Better data. Smarter technology. Practical AI.
DataXRelay is a founder-led data and AI consultancy helping organizations make better decisions about their data, technology and AI.
From governance and modernization to data platforms, cost optimization and AI strategy, we help you understand where you are, decide where you need to go, and create a practical path to get there.
Advisory-led. Hands-on when it matters.
One clear focus.
Data
Turning fragmented data into something trusted, usable and ready for what comes next.
Technology
Helping organizations make the right platform, architecture and modernization decisions.
AI
Connecting AI ambition to the data, technology and governance needed to make it work.
Your guide across the data journey.
Technology decisions rarely happen in isolation. A migration affects governance. A platform decision affects cost. AI ambitions depend on the data underneath them.
DataXRelay helps connect those pieces — bringing senior experience and practical thinking to the decisions that matter.
Modernize & migrate
Understand your current landscape, evaluate your options and create a practical path to modern data platforms.
- Migration & modernization
- Data platform strategy
- Architecture & technology assessment
- Cost & platform optimization
Build & govern
Create the foundations for trusted, scalable and well-managed data.
- Data governance
- Data quality & metadata
- Data platform architecture
- Operating models & roadmaps
AI & innovate
Move from AI ambition to practical opportunities grounded in your data and business context.
- AI readiness & strategy
- Agentic AI opportunities
- Data readiness for AI
- Use-case & implementation roadmaps
Advisory when it matters. Build when it helps.
Not every problem needs a large delivery team. Sometimes you need an independent assessment. Sometimes you need architecture and a roadmap. Sometimes you need an experienced person alongside your team during implementation. And sometimes, building something is simply the fastest way to prove an idea.
The engagement follows the problem — not a predetermined consulting model.
Assess
Understand the current landscape, challenges and opportunities.
Advise
Make informed decisions about data, platforms, governance, cost and AI.
Architect
Translate strategy into practical architectures and roadmaps.
Guide
Stay involved through implementation and help navigate the difficult decisions.
Build when needed
Get hands-on when a prototype, accelerator or specific solution needs to be built.
Why DataXRelay?
Most data and AI initiatives don't fail for lack of technology. They fail in the gaps between strategy, architecture, governance and execution — which is exactly where we work.
Founder-led — you work directly with the principal
No agency layers, no rotating contractors, no senior pitch followed by junior delivery. The person who understands your problem stays on it, from the first call to the live outcome.
Advisory when it matters, build when it helps
Neither a slides-only strategy firm nor a delivery body-shop. The engagement follows the problem, not a predetermined model.
We connect the whole journey
Migration affects governance, a platform choice affects cost, AI depends on the data underneath. We see how the pieces fit — most vendors sell one slice.
Proof we can build
RaastaBooks is a SaaS product we built end to end. We don't just advise on software — we ship it.
Capability, not dependency
The goal is to leave your team stronger than we found it — not to keep you reliant on us.
Honest about fit
If we're not the right fit for the problem, we'll tell you early.
Built from experience. Focused on what comes next.
DataXRelay combines enterprise data experience with a practical understanding of how technology decisions play out in the real world. The focus isn't on adopting the newest tool — it's on asking the right questions, understanding the trade-offs and choosing a path that can actually work.
Where is your data trying to go?
Whether you're modernizing a legacy platform, establishing data governance, evaluating your next data platform, controlling cloud costs or figuring out where AI fits — start with the problem.