One Platform.
All Your Data.
Prometheux processes data anywhere it lives. Define ontologies once and unlock knowledge that spans databases, warehouses, and platforms. You get connected intelligence that's explainable, auditable, and ready for humans and AI workflows.
Getting started is easy
How it Works
From connection to production in hours, not months. Supported by our forward deployed engineers.
Define
Build an Ontology
and Unify your Data
Prometheux connects to your existing data wherever it lives without forcing migrations, building pipelines, or duplicating data. Work on your terms, with your security, at your speed.
Define Ontologies Natively
No GraphDBs, no OWL/RDF, no black-box consulting—ontologies native to your existing stack. Replace 100+ lines of PySpark with simple, readable rules. Define "Customer" or "Risk" once, apply across all systems automatically.
Connect Any Data Source
Read and write simultaneously to any DB type, format and schema - SQL, NoSQL, graph, object storage, etc. No migrations. No complex pipelines. Connect all your data to your ontologies in one click.
Fully Reusable
Domain experts encode business logic and data relationships once as concepts and business logic. No recoding, no reinterpretation, no conflicts. Fully reusable.
Your Security, Your Rules
Maintain your existing authentication protocols, access controls, and security boundaries. Prometheux respects your governance. Data never moves without your permission.
What this means for you
Process
Use the Ontology Engine to Automate Workflows
Use the Prometheux Ontology Engine to process data anywhere it lives. Query, read, and write across any data source without migrations, deploy on any cloud, run graph analytics without GraphDBs, avoid vendor lock-in, and achieve dramatically faster performance than traditional Spark pipelines.
Query Across Any Data Source
Use your ontologies to process data anywhere it lives. Read and write to any source, no migrations required.
Deploy Anywhere
Run on-premise, in a private cloud, or SaaS wherever your business requires it. One-click deployment on Databricks and Snowflake as a native app and partner.
Graph Analytics Without GraphDBs
Run traversals, centrality analysis, recursion, multi-hop queries, shortest path processing, community detection, and more. Natively on your existing relational infrastructure. No graph database required. No migration needed.
Exponentially Faster, No Vendor Lock-In
Outperforms optimized PySpark for complex processing. What takes hours in traditional systems runs in seconds with Prometheux. Migrate data and compute across clouds and DBs without complex pipelines.
What this means for you ⟶
GET STARTEDPower AI
Data Both Humans
and AI Can Work With
Prometheux turns fragmented enterprise data into shared, operational context for humans and AI. By grounding agents in executable ontologies, AI systems move from probabilistic generation to deterministic execution, with full transparency, traceability, and control.
Agentic Workflows
Connect AI agents to operational ontologies via APIs or MCP, enabling deterministic data processing within agentic workflows.
Semantic Grounding
Transform fragmented enterprise data into shared, executable context that both humans and AI can reliably operate on.
No Hallucinations
Give AI models structured knowledge they can trust. Ground probabilistic models in deterministic logic, ensuring AI answers are factual, verifiable, and defensible.
No Black Box
Transparent by design. No opaque logic, no consulting lock-in, full operational control over how data is processed.
Full Audit Trails
Track data provenance at row, column, and value level. Know exactly where every number came from, which rules computed it, and which source data contributed to each result.
Domain-Specific Intelligence
Train AI on your connected enterprise knowledge. Finance copilots understand ownership structures. Pharma agents trace drug interactions. Manufacturing systems predict cascading failures, all grounded in explainable logic.
Deterministic, Repeatable
Get the same explainable results every time. No black boxes, no "the model decided," no guesswork. Same input, same output, always traceable.
Compliance-Ready
Make AI ready for regulatory requirements for finance, healthcare, pharma, and enterprise governance. Every computation is transparent, traceable, and auditable, built-in, not bolted on.
What this means for you ⟶
GET STARTEDEnterprise
Architecture
That Scales
Prometheux sits between your data sources, applications and agents, processing data in place with ontology-based processing that powers everything from analytics to intelligent automation.
Data Agnostic
- Read and write simultaneously to any DB type, format & schema—SQL, NoSQL, graph, object storage, and more
- Connect S3, PostgreSQL, MongoDB, GCS, BLOB, MariaDB, Unity Catalog, Horizon Catalog, Neo4j and more
- Migrate data across clouds and databases without complex pipelines
Ontology-Based Processing Engine
- Simply and quickly define and iterate over ontologies—1 solution vs many complex tools (OWL, SPARQL, SHACL, Cypher, PySpark...)
- Perform complex relational and graph analytics on your existing infrastructure
- Highly optimized ETL pipelines in 1-2 lines
Cloud Agnostic
- Distribute workload across one or many cloud providers
- Scale horizontally on clusters—keep performance high as data volumes grow
- 1-click deployment anywhere: EKS, GKE, AKS, Spark, Snowpark
Power Intelligent Applications
- Build analytics, dashboards, and agentic workflows on explainable intelligence
- Connect your ontology to agentic workflow via API and MCP for custom applications and automations
Why Prometheux?
Power Up Your Stack in 1 Click.
Deploy on your existing infrastructure. Run workloads natively on your existing compute, entirely within your environment with our native integrations.