About Smart Analytica
HQ in Newark, Delaware, US. Delivery center in Pune, India. Production delivery across five countries. 250+ engineers across four Centers of Excellence.
Our story
Smart Analytica grew up inside the data engineering work at one of the largest stock exchanges. The founding team engineered a greenfield modern data platform that replaced 5 legacy Greenplum estates, unifying multi-asset analytics, market data, and regulatory reporting across primary and disaster-recovery sites.
That platform became the foundation of everything we do.
From there, we built outward. Smart Analytica engineering teams built a ground-up product portfolio across three families: our products for conversational AI and analytics (VizIQ, OpsIQ, CortexIQ, ValenceIQ, RxIQ), a four-step Migration Suite (ProbeX → KodeX → ReconX → SynthX), and a Capital Markets Surveillance Suite engineered for compliance teams. The engineering bench became our services practice (Cloudera, Databricks, Azure, AI engineering). The patterns we engineered at tier-1 capital markets scale became an industry solution for capital markets globally.
Today we run multiple active enterprise engagements across India, the United States, Saudi Arabia, UAE, and Indonesia.
What we believe
Not pilots. Not proofs of concept. Systems that run when the day starts, when the auditor calls, when the dashboard loads at 2 AM. If a system can't run unattended by week 12, we engineered it wrong.
We sequence work in months, not multi-year programs. Each engagement is 4-16 weeks, fixed-scope, fixed-price. You see value at week 12, not month 18.
Licenses where they earn it. We default to open source for new builds. Vendors earn their keep against real workloads, not against vendor relationships or RFP scoring sheets. Vendor-neutral architecture, every platform.
Four Centers of Excellence
Where we operate
Certifications & partnerships
Partner-tier designations from the data and AI platforms we deliver in production.





By the numbers
Let's talk.
Tell us what's in your data and AI stack, what's stalled, and what would change if it worked. We'll share what we've shipped against similar patterns in production, and what makes sense as a first step.
Our Hyperscaler & Strategic Partners