BUILT TO GUIDE THE FUTURE.
Founded in 2019, DATA POEM emerged from a single frustration: enterprises had sophisticated measurement tools that could describe the past but couldn't confidently make predictions.
An endless cycle of dashboards, reports, and conflicting models consumed budgets, fragmented decisions, and left the most important question permanently unanswered:
What should we do next?
We built POEM365 — the world’s first Large Causal Foundation Model — to answer it.
- One unified model
- Every growth driver
- The whole truth
WE EXIST FOR THE WHY.
The why behind every decision. Every pattern. Every breakthrough.
That relentless curiosity is what makes us different.
Where will your curiosity take you?
Great things are rarely built alone. Meet the team making it happen.
DATA POEM was born from a simple frustration. Enterprises were spending millions on analytics that could answer almost every question — except the one that mattered most. What should we do next?
Founder Bharath Gaddam had a clear diagnosis: the problem wasn't data or talent, it was architecture. Correlation-based models were never going to cut it for the complexity of enterprise growth. The industry wasn't under-resourced. It was fundamentally mis-built.
So Bharath brought together two co-founders who saw it the same way. Sathyamurthy Namakkal built the operational backbone – the teams, processes and infrastructure to scale something entirely new. Chinmay Joshi brought the deep AI research and engineering muscle to actually build it. Together, they set out to do what the industry said was impossible: a single, unified causal foundation model for enterprise growth.
The result was FOUNT and POEM365 – the first pre-trained foundation model purpose-built for enterprise growth decisions.
Today, DATA POEM manages over $2 billion in growth budgets for Fortune 500 brands across CPG, Automotive, E-commerce and Retail.
“We built POEM365 to end analytics theatre. One model. Every driver. The whole truth.”
Bharath Gaddam, Founder & CEO
