Sramana Mitra: Double-click down on MedTech labs. How exactly does your product play in that environment?
Sridhar Iyengar: What we’ve seen in the last 10 years or so is that there’s been a tremendous acceleration of biotech and life science startups. Much more than the decade prior to that. One of the specialties is this field called synthetic biology. It’s basically what we used to call genetic engineering 20 to 30 years ago. Genetic engineering with a whole new set of tools and a whole new set of computational systems that we can bring in AI techniques to.
>>>We observed the movement of system administrators becoming DevOps engineers.
Sridhar is leading an effort of moving lab administrators becoming LabOps engineers with the help of cutting edge technology like IoT.
>>>Sramana Mitra: I was trying to understand your specific use case that you talked about. Are you saying that your customers who are doing remote patient servicing and providing all of those functionalities are building on top of your hardware?
Jim Xiao: We allow them to just focus on the software. Even if you raise millions of dollars, it’s challenging. We free up the resources. They don’t have to think about building the custom bits and focus on the software bits. That has been a tremendous help. Imagine instead of having to build your application on top of Apple or Samsung’s rules, you get to create your own rules.
>>>Sramana Mitra: What is the differentiator? Comparable to the Apple iWatch, would it not make sense for your customer to build an app on iWatch? What is the case for using your technology?
Jim Xiao: It’s really down to control. Apple is known for having it’s wall guarded and keeping its user data to themselves. This provides a lot of challenges if you want to relay back to the FDA all the data. You’re able to pinpoint the dataset without having to use paper and pencil.
>>>Jim is building an AWS or Azure Infrastructure-as-a-Service company for rapid deployment of IOT products and use cases.
Startups can also leverage the platform to quickly build IoT products. Fascinating discussion.
Sramana Mitra: Let’s start by introducing our audience to yourself as well as to Mason.
>>>Jim Xiao, CEO of Mason, is building an AWS or Azure Infrastructure-as-a-Service company for rapid deployment of IOT products and use cases. Startups can also leverage the platform to quickly build IoT products. Fascinating discussion.
Podcast: Play in new window | Download
Subscribe: Apple Podcasts | Android | Google Play | Stitcher | TuneIn | RSS
Sridhar Iyengar is CEO at Elemental Machines. We observed the movement of system administrators becoming DevOps engineers. Sridhar is leading an effort of moving lab administrators becoming LabOps engineers with the help of cutting-edge technology like IoT.
Podcast: Play in new window | Download
Subscribe: Apple Podcasts | Android | Google Play | Stitcher | TuneIn | RSS
Sramana Mitra: Do you see the safety concerns being top of mind for the next decade or more?
Guillermo Diaz: I think it will be. It won’t be like it was last year. Safety is at the top of the mind for most customers that I talk to. There is a safety aspect to it. For us, because we have these capabilities, we just pivoted them or marketed them towards safety and health. We have the capability to do facial recognition, demographics, and gender and age detection.
We could do that earlier, and we continue to make that better. In one case, we were doing construction helmets, goggles, and gloves. All we did was switch it to masks. It’s just a different part of facial recognition.
>>>