# Prometheux > Prometheux: deterministic agents at scale. Combine your data and everything your organization knows into rules a machine can run and a person can verify, on the stack you already run on. ## What Prometheux does Prometheux connects to your data where it lives and turns your business logic into rules. Agents answer questions and run workflows by executing those rules, not by guessing, so the same question always returns the same answer and every result traces back to the rows behind it. - **Data, read in place.** Prometheux reads databases, warehouses, files and APIs where they live and processes them in memory. Nothing is copied or migrated, and data only moves if you want it to. - **Rules, deterministic.** Your business logic, written once and run across all your sources together. Same question, same answer, every time, with full lineage. Running rules costs no LLM tokens. - **Context, attached.** The know-how around the rules (documents, notes, a recipe book) attaches to an ontology or a single rule. It guides how rules are written and how agents read the results, but never changes the answer. - **Agents, on top.** Any model (Claude, GPT, Gemini, open-source) works with Prometheux over MCP, API or CLI. Agents power analytics, integrations back into your apps, and workflows that run deterministically, including ones that monitor themselves. ## Why deterministic agents LLMs are good at patterns in text, images and audio. They are less good at following rules exactly. Prometheux pairs the two (neurosymbolic AI): models handle language, rules handle logic, so answers are explainable, repeatable and auditable. ## Key use cases - **Explainable decisions:** credit decisions, risk and compliance with end-to-end lineage - **Root-cause analysis:** tracing failures across machines, suppliers and processes - **Digital twins:** end-to-end views of patients, networks or operations at scale - **Cross-source analytics:** queries spanning hundreds of millions of data points in seconds - **Graph analytics without a graph database:** multi-hop, recursive and network analysis on existing data ## Where it runs In your cloud (AWS, Azure, GCP, or natively inside Snowflake and Databricks), on your premises, or fully managed by Prometheux. ## Proven in production Banca Sella, Dompé, Vodafone, AstraZeneca, a Fortune 100 retailer, a European neo-bank and a US biotech. ## Industries Finance & Banking, Insurance, Pharma & Life Sciences, Manufacturing, Retail, Telecom. ## Platform - [Platform](https://www.prometheux.ai/platform): One platform for data, context and rules. Connect everything in place, make your knowledge executable, and run it deterministically for people and agents, at any scale. Covers how it works (define, run, use), explainability, architecture, deployment and security. - [Partners](https://www.prometheux.ai/partners): Databricks, Snowflake, NVIDIA, AWS. ## Solutions - [Finance & Banking](https://www.prometheux.ai/solution-finance-banking) - [Insurance](https://www.prometheux.ai/solution-insurance) - [Pharma & Life Sciences](https://www.prometheux.ai/solution-pharma) - [Manufacturing](https://www.prometheux.ai/solution-manufacturing) - [Retail](https://www.prometheux.ai/solution-retail) - [Telecom](https://www.prometheux.ai/solution-telecom) ## Resources - [Resource Center](https://www.prometheux.ai/resource-center) - [Research](https://www.prometheux.ai/research) - [Book a Demo](https://www.prometheux.ai/book-a-demo) - [Contact](https://www.prometheux.ai/contact) ## Capabilities - [Context as Code](https://www.prometheux.ai/capabilities/context-as-code): Policies and notes as governed, executable context - [Domain-Aware AI](https://www.prometheux.ai/capabilities/domain-aware-ai): Ground LLMs in your business rules - [Knowledge Graph](https://www.prometheux.ai/capabilities/knowledge-graph-builder): Query any data as a graph, nothing to build - [Ontology Generation](https://www.prometheux.ai/capabilities/ontology-generation): AI drafts executable ontologies from plain language - [Semantic Layer](https://www.prometheux.ai/capabilities/semantic-layer): Shared business definitions that actually execute - [Virtual Knowledge Graph](https://www.prometheux.ai/capabilities/virtual-knowledge-graph): Query a graph over data that never moves - [AI Lineage](https://www.prometheux.ai/capabilities/ai-lineage): Trace AI answers back to source data - [Data Lineage](https://www.prometheux.ai/capabilities/data-lineage): Row-level provenance