Every vendor promises you can just ask questions and get answers.
In practice, most AI-powered analytics fail in production — and the reason is architectural.
The answers you need span multiple systems — your CRM, your warehouse, your SaaS platforms, your on-prem databases. No single tool sees the full picture, so you never get the complete answer.
What does “revenue” mean? “Active customer”? “Churn”? The definitions and business rules that make answers meaningful are scattered across catalogs, spreadsheets, and people’s heads. Without context, AI gives you technically correct answers that are business-wrong.
AI analytics work in controlled demos. But in production — across distributed data, multiple domains, and open-ended questions — accuracy degrades fast. There’s no systematic way to validate whether the answer you’re looking at is trustworthy.
Promethium works behind the scenes — connecting to all your data, assembling the right business context, and validating every answer before it reaches you. You just ask the question.
Ask questions in plain language through the AI tools your teams already use. Promethium delivers the data and context behind the scenes — so every answer is grounded in your actual enterprise data, not just what the model knows.
Stop waiting for someone to build you a report. Ask follow-up questions, drill into anomalies, and explore across data sources — conversationally, through the AI tools your teams already use.
Every answer comes with lineage, confidence scoring, and a clear explanation of how it was derived. When your team presents to leadership, they can show exactly where the answer came from and why it’s trustworthy.
Watch a business user ask Claude a question that spans multiple data sources — and get a trusted, explainable answer in seconds.
Other “talk to your data” tools only work within a single platform and lack the context to deliver production-grade answers. Promethium is architecturally different.
Ask a question that spans your CRM, warehouse, and SaaS tools — and get one answer. No data movement, no waiting for engineering to build a pipeline. Your data stays where it is.
The Insights Context Graph automatically assembles business definitions, rules, and metadata from across your systems — so every answer reflects how your organization actually thinks about the data, not just what’s in the schema.
A finance executive and a marketing analyst asking the same question should get different answers — scoped to their domain, their permissions, and their context. Promethium delivers that automatically.
Get answers to complex, cross-source questions in minutes — not days of waiting for the data team to build a report.
Every answer comes with lineage and confidence scoring. Present to leadership knowing exactly where the data came from and how it was validated.
Works through Claude, ChatGPT, and the AI tools your teams already use. Zero training, zero change management.
A global retailer’s product quality and merchandising teams needed to analyze return patterns, explore root causes in CRM notes, and make faster sourcing decisions — without waiting on the data team.
Promethium federated data across their warehouse, CRM, and reporting tools with zero data movement. Now, team members ask questions like “Which vendors had the highest return rates last quarter?” and get trusted, contextual answers — with full lineage they can explain to leadership.
The result: Business teams that used to wait days for ad hoc reports now get instant insights through the AI tools they already use, and can explain to leadership exactly how they got the answers.
A VP of Sales asks Claude: “What’s our pipeline coverage for Q4 across regions?” and gets a trusted answer pulling from CRM, finance, and planning systems — in seconds, not days.
A marketing director asks Claude: “Why did conversion drop in EMEA last month?” Promethium queries across the ad platform, CRM, and web analytics to surface the answer — no dashboard required, no ticket filed.
A product manager asks: “Which features are driving the most expansion revenue?” The answer requires data from product analytics, billing, and CRM — and Promethium assembles it automatically, with the right business definitions applied.