If you haven’t already, please study our Bootstrapping Course and Investor Introductions page. Continuing with our theme of Bootstrap First, Raise Money Later, here is Founder William King’s story of bootstrapping Zephyr Health, a robust company in the healthcare industry. This strategy led to funding by Kleiner Perkins by the time we spoke in 2015. Zephyr Health was acquired
If you haven’t already, please study our Bootstrapping Course and Investor Introductions page. Continuing with our theme of Bootstrap First, Raise Money Later, here is Founder William King’s story of bootstrapping Zephyr Health, a robust company in the healthcare industry. This strategy led to funding by Kleiner Perkins by the time we spoke in 2015. Zephyr Health was acquired
Sramana Mitra: It’s the same kind of architecture that you are doing with your product. You’re catering to the pharmaceutical industry across their use cases and drawing hua ndred sources of data. You’re suggesting a similar architecture but catering to the end user. William King: Yes. If you think about the great companies, Apple has
Sramana Mitra: Do you have a sense of the state of the union of all that? It seems like Apple is taking a decisive position on trying to play a big role in the quantified self movement. What is your assessment? What’s happening? Who’s doing what? A small startup can’t take Apple on given where
Sramana Mitra: It seems like Veeva is a big partner of yours. William King: Yes, Veeva is a great partner. We’ve got several great partners. You talked about customer relationships. That’s exactly the kind of thing that we can help with. Veeva is an important software partner that relates to that engagement. We have data
Sramana Mitra: What data drives the use case you mentioned? William King: In our case, multi-variate analysis is a part and parcel of what we do. In that example, I would want to be looking at those three categories that I mentioned – public, proprietary, and purchased data.
Sramana Mitra: What kinds of things have they been able to do after connecting over a hundred datasets? William King: The use cases are numerous across the organization. What ends up happening is, we serve two different constituents. We serve the people who are out in the field. They’re engaging with the decisions. They’re thinking
Sramana Mitra: What are the other buckets of data? William King: We take the public domain data and co-mingle it with proprietary data from our customers. This could be anything that they’re generating from things like CRM systems, ERP, or any of the data capture system that they’ve built and are leveraging internally. We can