TypeSafe AI, the brains behind the transformer-based model Jev, has hit the market running, raising $870 million and securing a valuation of $7.5 billion just weeks after its September 15 release. The round, led by Andreessen Horowitz, brought in significant players like Sequoia and DCVC, adding weight to TypeSafe’s ambitions.
What’s got Fortune 500 companies and users so excited is Jev’s unique approach. Unlike text-generating large language models (LLMs), Jev outputs probabilities, making it ideal for automating tasks. Co-founder Diogo Almeida, previously at OpenAI, asserts that while we’ve been great at human language for four years, it’s not practical for automation. Computers, after all, speak a different language.
With a third of Fortune 500 companies already on board, Jev’s adoption rate is nothing short of remarkable. The startup’s claim that Jev works significantly faster and uses fewer tokens than LLMs is what’s drawing the attention of large corporations. Its approach is positioned as uniquely suited for task automation, setting a new benchmark in the AI landscape.
Founded in 2024 by Diogo Almeida, former Meta research engineer Sasha Sheng, and Erik Gafni, the engineering mind behind Jev, TypeSafe’s rapid ascent is a testament to innovation and market demand. As Jev continues to gain traction, the question remains: could this be the beginning of a new wave in AI, one focused on efficiency and automation?
