Product Overview
Any Data. Any Context. Any User. Only Promethium.
Promethium’s AI Insights Fabric is the first platform to combine federated data access, multi-dimensional context engineering, and embedded trust — so every agent and analyst gets accurate, governed answers at enterprise scale.
HOW PROMETHIUM WORKS
A 3-Layered Architecture That Solves Each Challenge
Each layer solves a core challenge that breaks AI in production. Together, they wire your enterprise for trusted insights — from any data source, through the right context, to any user or agent.
UNIVERSAL QUERY ENGINE: ALL DATA
Federated Access to All Your Enterprise Data
The Universal Query Engine connects to distributed data sources across cloud, on-prem, and SaaS systems.
Query data live, in place, across every platform in your stack.
Live Data Access
Query data where it lives, in real time. No stale copies, no sync delays. Always the latest version of truth.
Zero-Copy
No data movement, no replication, no ETL pipelines to build or maintain. Your data stays in your platforms.
Cross-Source Query Execution
Run distributed SQL across multiple systems simultaneously. Combine Snowflake, Databricks, Oracle, and more in a single query. Built-in query optimization ensures performance at enterprise scale, even across complex joins and large datasets.
360° CONTEXT HUB: ALL CONTEXT
The First Insights Context Graph
The 360° Context Hub ingests and curates multi-dimensional context from across your enterprise — catalogs, BI tools, semantic models, business rules, and tribal knowledge. At its core is the Insights Context Graph: the proprietary technology that maps user intent to the right context and data, delivering personalized, accurate results for every user and domain.
Context Graph
A proprietary graph that connects data, definitions, relationships, rules, and usage patterns into a single navigable structure. The first of its kind.
Multi-Dimensional, Cross-Source Context Engineering
Ingests and curates heterogeneous context types from different sources (technical metadata, metrics, and more). Unifies fragmented and heterogeneous context into a single signal.
Domain & User Personalization
Delivers the most relevant answers based on a user’s role, domain, and query history. Context is not one-size-fits-all — it’s tuned to who’s asking and what they need.
TRUST HARNESS: VERIFIED ANSWERS
Accuracy That Holds at Enterprise Scale
The Trust Harness ensures that every insight — whether delivered to an analyst, an executive, or an AI agent — is validated, explainable, and governed before it reaches anyone.
Reinforcement, Accuracy, and Validation
Every answer is checked against the Insights Context Graph, validated for consistency, and tested before delivery. Human reinforcement and anti-hallucination safeguards ensure accuracy strengthens with every interaction.
Explainability and Lineage
Every answer includes its SQL, data lineage, reasoning path, and source context — giving full visibility into how it was generated. No black boxes.
Fine-Grained Access Control
Role-based access, row- and column-level controls, and domain policies enforced automatically at query time. Every answer is governed by default.
WHY PROMETHIUM
The Fastest & Most Scalable Way to Production Accuracy
Promethium’s architecture gets you to production-grade accuracy in a fraction of the time and cost.
And the Insights Context Graph compounds with every additional domain, making expansion faster and faster.
The AI Insights Flywheel
The Insights Context Graph compounds with use. Each cycle ingests context, validates it with users, deploys to production, and reinforces through feedback — so accuracy strengthens and time-to-production shrinks with every domain you add.
Production Accuracy at Speed
The result: Promethium reaches production-grade accuracy at a fraction of the time and cost. The combination of the flywheel, federated data access, multi-dimensional context, and embedded trust means you don’t trade accuracy for speed, you get both.
OPEN PLATFORM
The Connective Tissue of Your Enterprise Stack
Promethium connects to your data, ingests and curates context from your tools, and delivers answers wherever your people and agents work — all through native connectors and open standards.
Data Sources
Query Your Data Where It Lives
Native connectors to data platforms, cloud storage, relational databases, and SaaS application. Zero copy, federated access, no data movement required.
Context Sources
Ingest Context from Your Existing Tools
Automatically pull and write definitions, lineage, business rules, and more from catalogs, BI tools, semantic models, documents, and internal wikis.
Consumption Tools
Deliver Insights Where Your Users Work
Push trusted insights to AI agents, business apps, BI tools, and customer apps via MCP or APIs.
