Ex-OpenAI Researcher's TypeSafe AI Launches Non-Chat Model 'Jev' With $40M Backing
TypeSafe AI, founded by former OpenAI RLHF researcher Diogo Almeida, has emerged from two years of stealth development with $40 million in funding and its first product, a model called Jev. Rather than generating conversational text like ChatGPT, Jev is built to deliver fast, cheap yes/no or categorical decisions—in about a tenth of a second and for a fraction of a cent—aimed at software-to-software interactions rather than human chat.
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As AI agents increasingly communicate with other software rather than people, the industry's default chatbot format—verbose, token-costly text generation—becomes an inefficient bottleneck for automated decision-making. Jev's bet is that decision-focused, non-conversational models could better serve this emerging machine-to-machine layer, potentially undercutting LLM-based agents on speed and cost for tasks like fraud checks or classification.
- TypeSafe AI, led by ex-OpenAI RLHF researcher Diogo Almeida, raised $40M after two years in stealth.
- Its debut model Jev skips chat entirely, returning fast, low-cost structured decisions instead of written text.
- The approach targets software-to-software AI use cases where verbose LLM outputs are slow and expensive to parse.
Source: techspot.com — Julio Franco, 2026-09-20
Published there as: “Meet Jev: A New Kind of AI Model From One of ChatGPT's Co-Creators”
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