across every source - [Deterministic AI](https://www.prometheux.ai/capabilities/deterministic-ai): Same input, same answer, every time - [Natural Language to Query](https://www.prometheux.ai/capabilities/natural-language-to-query): Ask in English, run as logic - [Neurosymbolic AI](https://www.prometheux.ai/capabilities/neurosymbolic-ai): LLM flexibility, logic you can audit - [Token Spending Control](https://www.prometheux.ai/capabilities/token-spend-control): Deterministic engine work, fewer LLM tokens - [AI Governance](https://www.prometheux.ai/capabilities/ai-governance): Business policy as executable, auditable rules - [AI Observability](https://www.prometheux.ai/capabilities/ai-observability): See every AI step, input and result - [Cross-Database Processing](https://www.prometheux.ai/capabilities/cross-database-processing): One program across every database - [Entity Resolution](https://www.prometheux.ai/capabilities/entity-resolution): Explainable record matching across every source - [Graph Analytics without a Graph Database](https://www.prometheux.ai/capabilities/graph-analytics-without-a-graph-database): Query your tables as a graph, no ETL - [Graph Traversal](https://www.prometheux.ai/capabilities/graph-traversal): Follow relationships at any depth - [Graph Visualization](https://www.prometheux.ai/capabilities/graph-visualization): See your ontology and trace its lineage - [High-Performance Data Engine](https://www.prometheux.ai/capabilities/high-performance-data-engine): Distributed reasoning on clusters and GPUs - [Recursion](https://www.prometheux.ai/capabilities/recursion): Hierarchies, supply chains and BOMs as rules - [Fast Migrations](https://www.prometheux.ai/capabilities/fast-migrations): Move data without rewriting logic - [Faster ETL](https://www.prometheux.ai/capabilities/faster-etl): Pipelines as a few readable rules - [In-Place Data Processing](https://www.prometheux.ai/capabilities/in-place-data-processing): Move the logic, not the data - [Portable Cloud](https://www.prometheux.ai/capabilities/portable-cloud): Any cloud, on-prem, Databricks, Snowflake - [Elastic Compute](https://www.prometheux.ai/capabilities/elastic-compute): Right-sized machines, on when needed - [On-Premises Deployment](https://www.prometheux.ai/capabilities/on-premises): Sovereign AI inside your own data centre - [Agentic Workflows](https://www.prometheux.ai/capabilities/agentic-workflows): Agents that call your governed logic - [Vertical AI Training](https://www.prometheux.ai/capabilities/vertical-ai-training): Fine-tune on verified, reasoning-generated data ## By Industry - [Finance & Banking](https://www.prometheux.ai/industries/finance-banking): Every financial decision, with the evidence - [Insurance](https://www.prometheux.ai/industries/insurance): Find fraud rings, pay honest claims - [Pharma & Life Sciences](https://www.prometheux.ai/industries/pharma): Discovery and quality, every step traced - [Retail](https://www.prometheux.ai/industries/retail): Recommendations with a reason - [Manufacturing & Ops](https://www.prometheux.ai/industries/manufacturing): Every failed batch traced to its cause - [Energy & Utilities](https://www.prometheux.ai/industries/energy): Outage impact and reports you can prove - [Telecommunications](https://www.prometheux.ai/industries/telecommunications): The knowledge plane for autonomous networks - [Public Sector & Government](https://www.prometheux.ai/industries/public-sector): Explainable decisions on sovereign infrastructure - [Supply Chain & Logistics](https://www.prometheux.ai/industries/supply-chain): Multi-tier supplier risk, traced end to end - [Other Industries](https://www.prometheux.ai/industries/other-industries): Industry agnostic: your rules, your data ## By Role - [For Agents](https://www.prometheux.ai/for/agents): Business rules as tools for agents - [For Data Engineers](https://www.prometheux.ai/for/data-engineers): Declarative pipelines across every source - [For Executives](https://www.prometheux.ai/for/executives): AI you can defend, logic you own - [For Startups](https://www.prometheux.ai/for/startups): Ship agents, skip the data plumbing ## Use Cases - [AI Agents](https://www.prometheux.ai/use-cases/ai-agents): Take AI agents from pilot to production - [AI Cost Control](https://www.prometheux.ai/use-cases/ai-cost-control): Pay for language, not for logic - [Data Modernization](https://www.prometheux.ai/use-cases/data-modernization): Modernize without a big-bang migration