The logic your AI needs
Prometheux processes data anywhere it lives. Define ontologies and unlock knowledge that spans databases, warehouses, and platforms.


Meet the Prometheux Data Processing Engine
Define
Build Ontologies Across Fragmented Data
Define the key business concepts in your organization and the rules that govern them to build ontologies. No GraphDBs, no OWL/RDF, no expensive black-box consulting. Connect any data source to your ontology in one click, Excel, SQL, NoSQL, graph, object storage, without migrations or complex pipelines.
Process
Use the Ontology Engine to Automate Workflows
Process data anywhere it lives, read and write to any source, run graph analytics on your existing stack without GraphDBs, and deploy on any cloud with one click. Exponentially faster than PySpark with no vendor lock-in, migrate data and compute across clouds without complex pipelines.
Power AI
Data Both Humans and AI Can Work With
Connect agents via APIs or MCP for deterministic data processing with full audit trails at row, column, and value level. Fragmented data becomes shared operational context—humans and AI get the same explainable, repeatable results.
How the Architecture Works
Prometheux connects your data sources, processes through ontologies, and powers intelligent applications, from analytics to agentic and human workflows.
Applications Layer
Build agentic workflows connected to your ontology via APIs and MCP, building intelligent automation on explainable intelligence.
Ontology Engine
Use the ontology to process data across fragmented sources, with full lineage and provenance.
Data & Compute Foundation
Connect any database (S3, PostgreSQL, MongoDB, Unity Catalog, Horizon, and more) and deploy on any cloud (EKS, GKE, AKS, Snowpark, and more), no migrations required.
From Our Happy Customers
Why Prometheux?
Purpose Built for Your Industry
Power Up Your Stack in 1 Click.
Deploy on Snowflake and Databricks.
Run workloads natively on your existing compute, entirely within your environment.
Resource Center
Perspectives on our customers, future of data, AI, and ontologies.

Prometheux, brings Palantir‑style ontology-based data processing directly on Snowflake—graph‑like logic, digital‑twin‑style modeling—without requiring you to move data into a separate proprietary stack.
A case study on the application of executable ontologies in Retail.

Prometheux has seamlessly integrated the RAPIDS accelerator for Apache Spark into their proprietary knowledge graph management system, Vadalog Parallel, to leverage NVIDIA GPUs.
