Prime Intellect, a startup that provides computing power and specialized software tools to help companies build AI agents, has raised $130 million in Series A funding at a $1 billion valuation. The round was led by Radical Ventures, with participation from Nvidia Ventures, Intel Capital, and other investors. The funding will support the company’s mission to enable organizations to train their own agentic systems without relying on frontier AI labs. The startup’s platform functions like a marketplace, offering modular access to tools so customers can pick and choose specific functions without being locked into an all-or-nothing system. 'They’ve stitched this together and built it in such a way that they’re operating at the frontier in a way that’s affordable,' said David Katz, a partner at Radical Ventures. 'While others offer bits and pieces, Prime Intellect is unique in providing the capabilities of a top-tier AI lab as a one-stop shop for development.'

The startup’s approach has attracted customers like Ramp, Zapier, and Flapping Airplanes, who pay for a hosted version of its tools. This rapid adoption has propelled the company to an annualized revenue run rate of $100 million. The growth is driven by tangible results, such as Ramp using Prime Intellect to build an agent that helped the fintech find answers inside spreadsheets. 'The result beat the frontier models on accuracy while running at faster speeds and a fraction of the cost,' said Ramp’s co-founder and co-CEO Karim Atiyeh. Another key factor driving Prime Intellect’s growth is the recent realization by companies that building on top of frontier labs carries risks. Companies increasingly don’t want to provide their proprietary information to OpenAI and Anthropic due to the risk of losing control over their data. They are also wary of depending on models that can be suddenly turned off, as happened with Anthropic’s Fable last month.

Prime Intellect co-founder and CEO Vincent Weisser believes enterprises are looking to move away from closed-source frontier models, and his company provides the infrastructure to make that transition possible. 'It shouldn’t just be a few nerds in a glass tower in San Francisco that have the capability to train AI models,' he told TechCrunch. 'It should be every enterprise, every nation state.'

Source: techcrunch