A Purpose-Built
Engine for Ontologies
Connect and process all your data wherever it lives. Our ontology engine delivers graph analytics without GraphDBs, exponentially faster than PySpark, with deterministic outputs and full explainability built-in.
Engine & Performance
High-Performance Processing | Exponentially Faster | Distributed Architecture
High-Performance Data Engine
Optimized for scale
Process billions of data points at speed without performance degradation
Enterprise-scale processing
Parallel, distributed architecture handles massive datasets across clusters
Real-world performance
Complex network analyses resolved in seconds, not weeks
Deterministic Explainability
Deterministic outputs
The same inputs always produce the same results, with no probabilistic uncertainty
No black boxes
See exactly how each answer was derived from source data, business rules, and ontology logic
Multi-level lineage
Full provenance at the concept, fact, row, column, and value level
Built-in audit trails
Meet regulatory and compliance requirements with transparent, verifiable computations
Data & Integration
Cross-Database Querying | Declarative Logic | No Data Movement Needed
Cross-Database Processing without Migrations
Query as one system
Access data across all sources as if it lived in a single unified platform
No data replication
Work directly on existing infrastructure without duplication or movement
Simpler, efficient ETL
Replace complex pipelines with declarative logic that spans databases
Freedom to switch
Migrate in seconds, rather than weeks, via the ontology. Deploy and move data across any cloud as needed
Declarative Logic Language with Multi-Language Support
Human-readable rules
Define business concepts and rules in plain, declarative form to build your ontologies
Compute new facts from data
Rules chain concepts together until every relationship is discovered
Replace thousands of lines
Turn fragile SQL/PySpark into reusable, maintainable definitions
Multi-language support
Use familiar languages alongside Prometheux's native logic for faster onboarding
Analytics & AI
Graph Without GraphDBs | Full Explainability | Agentic Workflows
Graph Analytics without a GraphDB
Traversals & paths
Compute multi-hop relationships in a few rules. Instantly answer questions like "If this supplier fails, what breaks next?"
Centrality & communities
Identify key nodes and hidden clusters. See who matters most and which entities move together in seconds
Runs on your data
Works directly on your existing databases. No migrations, no new infrastructure
Fast & explainable
Optimized graph processing with deterministic, fully traceable results
Context That Makes AI Operational
Agent-ready workflows
Connect agents to operational logic via APIs or MCP, enabling deterministic data processing inside agentic flows
Transparent by design
No black boxes, no opaque logic. Every result is traceable to source data, rules, and computations
Full auditability
Track provenance at row, column, and value level to explain exactly where every number comes from
Domain-aware AI
Enable finance, healthcare, pharma, and industrial agents to reason using real business logic, not generic models
Infrastructure & Security
Cloud Agnostic | Zero Lock-In | Enterprise Security
Cloud Agnostic Infrastructure
Cross-cloud execution
Process seamlessly across SQL, NoSQL, graph, object storage, and file systems. Execute in your cloud, on-prem, or PX-managed environments
Decouple compute from data
Run compute in AWS while your data sits in Azure, or vice versa, on any cloud. Process data where it lives using credits from any cloud
Optional, simple migrations
Connect to any db or storage system instantly. When you do migrate, execute one-line declarative migrations instead of multi-month ETL projects
Dynamic optimization
Choose where compute runs and where data lives based on cost, credits, performance, or compliance—without changing your architecture
Security
Fits your stack—no costly migrations | Flexible by design | Your data, Your control
Integrations
Multi-source compatibility
Query S3, Snowflake, Databricks, PostgreSQL, MongoDB, Neo4j, CSVs, and anything that connects to Spark, no migrations required
Cloud Agnostic
Distribute workload across one or many cloud providers. 1-click deployment anywhere: EKS, GKE, AKS, Spark, Snowpark
Open connectors
Track provenance at row, column, and value level to explain exactly where every number comes from
Deployment
Cloud SaaS
Fast onboarding with always up-to-date platform
Private Cloud
Deploy in your VPC for control and scale
On-Premises
Keep everything behind your firewall for regulated industries
Hybrid mode
Run across cloud, private, or on-prem environments
Security
Data stays in place
Prometheux runs entirely inside your existing environments. No data copying, no risky movement, full data sovereignty with native platform security
Platform-native access control
Prometheux inherits your existing governance instead of redefining it
Built in privacy
Credentials and tokens masked by default. Support for OAuth 2.0 M2M and PAT with regular rotation
Full provenance
All queries and access are logged. Full lineage is recorded so every result is traceable back to source data and rules
Privacy without compromise
Control token scope and expiry, enforce IP allow-listing, and apply masking or anonymization
Why Prometheux?
The only data engine that makes ontologies operational
Works across your existing infra. No migrations. No GraphDBs
Exponential speed gains, minutes not months
Deterministic, auditable, compliance-ready
Purpose-built for deterministic agentic workflows you can trust
Transparent by design
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.
