Promethium
Promethium provides an AI Insights Fabric that federates live queries across enterprise data sources, curates context through its proprietary Insights Context Graph, and validates answers for AI agents and analysts. It sells enterprise SaaS subscriptions to Fortune 500 data and analytics teams across healthcare, retail, manufacturing, and financial services.
- Company typePrivate
- Founded2018
- HeadquartersMenlo Park, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Promethium does
Promethium, founded in 2018 and headquartered in Menlo Park, California, operates as a venture-backed enterprise data intelligence platform. The company has raised $34.5 million in total funding across seed and a $26 million Series A led by Insight Partners in February 2022, and currently operates with a headcount in the 11-50 range. Promethium's core product is the AI Insights Fabric, a three-layer architecture combining (1) a Trino-based Universal Query Engine that federates access across cloud, on-prem, and SaaS data sources via zero-copy architecture and pushdown optimization, (2) a 360° Context Hub featuring the proprietary Insights Context Graph that ingests and curates five levels of context (raw technical metadata, relationships, catalog definitions, semantic layer, and tribal knowledge), and (3) a Trust Harness that validates every insight through LLM-as-a-Judge consistency checks, explainability lineage, and Open Policy Agent-based access controls. The platform is delivered through sub-products including Mantra (a conversational AI Data Answer Agent), the Open Agentic Platform (a native MCP server and REST API surface for AI agents), and Data Answers (self-service insight delivery).
Promethium targets large enterprises through a hybrid go-to-market combining direct enterprise field sales, inside sales for mid-market, and an API-first motion via the Open Agentic Platform. Customers are primarily CDOs, data architects, and data/business analytics teams in healthcare, retail/CPG, manufacturing, financial services, energy and utilities, and technology/telecom. The commercial model is enterprise SaaS subscription with flat-rate, performance-based pricing that scales by worker nodes rather than per-query, per-user, or per-data-volume metrics; deployments use a hybrid control-plane/data-plane architecture with the data plane resident in the customer environment. Disclosed customer outcomes include 50x faster analysis (8 hours to 10 minutes per ticket), $1.3 million in productivity gains across a 20-analyst team in a healthcare deployment, 4-week time-to-production, and 300%+ customer ROI in year 1. Distribution is global and supported by content marketing, an executive podcast (The AI Data Fabric Show), Gartner analyst recognition, and active presence at industry conferences.
Promethium firmographics
Firmographics- Name
- Promethium
- Legal name
- Promethium
- Website
- https://promethium.ai
- Company type
- Private
- Founded year
- 2018
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Promethium provides an AI Insights Fabric that federates live queries across enterprise data sources, curates context through its proprietary Insights Context Graph, and validates answers for AI agents and analysts. It sells enterprise SaaS subscriptions to Fortune 500 data and analytics teams across healthcare, retail, manufacturing, and financial services.
- Ownership category
- akta.pro rank
Promethium industry classification
Industry- Product category
- Enterprise AI Data Fabric / Analytics Platform
- NAICS
- Software Publishers (51321), Web Search Portals and All Other Information Services (51929), Computer Systems Design and Related Services (54151)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Programming, Data Processing, Etc. (7370)
- akta.pro primary industry
- Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs) (HDAEANAH)
- akta.pro secondary industries
- Search, Retrieval & Semantic Ranking (BM25/vector, hybrid) (HDAAADAB), B2B SaaS & Enterprise Personalization (CRM, Sales, Support) (HDAAAGAJ)
Keywords
Where Promethium is headquartered
LocationHeadquarters
- HQ city
- Menlo Park
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Promethium business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Operations, Infrastructure
Revenue model
- Enterprise SaaS Subscription: Subscription-based pricing model with flat rate that scales with performance via worker nodes in the Universal Query Engine. No per-query or per-user charges. All capabilities of the AI Insights Fabric included in every deployment including Universal Query Engine, 360° Context Hub, and Trust Harness.
