The Wall Street Journal reported on Thursday that Jev, an AI model launched three weeks ago in Silicon Valley, is drawing attention over whether it can establish itself as an alternative to large language models (LLMs).

The report said startup TypeSafeAI unveiled Jev on Sept. 15. Jev does not generate text like a chatbot. It uses machine learning to classify inputs into predetermined outputs such as yes or no, a score, or an answer from a list.

TypeSafeAI describes it as Reinforcement Learning for Calibrated Decisions.

TypeSafeAI CEO Diogo Almeida (디오고 알메이다) took part in developing ChatGPT at OpenAI before leaving the company in 2024. TypeSafeAI, which appeared on the tech scene with the launch of Jev, received a $40 million investment from venture capital firm DCVC.

Almeida said Jev is fast, cheap and produces consistent results, and can make up for the limitations of LLMs, which are hard to predict. "About 25 percent of Fortune 500 companies are already using Jev," he said. "A week ago, daily throughput reached 1 trillion tokens, and growth is exponential," he said.

TypeSafeAI stresses that Jev is a model suited to automation software. Almeida said major LLMs handle tasks involving human intervention well but are "unbelievably useless" for automation. "Software develops by building a foundation you can trust and adding features one by one on top of it, but chatbots do not work that way," he said.

Investor interest is also rising. The Information reported last week that TypeSafeAI is in talks to raise more than $1 billion, and some investors cited a valuation of more than $10 billion. Almeida declined to comment on this.

Similar services have also followed. OpenAI unveiled a "Decisions API" at the end of September that uses the "Luna" model to provide only fixed answers to user-defined questions. Data analytics startup Databricks also released an "ai_decide" function.

Almeida said he expected copycat products to emerge but was confident that Jev would be better.