Ask a question. Get a trusted answer. The Instant Data Fabric that brings the questions to the data - instead of moving the data to the questions.
Above: the Promethium mark - a nod to element 61, promethium, and the company's LinkedIn handle "pm61data." Photographed as filed on the company's press materials.
For fifteen years, the enterprise playbook has been the same: copy everything into one warehouse, transform it, and only then ask it questions. Promethium, a small company in Menlo Park, California, thinks that ritual is the problem - not the solution.
Founded in 2018 by Kaycee Lai and now led by CEO Prat Moghe, Promethium builds what it calls an Instant Data Fabric: a platform that reaches across an organization's scattered systems - cloud warehouses, on-premises databases, SaaS applications - and answers questions where the data already lives. No extract, transform, load. No duplication. The company's wager is that in the age of AI agents, the winning data layer is the one that delivers a trusted answer fastest, with the context to back it up.
That premise sounds simple. Delivering it is not. Behind every plain-English question sits a federated query engine spanning 200-plus sources, a context layer that fuses technical metadata with business logic, and governance strict enough for a regulated enterprise. The user types a sentence. Promethium does the rest.
Promethium's mission, in its own words, is to "help every business be data driven by enabling every employee to make data-driven decisions in near real time." In practice, that means giving three audiences the same superpower: analysts who need answers without filing a ticket, business users who don't write SQL, and - increasingly - AI agents that are only as trustworthy as the data they can reach.
The company's federated engine queries information across hybrid, multi-cloud environments without centralizing it first. Its 360 Context Engine brings technical metadata together with business logic, so that an answer reflects how the organization actually defines a "customer" or a "region" - not just what a raw column says. And its conversational agent, Mantra, turns a natural-language question into a complete Data Answer: generated SQL you can inspect, the metadata and lineage behind it, a visualization, and governance baked in.
A federated platform that accesses data across 200+ cloud, on-premises and SaaS sources without ETL, movement, or duplication - queried where it lives.
A conversational data-answer agent that converts plain-English questions into governed answers - complete with SQL, metadata, lineage and visualizations - shareable into existing tools and AI systems.
Fuses technical metadata with business logic so answers align with how the organization actually works, sharpening relevance across hundreds of sources.
An open agentic architecture purpose-built to deliver self-service data at AI scale - connecting analysts and AI agents to trusted enterprise data.
Where much of the market sells the destination - a warehouse or lakehouse to pour everything into - Promethium sells the connective tissue. That places it among data-fabric and virtualization players such as Denodo, Starburst and Dremio, and in quiet opposition to the "move it all first" orthodoxy of the warehouse-centric world. Its differentiator is not just federation but trust: answers you can inspect, trace, and govern, which in a serious enterprise is the price of admission for letting AI touch the data at all.
Kaycee Lai starts the company in Menlo Park to close the gap between enterprise data and actionable answers.
Backing from .406 Ventures and Zetta Venture Partners funds the federated data-fabric approach.
Insight Partners leads a $26M round, bringing total funding to roughly $34.5M to scale customer growth.
The 25-year data veteran takes the helm; founder Kaycee Lai shifts to Chief Strategy Officer.
Promethium launches its agentic platform and Mantra data-answer agent for self-service data at AI scale.
Total raised to date is approximately $34.5 million. The 2022 Series A was led by Insight Partners, with early backers .406 Ventures and Zetta Venture Partners - the latter an AI-first fund - continuing to participate. The company remains lean at around 34 employees, a deliberately small team selling into large, complex enterprise data environments.
CEO Prat Moghe brings 25 years in data and analytics. He founded and ran the cloud-analytics company Cazena, led teams at Cloudera and IBM Netezza, and holds a PhD in Electrical Engineering from UCLA. Founder Kaycee Lai, now Chief Strategy Officer, continues to drive product vision. The board and advisors include seasoned operators and investors such as Jocelyn Goldfein and Ganesh Bell.
The culture the company describes is collaboration-first, willing to challenge conventional approaches, and oriented toward bold, purpose-driven innovation. External markers back the ambition: Promethium has been named a Gartner Cool Vendor and holds SOC 2 Type II certification - table stakes for handling regulated enterprise data.
It provides an Instant Data Fabric and agentic analytics platform that lets business users, analysts and AI agents get trusted, governed answers from data across many sources - without first moving or centralizing that data.
It was founded in 2018 by Kaycee Lai, who now serves as Chief Strategy Officer. Prat Moghe, a 25-year data-and-analytics veteran, is the current CEO.
Roughly $34.5 million to date, including a $26 million Series A led by Insight Partners in 2022, with .406 Ventures and Zetta Venture Partners also participating.
Promethium's conversational data-answer agent. It turns natural-language questions into governed answers that include generated SQL, metadata, lineage and visualizations, and can publish those insights into existing tools and AI systems.
Rather than requiring you to extract, transform and load data into a central warehouse, Promethium queries data where it already lives across 200+ cloud, on-premises and SaaS sources, adding context and governance so answers are trustworthy.
Watch & listen: Product overview and demos live on the Instant Data Fabric page, and CEO Prat Moghe discusses self-service data at AI scale in the AITech Park interview.