- Performance-Based Scaling: Pricing scales with performance requirements through worker nodes. Enterprises can scale worker nodes to match performance needs rather than data volume. Hybrid deployment model with control plane managed by Promethium and data plane deployed within customer environment.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Annual | All-in-one enterprise deployment with full AI Insights Fabric capabilities |
Go-to-market motion2 records
Distribution channels3 records
Marketing channels8 records
Promethium product offering
Product offeringCore offering
Promethium sells an enterprise AI Insights Fabric platform that delivers federated, zero-copy query access across distributed cloud, on-prem, and SaaS data sources, fuses multi-dimensional context (catalogs, semantic models, business rules, tribal knowledge) into a proprietary Insights Context Graph, and validates every answer through a Trust Harness with LLM-as-a-Judge. Customers access this via the Mantra conversational Data Answer Agent, the Open Agentic Platform (MCP/REST APIs), and self-service Data Answers for natural-language insight delivery.
Product overview
Promethium's AI Insights Fabric is a unified platform combining three core capabilities: (1) the Universal Query Engine for federated data access across cloud, on-prem, and SaaS systems with zero-copy architecture, (2) the 360° Context Hub featuring the proprietary Insights Context Graph that connects multi-dimensional context from catalogs, BI tools, semantic models, and business rules, and (3) the Trust Harness for validation, explainability, and governance. The platform is delivered through multiple integrated products: Mantra serves as the conversational AI interface enabling natural language queries; the Open Agentic Platform exposes MCP and REST APIs for agent integration; and Data Answers provides self-service insight delivery. The AI Insights Flywheel mechanism compounds accuracy with every domain added, enabling faster time-to-production over time.
Differentiator
Problem solved
Functional benefit
Brands
- Mantra: AI-powered conversational interface for Promethium's AI Insights Fabric platform. Mantra is a Data Answer Agent that enables users to ask questions in natural language and receive trusted, context-rich answers across all enterprise data sources.
- Insights Context Graph
- AI Insights Fabric
- Data Answers
Products and services
- AI Insights Fabric Promethium's core enterprise platform combining federated data access, multi-dimensional context engineering, and embedded trust, enabling analysts and AI agents to get accurate, governed answers at enterprise scale. The three-layer architecture comprises the Universal Query Engine, 360° Context Hub, and Trust Harness.
- Mantra AI-powered conversational Data Answer Agent that translates natural-language questions into trusted, governed answers across all enterprise data sources. Enables analysts, business users, and executives to ask questions conversationally and receive accurate, explainable results in minutes without writing SQL.
- Universal Query Engine Federated query engine connecting to distributed data sources across cloud, on-prem, and SaaS systems. Queries data live in place with zero-copy architecture, no ETL, no replication, and no sync delays. Built on Trino with pushdown optimization and adaptive query planning across Snowflake, Databricks, BigQuery, Redshift, Oracle, PostgreSQL, MySQL, IBM DB2, SQL Server, Salesforce, and more.
- 360° Context Hub Multi-dimensional context engineering hub that ingests and curates context across five levels (raw technical metadata, relationships, catalog/business definitions, semantic layer, and tribal knowledge) from catalogs, BI tools, semantic models, business rules, and tribal knowledge. Delivers domain- and user-personalized, accurate answers through the proprietary Insights Context Graph.
- Trust Harness Validation layer that ensures every insight is validated, explainable, and governed before delivery. Validates answers against the Insights Context Graph, provides full explainability with SQL/lineage/reasoning path, enforces fine-grained access controls via Open Policy Agent (OPA), uses LLM-as-a-Judge for logical consistency, and applies reinforcement learning to improve accuracy over time.
- Open Agentic Platform Open platform providing a native Model Context Protocol (MCP) server interface and open REST APIs for connecting any AI agent, copilot, LLM, BI tool, or application to governed enterprise data. A single integration point serves every agent, application, and workflow with full governance and lineage built in.
- Data Answers Self-service capability enabling business users and executives to ask questions and receive trusted, explainable answers from all enterprise data sources. Delivered through a conversational interface with full data lineage, confidence scoring, and source context for every answer.
Quantifiable outcome
- 50x faster analysis: average time reduced from 8 hours to 10 minutes per ticket
- +4 more outcomes
Companies that use Promethium
Customer profileNamed customers3 records
Segments10 records
Ideal customer profiles8 records
Promethium technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration28 records
AI capability12 records
Feature6 records
Promethium partnerships and signals
Strategic signalScale indicators6 records
Recent moves5 records
Expansion highlights6 records
Promethium competitors and assessment
Company assessmentDirect peers
- Starburst: Starburst offers a Trino-based federated query platform for querying data across clouds, lakes, and on-prem without moving it — directly comparable to Promethium's Universal Query Engine. Both target the data mesh / data fabric narrative and enterprise analytics teams.
