SelectHub has announced the launch of DataGrout, its specialized AI research lab introducing an LLM inference optimization platform and AI governance solution for enterprises. DataGrout's mission is to drive token reduction for agentic workflows, chatbots, and AI tools, while equipping IT and FinOps leadership with a policy-driven, auditable LLM payload and cost monitoring system.
SelectHub launches DataGrout AI research lab for LLM cost optimization.
Provides granular token tracking and LLM payload visibility.
Early tests show 60% token reduction for data-intensive tasks.
Acts as MCP gateway and control plane for agent connections.
Supports integration with Salesforce, SAP, ServiceNow, Snowflake, and more.
Available for beta testing now at datagrout.ai.
As enterprise users increase LLM usage through context-intensive chat sessions and coding tools such as Claude Code, Cursor, and Replit, uncontrolled token waste and hidden API expenses are putting significant strain on corporate budgets. This is especially impactful as organizations also begin expanding agentic workflow deployments across diverse use cases such as customer service and sales outreach. DataGrout addresses this challenge through a unified connection layer that enables agents to securely access all enterprise applications with built-in dynamic context pruning, alongside a symbolic inference layer that reduces calls to the underlying LLM.
DataGrout acts as a MCP gateway and control plane with agents connecting via its Conduit SDK or via MCP or JSON-RPC. The platform allows any third-party MCP server to be accessed through its platform, while also offering its own MCP servers for popular SaaS applications such as Salesforce, HubSpot, Oracle ERP, SAP, ServiceNow, Snowflake, and QuickBooks. DataGrout can be connected to LLMs directly with companies bringing their own key, or via popular AI gateways such as Amazon Bedrock and Kong.
"Companies are flying blind into the AI era," said Venkat Devraj, CEO at SelectHub. "Through DataGrout, IT and Finance teams gain precise token tracking and visibility into LLM consumption patterns and payloads, enabling leadership to clearly measure the value delivered by AI investments while systematically eliminating waste on a per LLM-call basis. Deterministic workloads are kept off the LLM entirely without users and developers having to manually segregate and route workloads. The net positive impact on the P&L is instantaneous."
About SelectHub
SelectHub is a leading technology research and analyst firm that optimizes software selection and IT sourcing for organizations globally.