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EXECUTIVE Q&A With Rajat Khare, Founder Of Boundary Holdings.docx
1. EXECUTIVE Q&A with Rajat Khare,
Founder of Boundary Holdings
CD MEDIA (CDM): Can you tell us about your background?
Rajat Khare (Founder of Boundary Holdings): I come from the world of
computer science and I specialize in data analytics and AI.
I’m from IIT Delhi, which in the US is very popular because all the tech firm CEOs
are from IIT Delhi. In many cases, they’re literally from the same university. And
when I was at that university, I started a business around training in AI and in
related fields such as robotics.
I then went on to build a business around AI and robotics spanning across
multiple fields, like the financial industry, stock markets, safety, industrial
automation, and so on. And further on, I started Boundary Holding, a deep-tech
investment firm. The vision behind Boundary Holding was to help innovative
young entrepreneurs who were very tech-driven, much like I was.
It took me a long time to get into the commercial arena via technology driven
solutions and help to create a business and hence I now like to catch
entrepreneurs pretty early. I invest capital with them and mentor them, helping
them with my connections across the globe to enable them to build a great
business.
I think we’ve put forward around 30-35 investments in different fields to-date,
which all have a connection between AI and robotics and, frankly, that’s what we
do – We now invest globally.
CD MEDIA (CDM): Could you tell our readers a little bit about your portfolio of
companies at present and the diversity of your business investments…?
Rajat Khare: So let me divide it the way I see it – there is one set of companies
which dabble in MedTech and MedTech companies; and there’s one that builds
robotic wheelchairs, which can climb stairs (basically supporting the disabled
community), that is very unique; it has built-in AI, so it protects them from
accidents and other things.
Similarly, another model is robotic back-support provision-oriented, which uses
AI to help workers who are in ‘heavy industries’ – It supports their back and
prevents injury. And it’s also used as a sports rehab solution if somebody has a
back injury.
2. Another company creates equipment that can be used for spine surgery, and it
has an AI-driven app that helps medical practitioners who are performing the
surgery to have a more accurate way of fixing the screws. It ultimately improves
the success rate of the surgery.
Another set of companies utilize AI for predictive analytics. There’s Konux, which
is US headquartered. It helps in predictive analytics for railway maintenance; the
maintenance of railway switches and many other things which are critical for the
railways.
Another enterprise which does the same for oil and gas pipelines.
One company performs predictive analytics of border intrusion, providing a trap
camera with a special AI which can help the camera detect if there is a rogue
element crossing the border. And then there’s another set of companies that use
AI for drones.
We oversee companies in clean tech, recycling Multi-Layered Plastics. And the
specialty of this device is that it has a built-in AI system that separates Multi-
Layered Plastics from the rest of their trash, which is very unique. Then there’s
another company that specializes in water drones, which use AI and autonomous
controls to clean marinas, rivers, lakes automatically of plastic and other waste,
oil spills, and so on.
So, yeah – there are many companies!
CD MEDIA (CDM): So, what is a ‘Deep Tech’ investment firm, and do you think
this is a model that’s going to be on the rise in contemporary business?
Rajat Khare: Most of the VC-stage investments or family office investments have
been in the internet space, which did very well; Amazon is doing fantastically
well.
But suddenly you see that there are so many problems in the world, geo-
commercial, geopolitical problems, and technology turns out to be pretty much
the only solution in most cases, if not all.
Deep Tech innovation has to happen; it has to be funded, and it has to be
commercialized.
This Deep Tech model [which we spearhead] works very well for us. You have to
be a student of technology, always learning. Coming into this from the financial
space would not work.
CD MEDIA (CDM): Where is your business amid the Fourth Industrial Revolution
(4IR)?
3. Rajat Khare: So the Fourth Industrial Revolution (4IR), which is our main theme
and focus, is sparking a very important change that is happening in society.
Essentially, you see, today’s world offers a combination of robotics, AI, and
connectivity that never existed before. So breakthroughs of 4IR are going to
revolutionize, obviously, industries everywhere.
It’s not just going to be in one particular area but advance whole industrial
societies, and the change is happening as we speak.
Today in an Amazon warehouse, you would see drones working autonomously,
let’s say, moving stuff. The data behind their actions resides on a centralized
platform. You would have AI-based drones doing public safety maneuvers, for
example.
The Fourth Industrial Revolution is here and while the US and Europe are the
two main places where this change is happening, it’s also taking place in China.
The investments we oversee, born of 4IR, are global, and most of these
companies obviously appeal to a big customer base or aspire to have a big
customer base in China, Europe and the US.
CD MEDIA (CDM): What advice would you give tomorrow’s entrepreneurs who
are looking to establish themselves in AI or connect on strategies in Deep Tech?
Rajat Khare: Yes, I think there are multiple aspects to consider here. I think the
first, very important aspect, is to do business with AI, but do so ethically.
You don’t want to build AI technology which could be counterproductive to
society, whether it’s in the form of security threats, or it’s in the form of causing
unemployment, and so on. Your objective of AI should be to help society move
forward, so ethics are very important.
And the second critical thing is, while you spend a lot of time building AI tech, the
entrepreneurs in this space are very technology oriented. You should be this way
also, but you must take care of the commercial aspect, and the use cases of your
technology in the real world. So, if you are more practical, you will not become
just a tech lover, but you will have your product used in the market and get paid
for it. And that’s a very big thing, which is frankly, absent in 50% of AI
entrepreneurs I meet today. They’re very tech-focused, but they forget that they
have to build a business; it has to be commercial, and it should serve a
customer.
And then the third one is, while funding and raising money is very important in
the way businesses are built today, it’s also very important to raise money to the
extent you need it and use it very wisely. Because when you have too much of
something, many times these firms, instead of focusing on creating a business,
4. they create a luxury expenditure powerhouse company, which destroys the value
and the confidence of investors in the long run.