Data, context and rules, processed in one platform
Connect everything in place, make your knowledge executable, and run it deterministically for people and agents, at any scale.
SOC 2 Type II certifiedTrust the answer
Deterministic
Results you can rerun, test, and sign off on.
Explainable
See which rules and steps produced each result. No black box.
Governed
Control access and spend across teams and agents.
Run it anywhere
Owned
Your logic survives warehouse moves, team changes, and tool sprawl.
Portable
On your premises or in any cloud. No migrations, no lock-in.
Scalable
Billions of data points in seconds, on compute you already have.
Enterprise 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.
Analytics
Graph and BI
Integrations
Back into your apps
Agents
Run workflows deterministically
Models
Define the ontology, read answers, and power analytics, integrations and agents
Your data sources
Connected in place: warehouses, databases, files and APIs. Nothing to migrate.
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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
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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
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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, AKS, GKE, Databricks Clusters, Snowpark Containers
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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
A purpose-built engine for data + AI.
Connect your data in seconds and reach production in weeks, not months. Supported by our agents and forward deployed engineers.
Define Your Context and Rules
Connect your data in place and surface key context, definitions and rules. Work with our specialized agent, engineers and your teams to codify your unique IP and competitive advantage: your business rules.
Connect in place
Warehouses, databases, object storage and files, whether SQL, NoSQL or graph. Read and write without migrations or new pipelines.
Readable rules
Declarative rules that read like the business logic they encode, with SQL, Python and Cypher alongside where you need them. Rules build on each other to work out new facts.
Context and rules, together
Policies, documents and expert notes live in the Context Layer, linked to the rules that use them. Agents get the context and the logic, so they don't have to guess.
Your governance stays
Prometheux works inside your existing access controls, such as Snowflake RBAC and Unity Catalog. Credentials never travel with a shared ontology.
“A plant is at risk if any supplier in its chain, at any tier, is disrupted.”
Run them on any data, at any scale.
The Prometheux engine runs your rules directly against live data, across databases and clouds at once, and returns the same answer every time.
One query, many systems
Snowflake, Databricks, BigQuery, Postgres, Oracle, Neo4j, S3 and more, queried as if they were one system.
Graph analytics, no graph database
Multi-hop paths, shortest paths, transitive closure, PageRank, degree and betweenness centrality, connected components, on the relational data you already have.
Fast at scale
The engine runs your rules as distributed, parallel jobs on Apache Spark, with optional GPU acceleration.
Your choice of compute
Run on Databricks, Kubernetes, a standalone Spark cluster or Prometheux Cloud, and query your data where it lives.
- Databricksops.bom12.4M rows
- Postgresrisk.events38K rows
- Snowflakekyc.suppliers2.1M rows
- read in place
- join across 3 systems
- follow every supplier tier
Put the answers to work.
Every result is ready for the people and systems that need it, through the tools they already use.
Agents
Connect over MCP, API or CLI. Agents call your rules instead of rewriting queries each time: fewer tokens, the same answer.
Analytics
Build dashboards and apps on your concepts, or ask about any result in plain English or SQL.
Applications
Write results back to your databases, warehouses and files: on a schedule, when the data changes, or on demand.
Domain-aware AI
Finance copilots that understand ownership structures. Pharma agents that trace drug interactions. Grounded in your rules, not a generic model.
Every answer shows its work.
For results that have to stand up to a regulator, an auditor or a board. Each one traces back to the rules that produced it and the exact rows it came from.
Deterministic
Same input, same output. Rerun it, test it, sign it off.
Explainable
See which rules, and which source rows, produced each result. No black box.
Lineage down to the fact
Any result can be traced back through the rules to the source facts that produced it.
Audit-ready
Rules are versioned with snapshots and Git, and any result can be traced to the rules and source facts that produced it.
- ↻Depends on Kora Steel at tier 2, through Fastenixops.bom · row 4471ops.bom · row 9120
- Kora Steel is disruptedrisk.events · row 233
Deterministic · replayable · same rows every time
Runs where you need it. Stays under your control.
Deployment
- Prometheux cloud
- Fully managed, always up to date.
- Your cloud
- Your own VMs or cluster on AWS, Azure or GCP.
- Inside Snowflake and Databricks
- Native apps that run entirely within your own account.
- On-premises
- Your own servers or bare metal, on Docker or Kubernetes.
Integrations
- Data
- Snowflake, Databricks, BigQuery, Postgres, Oracle, Neo4j, S3, Iceberg, files and 30+ more connectors, plus any REST API.
- Agents
- Claude Code, Cursor, ChatGPT, Databricks Genie Code, Snowflake Cortex and any MCP client, plus a REST API, Python SDK and CLI.
- Models
- OpenAI, Azure OpenAI, Google Gemini and Vertex AI, or Snowflake Cortex.
Security
- SOC 2 Type II certified
- Independently audited security controls. Request the report.
- Data stays in place
- Your source data is read in place with no copy. Full data sovereignty.
- Your access controls
- Runs under Snowflake RBAC and Unity Catalog governance. Revocable API tokens and viewer or editor sharing.
- Versioned and traceable
- Rules versioned with snapshots and Git. Any result can be explained.
Start on your stack in one click
Run Prometheux inside the platforms you already use.
Where is 99% not good enough?
Bring us one critical workflow. Our Forward Deployed Engineers will help you run it autonomously and deterministically at scale in days, not months, on the data and infrastructure you already have.
Scale your entire operations tomorrow.
