Every company needs data analysts, but not every company can afford them. A junior analyst costs $80K/year, works 40 hours/week, and can only handle so many requests.
We asked ourselves: What if AI could do this better?
So we built an AI that doesn't just answer questions—it thinks like a real analyst. It maintains conversation context, asks follow-up questions, proactively explores data, and uncovers insights you didn't know to look for.
No SQL knowledge required. Just ask questions in plain English.
Never wait for business hours. Get insights any time, day or night.
Get answers in seconds instead of waiting days for analyst bandwidth.
No bottlenecks. Everyone on your team can get the data they need.
$588/year vs $80K/year for a junior analyst. Same quality, fraction of the cost.
In 2022, I was working at a data-intensive startup where we had an overwhelming amount of data—but our dashboards could only display a fraction of it. This limitation bothered me deeply.
I kept thinking: "How can we help businesses make actual decisions when we can only show them such limited information?"
That question sparked years of research. I explored different approaches, tested various solutions, and gradually discovered the most efficient way to solve this problem.
In July 2025, I started building WhoPrompt—an AI that doesn't just display data, but analyzes it like a human analyst would. We launched with beta testers, gathered feedback, and iterated rapidly.
Today, we're rapidly growing and continuously working to make AI-powered data analysis more affordable and accessible for businesses everywhere.
Democratizing data analysis by making it accessible and affordable for every business.
Your data security is our top priority. AES-256 encryption, read-only queries, and SOC 2 compliance.
Get insights in seconds, not days. Our AI works 24/7 with unlimited bandwidth.
We succeed when you succeed. Every feature is built based on real user feedback.
Working at a data-intensive startup, I was frustrated by a critical limitation: we had vast amounts of data, but could only display minimal information on dashboards. This bothered me deeply as I kept thinking about how to help businesses make actual decisions with all the information they had, because there was only so little we could show them.
Started deep research into finding the most efficient way to help businesses make actual decisions with their data. After years of exploration, I found the approach that works.
Started building WhoPrompt with the vision of AI-powered data analysis that thinks like a real analyst.
Launched with beta testers and built interesting features based on real feedback. Learning that businesses need an analyst, not just a query tool.
Rapidly growing and continuously working to make AI data analysis more affordable and accessible for everyone.