Where it all started
When Augusto Bettazzi founded DigiMV, the vision was clear but ambitious: give small and mid-sized enterprises access to the same offshore development talent that large corporations had been leveraging for decades. Headquartered in Barcelona with operations in Bangalore, India, we set out to bridge a gap that was costing SMEs their competitive edge.
The reality back then was straightforward. If you were a Fortune 500 company, you had established relationships with offshore partners, dedicated teams in India or Eastern Europe, and the infrastructure to manage distributed development. If you were a 50-person company trying to build a custom application, you were largely on your own — paying local rates that often made ambitious projects financially impossible.
We changed that.
Building the bridge
Our early years were about establishing trust and proving that offshore development could work beautifully for smaller organizations. Under Augusto's leadership — with over 20 years of experience in ITO and BPO — we built a model that combined the cost advantages of Indian development talent with the close, personal relationships that SMEs need.
Radhesh Nair, our Head of India Operations, was instrumental in this. Rather than building a massive team and hoping clients would come, we grew deliberately. Each new team member was selected not just for technical skills, but for their ability to communicate clearly, understand business context, and work as a true extension of our clients' teams.
The services we built
Over the years, our portfolio expanded organically based on what clients needed:
- Custom Applications — From CRM systems to industry-specific platforms
- Development & Support — Ongoing maintenance and evolution of existing systems
- Data and AI — Analytics, machine learning, and data pipeline development
- Cloud & IoT — Infrastructure modernization and connected device solutions
- Metaverse & Blockchain — Forward-looking projects for innovative clients
- Firmware — Low-level software for hardware products
Each of these service lines taught us something about how software delivery could be improved. And that's where the story gets interesting.
The turning point
Around 2023, something shifted in our industry. AI tools went from being interesting experiments to genuinely useful development aids. GitHub Copilot started writing decent code. Large language models could understand and generate technical documentation. Automated testing took a quantum leap.
We could have treated this as just another tool in the toolbox — the way we adopted Docker, or moved to cloud infrastructure. Many agencies did exactly that: bolt on some AI features, add "AI-powered" to the marketing page, and carry on as usual.
We chose a different path.
From tools to methodology
Sebastián Nugnez joined as Head of Delivery with a specific mandate: figure out how AI could transform not just what we build, but how we build it. The answer wasn't a single tool or platform. It was a fundamental rethinking of our delivery methodology.
We call it AI-First Development, and it touches every phase of a project:
Estimation and planning — Instead of relying solely on developer intuition (which is valuable but inconsistent), we built systems that analyze project requirements using AI, compare them against our historical data, and produce estimates that account for complexity factors humans often miss.
Architecture and design — AI helps us evaluate architectural decisions faster. We can simulate different approaches, identify potential bottlenecks, and make more informed trade-offs before writing a single line of code.
Development — Our developers work alongside AI coding assistants. Not as a replacement for thinking, but as an amplifier for productivity. Boilerplate code, unit tests, documentation — these are areas where AI excels and frees our developers to focus on the creative, complex problems that require human judgment.
Quality assurance — AI-generated test suites, automated edge case detection, and intelligent code review mean we catch issues earlier and more consistently.
Documentation and handover — Technical documentation that writes itself as code evolves. Client-facing documentation that stays current without manual effort.
A meta example: this website
Here's something we think is worth sharing: the website you're reading this on was built with AI assistance. Not generated blindly by a prompt — designed, architected, and crafted by our team, with AI accelerating every step.
The design system, the component architecture, the content strategy, the internationalization setup — all of these involved AI as a development partner. The result is a site that would have taken significantly longer to build using traditional methods alone.
This isn't a gimmick. It's a proof of concept for how we work on every client project.
Our philosophy hasn't changed
What's important to understand is that our core values haven't shifted with this evolution. We still believe in:
- User-centric approach — Technology serves people, not the other way around
- Quality over quantity — We'd rather deliver one excellent project than three mediocre ones
- Transparency — Clients know exactly what we're doing, how, and why
- Long-term partnership — We're not interested in one-off projects; we invest in relationships
AI-First doesn't contradict any of these. If anything, it amplifies them. Better tools mean higher quality. Faster delivery means more time for thoughtful design. Automated documentation means greater transparency.
The team behind the transformation
We're a deliberately small leadership team, and we think that's an advantage:
Augusto Bettazzi (CEO) brings two decades of IT outsourcing and business process experience. He understands the commercial realities of offshore delivery and ensures our AI investments translate to real value for clients.
Radhesh Nair (Head of India Operations) manages our Bangalore team with a focus on quality and developer growth. He's been instrumental in helping our Indian developers adopt AI tools effectively.
Sebastián Nugnez (Head of Delivery) drives our AI-First methodology, constantly evaluating new tools and techniques, and ensuring they integrate smoothly into our delivery pipeline.
What we've learned
A year into our AI-First transformation, here are the lessons that might help other companies:
AI amplifies talent — it doesn't replace it
Our best developers became even better with AI tools. Our less experienced developers leveled up faster because they had intelligent assistance. Nobody was replaced. Everyone became more capable.
Start with process, not tools
The temptation is to adopt every AI tool that appears on Product Hunt. We found more value in first mapping our processes, identifying bottlenecks, and then selecting AI solutions that address specific pain points.
Measure everything
The only way to know if AI is actually helping is to measure. We track development velocity, estimate accuracy, bug rates, and client satisfaction — before and after AI integration.
Clients want results, not buzzwords
None of our clients came to us asking for "AI-First development." They came asking for faster delivery, lower costs, and higher quality. AI-First is how we deliver on those expectations.
Looking forward
We're not done evolving. The AI landscape changes weekly, and we're constantly adapting. Agentic AI — autonomous systems that can plan, execute, and iterate — is the next frontier. We're already experimenting with multi-agent architectures for code review, testing, and project management.
But the foundation remains the same: human expertise augmented by artificial intelligence, in service of building excellent software for companies that need it.
If you're a company wondering how to navigate this AI transition, we'd love to talk. Not to sell you on hype, but to share what we've actually learned by doing it ourselves.
Interested in how AI-First development could work for your project? Get in touch — we'd love to share our approach.