Senior people, end to end
The engineers who scope the work build it, review it and hand it over. There is no junior bench behind the proposal and no account manager between you and the team.
About MV.tech
MV.tech is a data engineering, software development and AI consultancy founded by Meet Vaghasia in 2022 and based in Ahmedabad, Gujarat, India. We build cloud warehouses, reliable reporting, business applications and AI automation for companies worldwide. Our remote team works directly with your technical and business teams, with responsibilities and timezone overlap agreed before delivery starts.
Founder
How we operate
The engineers who scope the work build it, review it and hand it over. There is no junior bench behind the proposal and no account manager between you and the team.
India Standard Time overlaps every major business region for part of the day. We fix a collaboration window in your local time and keep decisions written down between calls.
Pricing is agreed against a written scope, or the capacity and duration of an embedded role. Deliverables, testing, documentation and support expectations are clear before you commit.
Every engagement starts with a first milestone, acceptance criteria and review points. You can judge the working relationship on something real before expanding it.
Least-privilege access, separated environments and credentials handled the way you would expect from an engineering team that also runs production systems. See our delivery standards.
If a problem does not need us, or needs something other than software, we say so on the first call. Long relationships come from useful advice, not from selling every project.
Experience
MV.tech is a compact company, but the experience behind it comes from enterprise, platform and product work: analytics modernisation programmes moving legacy reporting into a cloud warehouse, financial and operational data platforms where every figure has to reconcile, and AI automation connected to real business systems. Our engineers have delivered for organisations including Google, Volvo, BCW, RootstockLabs, Chainlabs, Toptal and Turing, directly or through vetted talent platforms. That background shows in how we treat data quality, access control, documentation and handover.
Our engineers have worked with
These names describe professional experience of the MV.tech team. They are not endorsements, current partnerships or sponsorships.
Company facts
Where we fit
Reports disagree, refreshes fail or a warehouse migration is stuck. Start with one source-to-report flow, agreed metric definitions and checks your team can review.
Data engineeringYour team needs an application, an integration or an AI assistant connected to approved business information. Start with one workflow, its users and a way to test whether it works.
Find the right serviceYou have a backlog and a delivery lead, but need data, software or AI experience. Define the role, duration and collaboration hours; we confirm fit and availability before an engagement.
Embedded specialistsTalk to the team
Bring the problem, your current systems and the result you need. We will discuss a useful first milestone, who would own it and what we need to learn before estimating the work.