Production AI behavior is a black box, which leaves AI teams struggling to improve, fix, and scale their products. Distributional’s adaptive analytics platform empowers these teams to have confidence in AI behavior—the interplay and correlations between users, context, tools, models, and metrics. The product (DBNL) provides a detailed snapshot of aggregate AI product behavior, regularly surfaces behavioral signals, links evidence to facilitate deep root cause analysis, and enables teams to track relevant signals over time. This empowers AI teams to better understand the behavior of their users and AI products so that they can fix and improve those products with confidence.
Distributional’s adaptive analytics product includes an analytics workflow that is supported by a data pipeline and powered by an enterprise platform. The focus of this paper is the enterprise platform that enables you to deploy, manage, scale, and integrate our product seamlessly with your stack.
