“Needing insurance is like needing a parachute. If it isn’t there the first time, chances are you won’t be needing it again.”
—author unknown
Let’s be honest, when was the last time you were excited to purchase insurance? Or the last time you discussed openly with friends or colleagues about your most recent coverage?
If you’re drawing a blank, I’m not surprised. Most people hate the idea of shopping for insurance. But this state of affairs may change very soon.
Data analytics, AI, and machine learning are driving the emergence of insurtech.
And insurance being an antiquated industry is precisely why insurtech companies are worth your attention. The top players in the field are spurring big changes in an industry ripe for innovation.
As a founder or CTO within this segment, this makes your choice of tech stack all the more important. You want a technology that not only has a strong track record and large community, but also one that is the tool of choice in data analytics, AI and machine learning.
Maybe you are here because insurtech is sexy right now (see meme below) and you want to know which technologies your peers have decided to use to build their cutting-edge insurance applications.
Or perhaps you are a Python enthusiast dying to know which companies have chosen to implement your programming language of choice. Either way, we’ve got you covered.
In a continuation of our series on Python and fintech, we bring you 9 fintechs that use Python in their tech stack—insurtech edition.
If you would like to jump to the list, go right ahead. But before I get to the highlight of this article, I wanted to provide a little more context regarding the industry and its relation to Python.