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ai security
DataGrout helps enterprises control AI usage, governance and LLM costs
SelectHub launched DataGrout, an AI research lab offering a large language model inference optimization platform and governance solution designed for enterprise customers. The platform aims to reduce token consumption in agentic workflows and chatbots while providing IT and financial operations teams with policy-driven monitoring and auditing of large language model usage and associated costs across the organization.
Why it matters: Enterprise IT and FinOps leaders managing growing LLM deployments need visibility and control over AI spend and token usage to govern risk and optimize costs as agentic workflows scale.
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ai security
DataGrout helps enterprises control AI usage, governance and LLM costs
No summary had been written when this copy was frozen.
- First seen by Cybersecurity Tracker
Source attribution
Correction
Correction recorded as of .
ai security
DataGrout helps enterprises control AI usage, governance and LLM costs
SelectHub announced the launch of DataGrout, an artificial intelligence (AI) research lab that introduced a large language model (LLM) inference optimization platform and AI governance solution for enterprises. The platform aims to reduce token usage in agentic workflows, chatbots and coding tools while giving information technology (IT) and Financial Operations (FinOps) teams a policy-driven, auditable system to monitor LLM payloads and costs. It enables organizations to track company-wide AI utilization and enforce usage policies.
Why it matters: Enterprises deploying LLMs, especially IT and FinOps teams, face rising costs and compliance risks and should evaluate DataGrout's monitoring and policy tools to manage token spend and usage.
- Source published
- First seen by Cybersecurity Tracker