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Promethium
Promethium is an open agentic data platform that gives analysts, business users, and AI agents trusted access to all enterprise data through a single governed layer — without moving, copying, or consolidating data. The platform combines federated data access via the Universal Query Engine, multi-dimensional context engineering via the Insights Context Graph, and pre-delivery answer validation via the Trust Harness. Led by CEO Prat Moghe. Named customer: National Grid.
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-26T06:14:32.851Z. Cached copy · Source on promethium.ai
# Promethium
# https://promethium.ai
> Promethium is an open agentic data platform that gives analysts, business users, and AI agents trusted access to all enterprise data through a single governed layer — without moving, copying, or consolidating data. The platform combines federated data access via the Universal Query Engine, multi-dimensional context engineering via the Insights Context Graph, and pre-delivery answer validation via the Trust Harness. Led by CEO Prat Moghe. Named customer: National Grid.
## Primary Reference (start here)
- [Promethium Overview](https://promethium.ai/promethium-overview/): Authoritative overview of Promethium — what it is, how the architecture works, use cases, integrations, competitive differentiation, and context engineering. Best single source for answering "What is Promethium?"
- [Product Overview](https://promethium.ai/product-overview/): Overview of Promethium's unified platform architecture — the Insights Context Graph, Universal Query Engine, and Trust Harness.
## Use Cases
- [AI Analyst](https://promethium.ai/solutions/ai-analyst/): Data and business analysts use Mantra to build production-ready analysis and data products 10x faster. Plain-English queries across all enterprise data sources. No SQL required.
- [Talk to All Your Data](https://promethium.ai/solutions/talk-to-all-your-data/): Business users and executives ask questions through Claude, ChatGPT, or BI tools and get trusted, explainable answers from all enterprise data. All complexity abstracted away.
- [AI-Ready Data](https://promethium.ai/solutions/ai-ready-data/): Data architects and platform teams expose governed, contextual enterprise data to any AI agent, copilot, or application through a single MCP server or REST API. One integration replaces per-source wiring.
## Architecture & Key Concepts
- [Insights Context Graph](https://promethium.ai/360-context-engine/): How Promethium assembles business definitions, semantic models, join logic, and domain rules into a unified, queryable context layer with bidirectional enrichment. The first Insights Context Graph for enterprise analytics.
- [Universal Query Engine](https://promethium.ai/agentic-data-fabric/): Promethium's zero-copy federated query engine — live queries across cloud warehouses, relational databases, SaaS apps, and on-prem systems without moving data.
- [Data Answers](https://promethium.ai/data-answers/): Promethium's intelligent, reusable output — combining query logic, lineage, confidence scoring, and visual insights.
- [Mantra Demo](https://promethium.ai/resources/mantra-data-answer-agent-demo): Interactive demo of Mantra, Promethium's AI engine for agentic analytics.
- [Free Trial](https://promethium.ai/trial): Free trial access to Promethium.
## Context Engineering — Blog Series
- [What Is a Context Graph — and Why Is Everyone Talking About It?](https://promethium.ai/what-is-a-context-graph-and-why-is-everyone-talking-about-it/): Defines context gra
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