COBI, Inc. develops probabilistic computing infrastructure and hardware for agentic AI, featuring their open-source PITA library designed to enhance Large Language Model performance through probabilistic inference-time scaling.
COBI, Inc. is a technology company focused on developing probabilistic computing solutions, including probabilistic ASICs designed for agentic AI applications. The company builds tools that bridge deterministic and probabilistic computing, helping systems navigate inherently chaotic environments. A core part of their technical offering is the PITA library, an open-source Python tool that provides a unified interface for probabilistic inference-time scaling methods with Large Language Models. By utilizing sampling strategies and inference backends, the library aims to improve AI model output quality through increased test-time computation.
These capabilities are significant for developers and organizations working with next-generation agentic AI systems that require reliable performance under uncertainty. By enabling more robust probabilistic reasoning during the inference phase, COBI provides infrastructure that helps manage and improve the accuracy of complex AI tasks. The company maintains an active presence in the open-source software community through their GitHub repositories, supporting research and engineering teams in integrating advanced inference-time algorithms into their workflows.