Data Solutions · The Acting Edge
Prepare your data so AI agents can actually reason over it.
A RAG retrieval stack, a knowledge graph for entity-rich context, and governed MCP data servers, so the agents you build read from your trusted warehouse with grounding and provenance, not a generic model guessing.
The package
AI-Ready Data
AI agents are only as good as the data they can retrieve. This package builds the retrieval layer between your governed warehouse and the acting edge: prepared corpora and embeddings, an entity-rich knowledge graph, and MCP servers that expose governed data and tools to agents. Buy a single project or the full program.
- A RAG retrieval stack: prepared corpus, embedding pipeline, and vector store
- A knowledge graph for entity-rich retrieval over connected data
- Governed MCP data servers exposing warehouse data and tools to AI agents
- Grounded, cited, provenance-aware data access the acting edge can trust
What's inside
Projects in this package
RAG Retrieval
Prepare the corpus, embeddings, and vector store for retrieval-augmented generation, so agents answer from your proprietary knowledge, grounded and cited.
Explore
Knowledge Graph
Build a knowledge graph that captures the entities and relationships in your data, so retrieval is entity-rich and reasoning follows real connections.
Explore
MCP Data Servers
Stand up MCP servers that expose governed warehouse data and tools to AI agents, the data-access layer for the acting edge, with authentication and access control.
ExploreOne system, three layers
From AI-ready data to AI that acts
AI-Ready Data prepares the source. AI Workflow Automation builds the agents and workflows that use it at the point of decision.