- Atlan: Atlan is a modern data catalog and governance platform with active metadata, lineage, and AI-context capabilities — overlapping Promethium's 360° Context Hub and Insights Context Graph for enterprise data teams.
- Alation: Alation is an enterprise data intelligence/catalog platform providing data search, governance, and lineage — a core competing solution for the data discovery and context layer Promethium addresses.
- Collibra: Collibra is a data intelligence and governance platform focused on cataloging, lineage, and policy — addressing the same trust, governance, and context management pain points Promethium's Trust Harness and Context Hub target.
Emerging players
- ThoughtSpot: ThoughtSpot provides AI-driven natural-language analytics and search-based BI for business users — directly overlapping Promethium's Mantra 'Talk to All Your Data' use case for self-service conversational analytics.
- dbt Labs: dbt Labs builds the popular data transformation tool and is expanding into semantic-layer and metrics capabilities — competing for the semantic context layer that Promethium's Insights Context Graph ingests from and competes with.
- Glean: Glean provides enterprise AI search and a knowledge/connectors layer for grounding LLMs in workplace data — adjacent to Promethium's agentic context layer, though Glean focuses on unstructured content rather than structured data warehouses.
- Monte Carlo: Monte Carlo is a data observability and reliability platform — complementary rather than directly competitive, but increasingly overlapping the trust/governance story that Promethium's Trust Harness sells.
Broad incumbents
- Databricks: Databricks' lakehouse, Unity Catalog, and Genie natural-language interface form a broad incumbent platform that competes at the data + context + AI layer — including areas where Promethium positions its federated, agentic analytics value proposition.
- Snowflake: Snowflake's data cloud plus Horizon Catalog, Cortex AI, and Snowflake Intelligence directly address federated analytics, governance, and natural-language querying — a broad incumbent whose roadmap could subsume portions of Promethium's value proposition.
Market position
Strengths4 records
Weaknesses4 records
Competitive moat4 records
Key risks6 records
Key highlights6 records
Customer concentration
Promethium social profiles
Digital presencePromethium financial estimates
Financial estimateRevenue estimate
Valuation estimate
Promethium leadership team
Management profileNumber of profiles
Profiles1 record
Promethium funding detail
Funding detailFunding overview
Funding rounds3 records
Investors4 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Promethium M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Promethium
What does Promethium do?
Promethium sells an enterprise AI Insights Fabric platform that delivers federated, zero-copy query access across distributed cloud, on-prem, and SaaS data sources, fuses multi-dimensional context (catalogs, semantic models, business rules, tribal knowledge) into a proprietary Insights Context Graph, and validates every answer through a Trust Harness with LLM-as-a-Judge. Customers access this via the Mantra conversational Data Answer Agent, the Open Agentic Platform (MCP/REST APIs), and self-service Data Answers for natural-language insight delivery.
Is Promethium a public or private company?
Promethium is a private company. It is classified as venture growth investor backed and is currently operating.
When was Promethium founded?
Promethium was founded in 2018. It employs 11 to 50 people.
Where is Promethium based?
Promethium is headquartered in Menlo Park, United States, in the North America region.
How does Promethium make money?
Two revenue lines are on record. Enterprise SaaS Subscription is the primary driver. The others are performance-Based Scaling.
Who are Promethium's main competitors?
Direct peers on record are Starburst, Atlan, Alation and Collibra. Emerging players are ThoughtSpot, dbt Labs, Glean and Monte Carlo. Broad incumbents are Databricks and Snowflake.
Does Promethium have an API?
Yes. Promethium exposes a native MCP (Model Context Protocol) interface for any agent that speaks MCP to request data and context with full governance and lineage built in. Open REST APIs allow building custom agents or embedding Promethium into any application. The API handles the full pipeline: context assembly, validation, live query execution, and governed delivery. Connect Claude, ChatGPT, Copilot, or any LLM to live enterprise data. Promethium grounds model responses in validated, governed facts based on enterprise data. Developer documentation is at docs.promethium.ai.
What industry is Promethium in?
Promethium's product category is Enterprise AI Data Fabric / Analytics Platform. Its primary akta.pro industry code is HDAEANAH, Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs), with a secondary code of HDAAADAB, Search, Retrieval & Semantic Ranking (BM25/vector, hybrid). Its NAICS code is 51321 and its SIC code is 7372.