Enables AI agents to securely call enterprise MCP tools with tenant-scoped RBAC, human approvals, audit logging, and multi-tool workflows across customer, order, document, and ticket data.
Enables AI agents to perform go-to-market workflows such as company and contact enrichment, CRM querying, and controlled, audited writes to a CRM through MCP tools callable from any MCP client.
An MCP-native agentic platform orchestrating planner/executor/critic agents over hybrid RAG with three-tier memory, budget enforcement, safety guardrails, and full observability. It exposes all capabilities as MCP tools, enabling natural-language control of document ingestion, retrieval-augmented generation, and multi-step AI workflows.
Enables AI agents to securely access and act on CRM, order, support, and automation systems through the Model Context Protocol, with authentication, authorization, audit logging, and guardrails.
Provides a unified context layer for AI agents, enabling ranked search, file management, context bundles, database queries, and connected source access through MCP, all scoped to organizational permissions with citations.
Enables AI agents to query live schema, lineage, and query-context across data warehouses, dbt projects, orchestration systems, and BI tools via MCP tools.