Making Blockchain Insurance Actually Make Sense
Look, blockchain and insurance sound complicated together. They don't have to be. We've spent years figuring out what actually works when you're trying to understand these systems—not just theory, but real approaches that stick.
Real Learning Takes Longer Than You Think
Back in early 2024, I watched someone try to learn smart contract basics in two weeks. Didn't go well. The concepts clicked, sure, but understanding how they actually apply to insurance verification? That took months.
And that's okay. We're dealing with two complex fields here. Traditional insurance has decades of regulations and practices. Blockchain introduces entirely new ways of thinking about data and trust. Expecting to master both quickly just sets you up for frustration.
Our autumn 2025 programs run for eight months because that's what experience taught us. Not because we want to drag things out, but because genuine understanding develops over time. You need space to experiment, make mistakes, and see how the pieces actually fit together in practice.
Stellan Bergqvist
Curriculum Development
Spent three years in Taiwan's insurance tech sector before joining us. Started teaching because too many programs skip the messy middle part where concepts turn into capability.
What Actually Helps When You're Learning
These aren't revolutionary insights. Just patterns we've noticed from working with people who actually went on to work in blockchain insurance roles. Some stuff matters more than you'd think.
Build Things That Fail
Reading about distributed consensus is one thing. Writing a smart contract that doesn't work the way you expected—then figuring out why—that's where learning happens. Our January 2026 cohort will spend considerable time debugging intentionally flawed insurance claim contracts.
Ask Dumb Questions
Seriously. The Taiwan insurance market has specific regulatory quirks that affect blockchain implementation. If something doesn't make sense, it might be because the context is missing. The best technical people we've worked with weren't afraid to ask "why does this regulation exist?"
Follow Your Confusion
When a concept feels slippery, that's not a sign you're failing. It means you're hitting something important. Last year, a student got stuck on oracle problems in insurance verification for three weeks. Turned out that confusion led to understanding a fundamental challenge in the field.
Want to Explore This Further?
We're opening applications for our September 2025 program in a few months. Eight months of working through blockchain insurance systems with people who've been doing this work in Taiwan's market. Not a shortcut, but a real path.