About
Ved Consulting is a boutique Data & AI practice based in Germany, bringing 10+ years of executive-level expertise in AI strategy, MLOps platforms, and end-to-end AI delivery directly to the teams who need it.
The practice
Most AI initiatives don't fail because of the technology — they fail because of missing operating models, unclear ownership, and the gap between a proof-of-concept and production. We close that gap.
With 10+ years of hands-on experience as a delivery lead, program manager, and technical expert, we embed with your team, make real architecture decisions, and leave behind something your organisation can own and scale.
We work with enterprise clients across the DACH region and broader Europe — spanning sportswear, manufacturing, banking, insurance, and retail — with deep expertise in Azure, AWS, and Databricks environments.
How we think
These are the things we've found actually make the difference between a data platform that lasts and one that doesn't.
Textbook-perfect architecture that your team can't maintain is worse than a pragmatic design they can evolve. We find the balance.
Every engagement ends with your team being more capable than when we started. Documentation, runbooks, and pairing are non-negotiable.
We tell you when something is overcomplicated, when a simpler solution exists, and when a tool isn't the right fit — even if it's the popular one.
Data architecture decisions only make sense in the context of the business they serve. We start every project by understanding yours.
Proven patterns over novelty. A well-understood stack that your team masters is worth more than a shiny one nobody fully understands.
Everything we build is explainable. Every design decision is documented. You should never have to guess why something works the way it does.
Technology
We don't come with a fixed toolbox. Our starting point is always your existing landscape — and we build solutions that integrate with it, extend it, or help you evolve it where it genuinely makes sense.
Whether you're on Azure, AWS, GCP, or a mix — whether you run Databricks, Kubeflow, SageMaker, or something custom — we adapt. We've worked across the full breadth of modern AI and data tooling, so we can meet you where you are rather than where a vendor wants you to be.
Where we do push back is when a stack doesn't fit the requirements. We'll be honest about that. Part of what we bring is the experience to recommend the right tool for the right job — not the most popular one, and not the one we happen to know best.
We assess your existing stack first and build solutions that work with it — minimising disruption and maximising reuse of investments already made.
Where gaps exist, we introduce tooling that complements your stack — carefully chosen, well-reasoned, and with clear ownership from day one.
If your current stack is a bottleneck for your AI ambitions, we'll tell you plainly — with the evidence and the alternatives to back it up.
Work with us
We take on a small number of engagements at a time to keep quality high. Reach out to discuss your situation.
Get in Touch