Prometheux | Ontology Engine
for Enterprise AI

What is Prometheux?

Prometheux is an ontology engine for enterprise AI. It makes ontologies operational — you define your data model once and use it to query, process, and act on data across any database, warehouse, or platform, wherever it lives. No migrations, no GraphDBs, no vendor lock-in.

How is Prometheux different from Databricks or Snowflake?

Unlike Databricks or Snowflake, Prometheux does not require you to centralise or migrate your data into a single warehouse. It processes data where it lives — across Databricks, Snowflake, SQL databases, and more — simultaneously, using ontologies. You get the same analytics and AI capabilities without the migration costs, lock-in, or infrastructure overhead. Prometheux also runs natively as a one-click app on both Databricks and Snowflake.

Is Prometheux an alternative to Palantir?

Yes. Prometheux is a lower-cost, faster-to-deploy alternative to Palantir for enterprise data integration and AI. It delivers the same ontology-driven data unification, workflow automation, and AI-readiness — but without the prohibitive cost, long implementation timelines, or dependency on proprietary infrastructure. Prometheux connects to your existing stack and is production-ready in hours, not months.

What is an OntologyDB?

An OntologyDB is a fully data-agnostic, ontology-native layer that sits across all your existing data sources and makes them queryable, processable, and AI-ready — without rebuilding your infrastructure or migrating data. Prometheux enables this approach, replacing the need for a traditional centralised data warehouse with a semantic layer that connects to anything and runs anywhere.

What data sources does Prometheux connect to?

Prometheux connects to any data source — SQL databases, NoSQL, Snowflake, Databricks, Neo4j, object storage, and more. It reads and writes simultaneously to any database type, format, and schema without requiring migrations or complex pipelines.

Can Prometheux be used for AI training pipelines?

Yes. Prometheux turns fragmented enterprise data into structured, ontology-grounded training data for AI models. It powers agentic AI systems with deterministic, explainable knowledge — grounding AI in facts rather than probabilistic generation. It also connects AI agents to operational ontologies via APIs or MCP.

How fast is Prometheux compared to PySpark?

Prometheux is exponentially faster than PySpark for complex data processing tasks. What takes hours in traditional Spark pipelines runs in seconds with Prometheux, thanks to its high-performance, parallel, distributed architecture.

Does Prometheux require a graph database?

No. Prometheux delivers full graph analytics — multi-hop queries, centrality analysis, shortest path, community detection — natively on your existing relational infrastructure. No GraphDB, no migration, no new infrastructure required.