Prometheux

Data that thinks. On AWS. Prometheux is the context and data processing engine for humans and AI. Process data anywhere it lives, define ontologies once and unlock knowledge that spans databases, warehouses, and platforms. Deploy Prometheux on AWS in one click and run workloads natively on your existing compute, entirely within your AWS environment. Maintain IAM authentication, access controls, and VPC security boundaries. Connects to Anything | Runs Anywhere | Ridiculously Faster

Key Capabilities:

Cross-platform: Unify and connect data across databases, data lakes, warehouses, and platforms, with or without migrations. Query PostgreSQL, Neo4j, S3, Aurora, Redshift, CSVs, and more directly within your AWS environment, governed by your existing IAM, Lake Formation, and security policies. One click, one layer, full visibility. No data migration required, data can stay in original sources.

Native graph analytics: Create a virtual knowledge graph and run graph analytics natively on AWS. Unlock traversals, centrality, shortest-path reasoning, and more, directly across your AWS data infrastructure. No GraphDBs, no migrations required.

Faster performance: Replace 100+ lines of SQL or Python with just a few lines of human-readable logic. Faster than traditional query engines for recursive and graph analytics and reasoning. Less code. More intelligence.

Seamless migrations: Move to AWS at your own pace: analyze, test, and transform data before, during, or after migration. No complex pipelines, no re-architecture, no downtime. Fast to start, frictionless to scale.

Semantic consistency: Define business concepts once (like "employee", "risk score", "gene") and reuse them across your entire AWS environment. Create a unified semantic layer both humans and AI can understand. One truth, everywhere.

Explainable AI: Feed deterministic knowledge into LLMs for grounded, auditable intelligence. Enhance Amazon Bedrock and other AI tools with structured, explainable context. Trusted answers, every time.

Industries:

Finance & Financial Services: Deliver explainable company ownership analytics, fraud detection, and risk scoring while transforming legacy Excel workflows into audit-ready intelligence.

Pharma & Life Sciences: Accelerate drug discovery and patient journey analysis with HCP network mapping and value-level lineage that meets regulatory compliance.

Manufacturing & Operations: Unified risk analysis and traceability across enterprise systems and compliance reporting.

Enterprise AI & GraphRAG: Ground LLMs and RAG in deterministic logic for explainable AI that regulated industries trust.