We turn enterprise data into
decisions that move markets.
RUSA Analytics is an AI-first data analytics firm helping CPG, Retail, Finance, Insurance and Healthcare enterprises build intelligence systems that work at scale.
OUR STORY
Built to close the gap between data and decision.
RUSA Analytics was founded on a single observation: most enterprises are rich in data but starved of insight. Legacy BI tools produce reports. We build intelligence systems that produce outcomes.
Starting in the CPG and Retail sectors, we developed domain-specific AI frameworks that encode industry logic, not just generic machine learning. Today, we serve enterprises across five industries, from our base in Bengaluru.​
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Our name reflects our values: Reliable, Unified, Scalable, Actionable— the four properties every enterprise data system must have.
COMPANY TIMELINE​
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2024
Founded in Bengaluru
Core team of 4, focus on Retail and CPG industry
2025
Expanded to finance & Insurance
First international client onboarded
2026
AI Engineering practice launched
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"The question was never whether companies had data. It was whether they had the systems to act on it before their competitors did."
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— LR Ashwath Dheeran, CEO, RUSA Analytics
WHAT WE STAND FOR.
The principles that guide every engagement.
These aren't wall posters. They're the criteria we use when we disagree on direction, scope, or priority — and the lens through which every client deliverable is evaluated.
Domain First​
We don't parachute generic AI into industry problems. Every model, dashboard, and pipeline we build encodes sector-specific logic — CPG, Retail, Finance, Healthcare.
Scalable by Design
We build for the enterprise you're becoming, not just the one you are today. Architecture decisions made early compound — for better or worse.
Outcomes Over Outputs​
A report is not a result. We measure engagement success by the decisions made and value created — not the number of dashboards delivered.
Client Capability First
We transfer knowledge, not dependency. Our engagements leave clients with stronger internal teams and systems they can own and extend.
Systems Thinking
Data problems are rarely data problems alone. We look upstream to data foundations, downstream to action layers, and across to people and processes.
Rigorous Transparency
We show our reasoning, document our assumptions, and tell you what we don't know as clearly as what we do. No black boxes — in models or in consulting.
