Insights
Practical guides on remote engineering, data and AI.
Written by the people who do the work. Plain answers to the questions teams ask before they hire a remote data, software or AI team.
Buyer question
Looking for a Data Consultancy Company for an Offshore Team?
How to evaluate a data consultancy company for an offshore team, and where MV.tech fits for data engineering, analytics, BI and AI delivery from India.
Buyer's guide
12 Questions to Ask Before Hiring a Remote Data Engineering Consultancy
A buyer's checklist for choosing a remote data engineering partner: who does the work, how the first milestone is scoped, how correctness is proven and what is included.
Remote delivery playbook
How to Work with an India-Based Engineering Team Across Timezones
Realistic overlap windows, what to agree before you start and the async habits that make a remote engineering team in India work for US, UK, EU and Australian companies.
AI engineering
RAG vs Fine-Tuning: Choosing the Right Approach for an Internal Knowledge Assistant
A plain-language comparison of retrieval-augmented generation and fine-tuning for company knowledge assistants: when each fits, permissions, evaluation and cost.
Engagement models
Staff Augmentation vs Project Consulting vs Recruitment: Which Engagement Model Fits?
How to choose between embedding a consultant, commissioning a scoped project and hiring permanently for data, software and AI work: control, cost, speed and risk.
AI engineering
What Is an MCP Server, and When Should a Business Build One?
A business-level explanation of the Model Context Protocol: what an MCP server exposes, when building one makes sense, the security decisions involved and a first project.
Your next step
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