We help turn MVPs into production-ready applications, running on AWS. If you are scaling your application from MVP to production you know AI can help you build an application faster than ever. But what happens when that application needs to become a real production system? That’s where things can get messy. A vibe-coded MVP may work perfectly well as a prototype, but once real customers, real data and production workloads are involved, someone needs to work out: what can stay
If you're considering building an AI team within your business, a recent CIO article highlights one point loud and clear: success doesn’t come from creating an isolated “AI department.” It comes from building cross-functional teams that blend strategy, domain expertise, and engineering. You can read the full article here. Below is a breakdown of the key insights and what they mean for organisations investing in AI. 1. AI Only Works When It’s Tied to Real Business Value CIOs a
