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.
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.
Enables secure enterprise AI agents to access internal tools like GitHub, Gmail, Calendar, file systems, databases, and knowledge bases through the Model Context Protocol, with built-in security, audit, and observability.
A governed context layer for internal data exposed over MCP, enabling agents to query governed definitions, retrieve grounded data, and execute scoped actions with citations and auditing.
Enables AI-powered customer support with real-time access to CRM, ticketing, and communication tools via MCP, supporting context-aware conversations and automated actions.
