AI companies are increasingly betting on models that operate differently from large language models, including tabular foundation models for structured data prediction, decision-focused models that output choices and probabilities, and code execution models that optimise running programs autonomously. Gartner flagged large quantitative models as a key 2027 keyword. SAP and Nvidia have moved into TFM. Decision model competition has expanded to major firms. Nvidia-backed DoubleAI is also drawing attention with CEM technology.

A survey found that Typesafe AI’s decision-making model Jev became the fastest-spreading AI model in Vercel data at launch. TechCrunch, citing Vercel figures, reported that Jev was used by 35 percent of teams paying for Vercel within two weeks, nearly twice the level of the No. 2 model, Sonnet 5.5. The data was collected via Vercel AI Gateway and may undercount models from firms running their own APIs.