Deliver accurate, explainable answers by combining business language, technical metadata, and memory — all in one unified context layer.
Getting an answer is easy. Getting the right answer with distributed enterprise data requires deep understanding. Even the best AI systems don’t understand what users mean without business definitions, technical metadata, and usage history. Promethium’s 360° Context Engine fills that gap — so every Data Answer is grounded in the context it needs to be accurate, relevant, and trusted.
Understands everyday business language – synonyms, KPIs, domain terms – and maps them to the right data.
Uses schema, lineage, joins, annotations, and usage patterns to identify relevant sources and build accurate queries.
Learn from past interactions to improve over time — by remembering preferred joins, definitions, and validated responses.
Pulls metadata from BI tools, catalogs, data platforms, and ontology models to bring a complete view – before the query is even written.
Fills in the gaps using Gen AI. Lets users iterate and reinforce results with endorsements and feedback.
The 360° Context Engine combines technical metadata, business definitions, and knowledge models to understand every question. It continuously enhances its results by crawling your systems, deriving context, inferring new relationships, and letting teams reinforce based on their experience.
Ensure teams finally speak the same language with shared definitions.
Eliminate vague results and misaligned joins with full explainability.
Skip the back-and-forth. Get the right answer faster.
Each Data Answer improves the next — thanks to reinforcement, memory, and learning.
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