that provide the infrastructure needed to commercialize generative AI technologies. According to Blackbird partner Michael Tolo, the investment reflects growing conviction in the sector and may represent one of the largest investments ever made by an Australian venture capital firm.
Tolo noted that Baseten’s lower-cost approach gives businesses a competitive advantage when integrating AI into their technology stacks. He described the company’s model as one of the most significant shifts in AI economics and market competition seen to date.
Baseten plans to use the newly raised capital to expand its computing capacity, enhance its software platform, and hire additional talent as it continues to scale operations and meet increasing demand for enterprise AI solutions.


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