Data foundations for the AI era
Most growth-stage startups today are drowning in options. They have the AI pilots and the modern stacks, but they often lack the architectural discipline to turn that data into a competitive moat.
I’ve spent my career solving these challenges within high-compliance and high-scale environments. My background includes building data foundations for global leaders like Novo Nordisk and Roche (healthcare), Equinor (energy), and Tele2 (telecommunications). I've built and operated these data foundations across on-premises, Microsoft Azure, and AWS environments, ensuring reliability where data fidelity is non-negotiable.
Solving the data foundation problem for growth-stage startups
My approach focuses on avoiding the hype cycle and balancing rapid innovation with the production stability required to scale. My goal is to ensure your architecture is actually ready for what's coming next—without the pilot sprawl that stalls so many AI initiatives.
As a Fractional CTO, I don't just build features. I partner with leadership to:
🔹 Audit the data foundation: identifying the structural bottlenecks that stop AI from being executable
🔹 Enforce data contracts: moving from centralised bottlenecks to a culture of ownership
🔹 Modernise gradually: avoiding the big bang failures by using API-driven, phased migrations
View my recent international conference presentations and briefings →
Krzysztof Słowiński