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Promethium
Menlo Park, California, United States
What it is
Promethium is an AI Insights Fabric for querying enterprise data wherever it resides. Its Universal Query Engine runs distributed queries across cloud, on-premises, and SaaS systems without copying data, including SQL across Snowflake, Databricks, and Oracle. The 360° Context Hub gathers catalogs, BI tools, semantic models, business rules, and tribal knowledge into an Insights Context Graph. Trust Harness checks answers against that graph and supplies SQL, lineage, reasoning, and source context. It describes role-based access, row- and column-level controls, and domain policies applied at query time. Deployment uses a managed cloud control plane with a customer data plane in a VPC or on premises. Native connectors include PostgreSQL, S3, and Salesforce. MCP and REST APIs connect agents and tools. Enterprise deployments include dedicated support and SLAs. Pricing is custom on request and tied to performance rather than data volume, users, or API calls.
For and against
For
- Queries data in place across cloud and on-premises systems
- Context graph captures business rules and knowledge
- Answer validation includes lineage and source context
- Role, row, and column controls at query time
- MCP and REST access for agents
Against
- Pricing is available only on request
- Enterprise deployment uses a hybrid architecture
- Dedicated support and SLAs target enterprise environments
The verdict
Promethium brings federated querying, business context, and answer validation into one enterprise platform. Its hybrid deployment and governance controls target organizations operating varied data systems and AI agents.
Who it suits
Promethium suits data and business analysts, executives, and applications that need governed answers across distributed enterprise systems. It also fits teams deploying AI agents through MCP or REST APIs.
Plans and prices
Enterprise (custom pricing)
No per-query or per-user charges · Performance scales by Universal Query Engine worker nodes · Unlimited data connectors · Dedicated support and SLAs
Read 2 Oct 2026 · promethium.ai
On the record
- Agent access
- The Open Agentic Platform describes integrations with AI agents and tools through MCP and open standards.promethium.ai · read 2 Oct 2026
- Answer validation
- The Trust Harness validates answers against the Insights Context Graph and provides SQL, data lineage, reasoning, and source context.promethium.ai · read 2 Oct 2026
- Business context
- The 360° Context Hub curates context from catalogs, BI tools, semantic models, business rules, and tribal knowledge into the Insights Context Graph.promethium.ai · read 2 Oct 2026
- Cross-source SQL
- The Universal Query Engine can run distributed SQL across systems including Snowflake, Databricks, and Oracle.promethium.ai · read 2 Oct 2026
- Deployment
- Promethium describes a hybrid architecture with a Promethium-managed cloud control plane and a customer-deployed data plane in a VPC or on-premises environment.promethium.ai · read 2 Oct 2026
- Governance
- The Trust Harness describes role-based access, row- and column-level controls, and domain policies enforced at query time.promethium.ai · read 2 Oct 2026
- Integrations
- The maker lists native data connectors including Snowflake, Databricks, Oracle, PostgreSQL, S3, and Salesforce.promethium.ai · read 2 Oct 2026
- Intended users
- Promethium presents use cases for data and business analysts, business users and executives, and agents and applications.promethium.ai · read 2 Oct 2026
- Live federation
- The Universal Query Engine queries distributed data in place across cloud, on-premises, and SaaS systems without copying it.promethium.ai · read 2 Oct 2026
- Pricing limits
- The maker states that its pricing has no charges for data volume, user counts, or API calls, with cost tied to performance.promethium.ai · read 2 Oct 2026
- Security features
- The pricing page lists SSO, RBAC, VPC deployment, and audit logging as included enterprise security features.promethium.ai · read 2 Oct 2026
- Support
- Every deployment includes dedicated expert support and SLAs for enterprise environments.promethium.ai · read 2 Oct 2026
- What it does
- Promethium’s AI Insights Fabric lets people and AI agents query, understand, and trust enterprise data wherever it lives.promethium.ai · read 2 Oct 2026
