Products/AI Workflow Automation/DataGrout

DataGrout

Enterprise AI Platform for Agentic AI & MCP Integration

AI Workflow AutomationFounded 2026MCP serversA2A and ACP agent connectivityEnterprise-grade connectivityDeeper application contextRobust securityScalable performanceConduit SDKOAuth 2.1SSOPer-agent tokensmTLSPolicy + scope controlPlug-and-play integration
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Our Take

DataGrout is building the thing that should have existed already — a unified layer that lets AI agents actually talk to enterprise systems like SAP, Oracle, Workday, Salesforce without every team rebuilding the same integrations from scratch. The auth stack is solid (OAuth 2.1, mTLS, per-agent tokens) and they're offering MCP servers plus A2A/ACP connectivity, which means you get one endpoint instead of fighting with credentials across a dozen apps. The problem is real, the build looks right, but let's be honest — 75 upvotes and Day Rank #32 on Product Hunt tells me this is still early signal stuff, not a proven solution yet. Worth watching, but I'd want to see real enterprise deployments before calling this the move.

DataGrout is an AI agent connectivity platform that enables AI agents to connect and interact meaningfully with enterprise applications like SAP S/4HANA, Oracle Fusion Cloud, Workday ERP, NetSuite, Microsoft Dynamics 365 ERP, Salesforce CRM, HubSpot, and more. DataGrout offers a variety of MCP servers, as well as agent connectivity via A2A and ACP. Enhance your agent's capabilities with enterprise-grade connectivity, deeper application context, robust security, and scalable performance.

Problem It Solves
While AI agents are powerful, connecting them to real-world enterprise apps is still messy, slow, and fragmented. Teams were stuck rebuilding integrations, handling APIs, and managing data flows every time they deployed an agent. It wasn't scalable.
Target Customer
Enterprise teams using LangChain or CrewAI, companies using SAP S/4HANA, Oracle Fusion Cloud, Workday ERP, NetSuite, Microsoft Dynamics 365 ERP, Salesforce CRM, HubSpot
Use Cases
Agentic workflows, Enterprise application integration, Reducing integration time from weeks to minutes, Building agentic workflows without complexity
Differentiator
Unified access layer for AI agents - a single endpoint to connect with multiple applications. Acts as a secure access layer with built-in auth stack, no credential exposure, and runtime enforcement.
Why Now
The gap exists because AI agents are powerful but connecting them to enterprise apps is still messy, slow, and fragmented. Teams need a single, governed gateway where security, auth, and access control are already handled.
Traction
Notable Metrics: 60 followers, 75 upvotes on Product Hunt, Day Rank #32

Key Facts

Category
AI Workflow Automation
Founded
2026
Discovered via
product-hunt

The people behind DataGrout

M

Murali Gour

profile

Links

WebsiteSource: product-hunt

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