Promethium’s 360° Context Hub aggregates and interprets technical metadata, business definitions, and usage rules across your enterprise — creating a single context layer that ensures every response is accurate, explainable, and aligned with business meaning. It’s the intelligence layer of the AI Insights Fabric, powering trusted insights for both people and AI agents.
Getting an answer is easy. Getting the right answer requires understanding what the data actually means. Even the most advanced AI systems can’t interpret user intent or align results with business logic without unified context. Definitions, metrics, and lineage are scattered across systems — causing inconsistent answers and eroding trust.
The 360° Context Hub fills this gap by combining business language, technical metadata, and usage history into one unified context model. Every query — whether human- or AI-generated — is grounded in the right definitions, relationships, and rules to deliver trusted, explainable results.
Align business and data teams with consistent definitions, metrics, and lineage.
Eliminate misinterpretation by applying technical and business context automatically.
Every answer includes its logic, lineage, and source data for complete transparency.
Context improves over time through reinforcement, feedback, and metadata updates.
Captures schema details, lineage, and query history across systems — automatically surfacing the most reliable sources and joins for every question. Analysts and agents no longer need to memorize field names or track data usage manually; Promethium applies technical context to guide accurate, efficient queries.
Defines the shared language of the business by unifying glossaries, metrics, and KPIs across catalogs, BI tools, and ontology models. The Context Hub bridges technical fields with business meaning so every answer — from “customer” to “revenue” — is generated and presented using consistent definitions across the organization.
Encodes how data should be applied in practice — from access policies to KPI logic. Promethium supports a hierarchy of rules, distinguishing between company-wide policies that enforce governance and compliance, and domain-level rules that reflect business-specific logic. This structure ensures global consistency while preserving local flexibility.
The 360° Context Hub continuously aggregates metadata, business definitions, and usage patterns to maintain a complete understanding of your data ecosystem. It learns from past queries, infers new relationships, and applies reinforcement from user feedback to keep answers relevant and accurate.
Collects and unifies technical and business metadata from catalogs, BI tools, and data platforms.
Uses GenAI and reasoning to fill gaps and derive new connections between data elements.
Automatically maps business questions to the right data, joins, and calculations for accuracy and transparency.
Learns from user endorsements, corrections, and patterns to refine future results.
Applies policies and definitions consistently across users and AI agents to ensure trusted outcomes.
Brings together technical metadata, semantic definitions, and business rules into one consistent model for the entire organization.
Every answer includes its logic, lineage, and data sources — making insights transparent and auditable.
Human feedback, reinforcement learning, and metadata updates ensure results become more precise with every use.
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