About Infizeon

We believe data should be a superpower, not a headache.

Infizeon was built for the companies that move fast and need data infrastructure that keeps up.

Our Story

Most startups hit the same wall: they're generating more data than ever, but still making decisions on gut feel. The tools exist. The talent is hard to find and expensive to keep. And by the time you've hired a full data team, you've already missed the window. We started Infizeon to close that gap. We're a specialist team of data engineers, analysts, and strategists who embed with your business, build what you actually need, and leave you with systems your team can own and grow.

Clarity over complexity

We simplify, not complicate. Every solution we build is explainable, maintainable, and designed for the people who'll use it.

Outcomes over outputs

We measure success by business impact, not deliverables. A dashboard nobody uses is a failure, regardless of how well it's built.

Speed with precision

Startups can't wait 6 months for a data warehouse. We move fast without cutting corners on quality or reliability.

Partnership, not vendor

We work alongside your team, not above them. We transfer knowledge, build capability, and leave you stronger than we found you.

The team behind the work

Senior practitioners with deep startup experience — no juniors, no offshore handoffs.

J

Jayachandran

Founder & Head of Data Engineering

10+ years building data infrastructure at fintech and SaaS companies. Previously led data engineering at two Series B startups.

A

Arunkumar

Head of Analytics & BI

Former analytics lead at a top-10 e-commerce brand. Specializes in self-serve analytics and data democratization.

S

Sarumathi

Head of Insights & Strategy

Ex-management consultant turned data strategist. Bridges the gap between data output and business decision-making.

Ready to work together?

Infizeon

Turning complex data into clear, actionable intelligence for startups and scale-ups.

Available for new projects

Services

  • Data Engineering
  • Analytics & BI
  • Insights & Strategy
  • Data Infrastructure
  • ML & Predictive Models

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