Liquid AI Releases d1-ultra: A Multimodal Decision Model Scoring 65 on the AA Decision Index

Liquid AI has launched d1-ultra, a multimodal model specifically architected for decision-making tasks, scoring 65 on the AA Decision Index benchmark. Unlike general-purpose language models, d1-ultra is designed around structured decision outputs across text, image, and other modalities, positioning it for enterprise automation, robotic process orchestration, and agentic decision pipelines. Liquid AI has been building on non-transformer architectures rooted in liquid neural networks, and d1-ultra represents their most capable and broadly deployable model to date. For developers building agents that need to make reliable, auditable decisions across multiple data types, this is a specialized alternative to prompting general-purpose LLMs. The AA Decision Index score provides a concrete benchmark for comparison, though independent third-party validation will be important to assess real-world applicability.