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Open Innovation Q&A: Pathway AI

Over the course of the next eight weeks, we’ll be putting a series of quick-fire questions to our Open Innovation finalists to find out a bit more about where they’ve come from and what their plans are for shaping the future of our cities.

First up is Pathway AI’s CEO, Daniel Jaenicke…

How did you come up with Pathway AI and what is the problem that you are solving? 

My journey into business has been rather unconventional. After graduating, I went straight to starting my own business. The initial goal was to raise some cash for holidays without ‘actually working’. This eventually became a business, one thing led to another and, four years later, I founded a new company – Pathway AI.

Pathway AI was created after numerous conversations with insurance leaders lamenting that high risk drivers were expensive to insure because of the lack of data on their driving behaviour. I saw a real gap in the market and started to explore how we could provide them with the data they needed in order to feel safe in insuring these high-risk drivers.

Pathway Al is a visual analytics solution that not only depends on GPS data but actually monitors your driving behaviour in real-time.

Throughout the years, we have stayed true to our original goal, to improve driver behaviour, and we’re accomplishing this goal with great results.

Tell us about yourself and your team? 

The team is small; Jinay, Madhava and myself.  I take care of the day-to-day running of the company as well as liaising with insurers and setting the roadmap for the development of Pathway AI. I have created dash cameras, and been voted a Top 20 Northern Tech Company, whilst running a company that in its first year turned over £150,000.

Jinay has worked at NVidia, Imagination Technology, and InfoSys in the computer vision, AI, and machine learning fields. He leads the development of our algorithm, making sure what we pick up is accurate and consistent.

Madhava has been a full stack engineer for ten years and has also graduated from Udacity’s AI degree. He makes sure our algorithm is integrated properly into our app and runs at the performance levels it needs to.

Why did you apply to CityVerve Open Innovation programme? 

I applied to the CityVerve programme because it was too good of an opportunity to turn down.

CityVerve provides my team with the opportunity to be at the forefront of the smart city revolution, collecting, using, and defining how data is integrated in order to make the city work better for the people within it.

Pathway AI can collect up to sixty points of information simultaneously and we are only just scratching the surface for what we can do.  We want to put Pathway AI at the accessible and affordable forefront of smart cities.

How was the first week of programme?

Our first week was an intense two-day introduction where we got a crash course on CityVerve and really started to push our businesses forward around the CityVerve proposition. We have spoken to all the programme partners and we’ve honed what we’re going to develop over the eight weeks.

What are you focusing on this week? 

Our second week is focusing on getting stuck in.

Since we found out we were selected to be part of the programme, we’ve been prepping and investigating what we can do and why. We are already pushing Pathway AI further than we thought we would, and it’s really exciting.

We’re making sure that Pathway AI will be at the forefront of the development of smart cities, whilst reducing accidents, and collecting the data that is needed to make the city work for the people!

March 28, 2018 in Travel & Transport



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