Every enterprise is building AI agents.
But giving each agent reliable access to the right data, with the right context, governed at scale.
That’s where things break down.
Your enterprise data spans warehouses, cloud platforms, SaaS applications, and relational databases. Every agent you build needs a different integration for each source — and each one is a maintenance burden.
Raw data access isn’t enough. Agents need business definitions, join logic, access policies, and domain rules to generate accurate answers. That context is scattered across catalogs, BI tools, and tribal knowledge — and nobody is assembling it for your agents.
An agent that works against one database with a narrow scope can be highly accurate. Scale it to distributed data, multiple domains, and open-ended questions — and accuracy degrades fast. Without a validation layer, every agent is a liability.
This is an architectural problem. Not an AI problem.
Promethium sits between your agents and your data — federating access, assembling context, and governing every answer before it’s delivered. Your agents connect to one endpoint. Promethium handles the rest.
Expose your entire data estate to any agent through a single MCP server or REST API. No per-source integrations. No custom connectors. One connection, every data source.
Every response includes the business definitions, join logic, and domain rules your agent needs to generate accurate results. The Insights Context Graph assembles this automatically — no manual prompt engineering or context curation required.
Fine-grained access controls, confidence scoring, lineage, and validation — applied to every query before the answer is delivered. The Trust Harness ensures your agents only surface answers that meet production-grade accuracy thresholds.
Promethium queries data live across every source without copying or moving it. Your data stays in your VPC. Queries travel, data doesn’t.
Connecting agents to data is the easy part. The hard part is context engineering — assembling the business definitions, join logic, domain rules, and access policies that make AI answers accurate. Most teams try to wire agents directly to sources, or centralize everything into one warehouse first. Neither solves the context problem, and neither scales.
Stop building custom connectors for every agent-source pair. Connect to Promethium once — every agent, every application, every workflow gets access to the same governed data layer.
The Insights Context Graph means your agents don’t need months of prompt tuning to understand your data. Business definitions, relationships, and domain rules are assembled automatically and delivered with every query.
Governance, access controls, and validation are built into the data layer — not bolted on per agent. Deploy confidently knowing every agent is governed by the same Trust Harness that protects your analysts and business users.
Go from first connection to production-grade agent data access in weeks — not the months it takes to build and maintain custom integrations.
Deploy on top of your existing data stack without migrating or consolidating. Swap out warehouses, add new sources, or restructure your architecture — your agents never notice.
Connect once and serve every agent, application, and workflow across the business. One data layer that scales with you — not one integration per tool.
A Fortune 500 enterprise needed to give multiple AI agents and internal tools access to data spanning their cloud warehouse, CRM, and operational databases — without building custom integrations for each.
Promethium federated access across all sources through a single MCP endpoint. Agents that previously took months to wire up were connected in days — with full business context and governance built in from the start.
What used to require dedicated engineering resources per agent is now a single connection that serves the entire AI portfolio.
Give Claude, ChatGPT, or any custom agent governed access to all your enterprise data through a single MCP server. Every agent gets the same context, the same governance, the same accuracy — regardless of who built it.
Embed trusted, contextual data answers into any internal tool or application via API. Customer portals, operational dashboards, planning tools — all powered by the same governed data layer.
Swap out a warehouse, merge data estates through M&A, or migrate to a new platform — your agents and applications keep working. Promethium abstracts the infrastructure so changes underneath don’t break what’s on top.