SelectHub announces the launch of DataGrout, a new AI research lab and platform aimed at helping enterprises manage how they use large language models (LLMs). The company says DataGrout combines an LLM inference optimization capability with an AI governance solution designed to reduce token usage and improve visibility into AI spending.
According to the announcements, the platform targets token and payload-level tracking for use cases such as agentic workflows, chatbots, and coding tools. SelectHub says DataGrout provides policy-driven controls and an auditable way to monitor LLM activity across an organization, with support for tracking company-wide AI utilization.
The outlets emphasize different aspects of the same launch. Help Net Security highlights the goal of driving token reduction and supporting IT and FinOps leadership with cost monitoring and governance. The Financial Post similarly frames the release as an enterprise cost-optimization offering, emphasizing granular token tracking and payload-level visibility for CIO and CFO audiences.
Both sources describe DataGrout as an enterprise-focused effort to unify operational oversight of AI deployment while controlling LLM costs.
