Independent thinking. Practical technology. Real-world outcomes.
DataXRelay is a founder-led data and AI consultancy helping organizations navigate complex technology decisions — from data governance and modernization to data platforms, cost optimization and AI.
The person behind DataXRelay.
I'm Tanusri Mishra, founder of DataXRelay. I've spent 15+ years working across data, cloud and technology — designing enterprise data platforms, leading engineering teams and navigating complex modernization and transformation programs.
That experience shaped how I think about consulting. Technology decisions rarely exist in isolation — a migration affects governance, a platform decision affects cost, and AI ambitions depend on the data underneath them. The real challenge is connecting the pieces.
DataXRelay exists to help organizations do exactly that: bringing senior experience, independent thinking and practical execution to the decisions that matter.
Advisory when it matters. Build when it helps.
Not every problem needs a large delivery team. An engagement can begin with a focused assessment, evolve into strategy and architecture, continue through implementation, or become a hands-on build — whatever the problem calls for.
- 01Assess Understand the problem.
- 02Advise Make informed decisions.
- 03Architect Turn decisions into a practical design.
- 04Guide Stay involved through implementation.
- 05Build Get hands-on when building is the right answer.
- 06Enable Leave your team stronger than when we started.
What you can expect.
- Senior expertise, directly involvedYou work directly with the person responsible for the thinking.
- Practical over theoreticalRecommendations need to work within your technology, people, budget and reality.
- Flexible engagementStart focused. Expand only when the problem requires it.
- Your organization stays in controlThe goal is to build capability, not dependency.
Why DataXRelay?
Good technology decisions aren't about choosing the newest tool. They're about understanding the problem, knowing the trade-offs and choosing a path that can actually work.
The reliable route for your data.