DataGrout helps enterprises control AI usage, governance and LLM costs
SelectHub launched DataGrout, an LLM cost and governance platform combining dynamic context pruning, symbolic inference and MCP gating, claiming about 60% token reduction.
SelectHub launched DataGrout, an LLM inference optimization and AI governance platform combining dynamic context pruning, a symbolic inference layer, and an MCP gateway with per-call token and cost monitoring. Early tests claim roughly 60% token reduction on data-intensive ERP and CRM integration tasks without accuracy loss. The platform connects via its Conduit SDK, MCP or JSON-RPC, offers its own MCP servers for SaaS apps such as Salesforce, SAP and ServiceNow, and supports bring-your-own-key LLM access or gateways like Amazon Bedrock and Kong.
- Targets token waste and hidden API costs in agentic workflows, chatbots and coding tools like Claude Code and Cursor
- Claims ~60% token reduction on ERP/CRM tasks via context pruning and symbolic inference
- Acts as MCP gateway and control plane, with MCP servers for Salesforce, SAP, ServiceNow and Snowflake
- Supports bring-your-own-key LLM connections or gateways such as Amazon Bedrock and Kong
- Vendors
- SelectHub
- Products
- DataGroutAmazon BedrockKong
From the original article
2 min read at helpnetsecurity.comSelectHub 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 to track company-wide AI utilization.
By @helpnetsecurity · helpnetsecurity.com
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