the people behind ai smarty

A small team building AI customer support for the rest of us.

Two engineers, one in Sheffield and one in Albania, building the platform we wished existed when we were running our own businesses.

Portrait of Andrew Craig, Founder & CEO at AI Smarty

Andrew Craig

Founder & CEOSheffield, UK

Andrew’s background is firmly rooted in technology. Before building AI Smarty he worked for more than a decade in systems administration and software development roles within large technology companies, including Microsoft. Alongside his commercial work he has been an active contributor to open-source software for much of his career and, more recently, a hands-on contributor to a wide range of AI and machine-learning projects.

That combination of infrastructure, software development and practical AI experience is ultimately what led to AI Smarty. As generative AI began moving from research labs into everyday business, one thing became increasingly obvious: most smaller businesses were being left behind. The technology was powerful, but implementing it properly was complicated, expensive and designed around the needs and budgets of much larger organisations. And many of the supposedly simple AI products aimed at smaller businesses felt surprisingly limited.

So Andrew decided to build something better. AI Smarty was created to give businesses access to genuinely useful AI without requiring their own developers, AI specialists or infrastructure teams. Businesses can create AI agents that understand their company, work with their own knowledge and documents, and interact with customers across the channels they already use. Getting there meant solving everything from retrieval and AI orchestration to security, integrations, infrastructure, privacy and the less glamorous parts of SaaS that customers should never have to think about. But that’s rather the point. The complicated technology should sit behind the scenes. For the customer, it should just work.

Today Andrew remains closely involved in the product, from architecture and AI development through to product direction and talking directly with customers. He’s also particularly keen that things such as GDPR, data protection, auditability and sensible security practices are treated as fundamentals rather than premium features. Outside of software, Andy (as he’s more often known) can usually be found running somewhere around Sheffield or the Peak District, frequently accompanied by a dog with very different ideas about the planned route.

  • Product direction
  • AI architecture
  • Open source
  • GDPR & privacy
Portrait of Alfonso, Chief Technology Officer at AI Smarty

Alfonso

Chief Technology OfficerAlbania

Alfonso is AI Smarty’s CTO and has been a big part of the product’s growth from a very ambitious project into a serious AI platform. Based in Albania, he’s been writing software for more than two decades and has worked across the full stack long enough to have seen web development reinvent itself several times over.

These days, though, his real obsession is machine learning. Particularly the point where clever AI research has to stop being a demo and start working reliably inside a real product. That makes him a very good fit for AI Smarty. As CTO, Alfonso works across the technical architecture behind the platform, helping turn increasingly ambitious ideas into systems that are fast, scalable and, most importantly, actually work outside a developer’s laptop.

He has a particular talent for disappearing down technical rabbit holes that usually begin with something sounding reasonably simple and end several hours later with diagrams, benchmarks and the phrase, “I think I found a better way to do this.” He and Andy share the same general philosophy: AI software shouldn’t just look impressive in a demonstration. It needs to be dependable enough for businesses to actually trust it.

Away from code, things become slightly less predictable. Alfonso is a long-time World of Warcraft player and has taken part in tournaments, meaning competitive optimisation apparently continues even after the laptop closes. He’s also a committed visitor to real ale festivals, an unusual combination which means discussions about machine-learning architecture can occasionally wander into raid strategies or the merits of obscure European beer.

  • Platform architecture
  • Machine learning
  • Scalability
  • Full stack
behind the scenes

The complicated part is our problem, not yours.

Retrieval, orchestration, security, integrations, hosting. The machinery stays behind the scenes. What you get is an AI agent that knows your business and answers your customers.