InterviewsInterview with Chaitanya Bulusu: Founder (Stealth Start-up)

Chaitanya Bulusu is a leading strategic thinker and engineering professional with more than 13 years of hands-on experience in team leadership, technical management, Solution architecture, and system design for advanced instrumentation, Industry4.0 Solutions to various Industrial Verticals, and robotic systems. He is an ardent analyst, Influencer and a people leader with a flair for adapting quickly to dynamic business environments and adopting a pragmatic approach in improvising on service solutions and resolving complex customer issues...
Sarah Olray2 months ago141714 min
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Chaitanya Bulusu is a leading strategic thinker and engineering professional with more than 13 years of hands-on experience in team leadership, technical management, Solution architecture, and system design for advanced instrumentation, Industry4.0 Solutions to various Industrial Verticals, and robotic systems. He is an ardent analyst, Influencer and a people leader with a flair for adapting quickly to dynamic business environments and adopting a pragmatic approach in improvising on service solutions and resolving complex customer issues across Pharma (Life Sciences), E-Commerce, Supply chain, F&B, MHE, Automobile and Packaging sectors. He has spent 13 years in the Industrial Automation sector with Omron Automation, Schneider Electric, and Rockwell Automation in a variety of technical and leadership roles, advancing robotics, Industrial automation, and IIoT engineering. He holds an MBA from XLRI and Bachelor’s in Engineering in Electrical Engineering from Kurukshetra University.

Chaitanya Bulusu is also a Keynote Speaker in various conferences on Industry 4.0 / IIoT Applications, a recent one in Ahmadabad University on Global Executive MBA degree in Pharmaceutical Management.

Before founding the current start-up(still in stealth mode), he was helping customers build resilient, scalable, secure, and cost-effective applications and create innovative and data-driven business models. He advises on how emerging technologies in artificial intelligence, machine learning, and IoT / IIOT spaces can help create new products, make existing processes more efficient, provide overall business insights, and leverage new engagement channels and revenue streams for consumers.

This also includes enabling Smarter machines and digital transformations. He also actively helps customers build platforms that align IT and OT infrastructure and service spending with revenue models, effectively reducing waste and disrupting the product development process, process optimization that had been executed in the decades prior to that.

Thank you so much for joining us! Can you tell us a story about what brought you to start your business?

The 13 years, spent across manufacturing verticals like automotive, pharmaceutical, F&B, present an overarching progression from learning basics of channel, system integrator, account management to strategically driving the end-to-end sales cycle to building successful teams to exploring untapped market potential in the field of Industrial Automation. It also encompasses imbibing technical nuances continuously- IIoT, analytics and Industry 4.0.

At this stage of my career, I strongly felt that there is a pressing need of making sense of data. Businesses are prioritizing IoT investments and want to be in sync by integrating different layers in the chain.


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It has been interesting to watch the field develop, and this is a very exciting time to be working in the Industry 4.0 field, especially predictive analytics. New approaches to visualization are making these powerful capabilities directly accessible to the decision making unit, supporting real time decisions. That’s when the idea of the business kick started when I noticed that there’s a huge amount of data that is getting piled up and is getting unnoticed. So when trendsetters like Facebook, Google, Netflix, and Political parties are using this to combating risk, boosting sales, fortifying healthcare, optimizing social networks, toughening crime fighting, and winning elections, then why not to use the same prowess at industrial level to predict, optimize and increase transparency by making reliable information available to all stakeholders.

What are the challenges and struggles you have faced before starting your business?

Although, the current market size is close to $6 billion, there is huge gap between the market maturity and market wishlist. Besides, current struggle of COVID-19 has further curtailed the funds that are to be invested in this field. So of-course as the market is niche, struggle would begin now, and there will be a lot of learning during the course.

Having said so, this is also the correct time for startups like us to be more responsible and to work towards  positive impact on social welfare.

What advice would you have for other new entrepreneurs?

There is nothing called as new entrepreneurs.

If someone is starting a new company in predictive analytic space, there are many opportunities. However, there are many players so a lot of homework must be done to define your point of differentiation.

Besides,innovation is rapidly becoming democratized. Users, added by improvements in computer and communication technology, increasing can develop their own new products and services. These Innovating users – both individuals and firms – often freely share their innovations with others, creating user-innovating communities and a rich intellectual commons. This is the new trend, and way forward is having these kind of collaborations and being part of these kind of communities.

How are predictive analytics and machine learning related?

The two are largely synonymous. In academics and theory, it is referred to as  “machine learning” although that is a slightly broader area, and when deployed commercially, it is “predictive analytics.”

This is smart, seeing that the device must learn with a view to predict. It learns from data how to consider the factors (variables) known about an individual in order to predicatively score that system. The mechanism that considers multiple parts to derive a rating,  e.g., a decision tree or neural network, is called a predictive model; the process of creating the model from data – modeling – is the learning process, and the model is what’s been learned.

How much potential market share can you achieve in the next 3 years? 

The tool that we have developed (applied for Patent) for manufacturing, logistics and transportation industry is targeted at a business of $4 Million in next 3 years. This is probably nothing when compared to the potential market of $ 3.1 billion. But this product would need its own time to evolve with market as the market is B2B. So probably, the idea would be to scale and reach to many customers and learn the nuances on its own.

Do you believe India will be Industry 4.0 ready especially the Pharmaceutical Industry as you are also a IIoT consultant to many Pharmaceutical Manufacturing Organizations ?

Given the buzz , and the need for Indian companies to be integrated into global sourcing platforms ,the Indian industry is going to feel the pressure of having to take steps towards Industry 4.0 Implementations.

There could be pain , largely from not being able to road-map a vision and allocating resources for the mid to long term. Short term thinking or execution may prove challenging for the entire value chain of consumers and vendors.

Companies that have long term visioning ,and partner correctly, will be able to navigate the evolving requirements – and ensure success in the journey.

How do you manage your time for life and business?

I am a Rotarian who spends time in serving the community around me  if not doing the business. During the unprecedented times of lockdown and COVID-19 , providing humanitarian assistance to those most in need – there could be no higher purpose, and that is something that keeps me busy while I am not doing business. In fact we have  also developed a prototype of  predictive tool that would help us , as a global society , take major leaps forward in addressing this crisis.

What are your future plans? 

Currently,working on the launching of the industry focused predictive analytic solution. We are looking at potential partnerships also in coming future who would like to grow with us.

We are also in the process of developing a tool with deep learning for manufacturing, logistics and transportation vertical and it is absolutely amazing to mark progress in that by how the specific capabilities, sources, and analytic craft have developed since the first MVP rollout.

Are you looking out for investors?

We are a young team with mixed profiles and open personalities. We have the Industrial Automation, Process and IT experience and knowledge. With our feet firmly on the ground ,and a clear path to achieve our goals we would love to be a part of support network who would also nurture us further. As we are at the early stage, we would love to have investors on board.

How people should contact you?  

As we are still at the stealth Startup mode, I prefer giving my Linkedin Profile.




Sarah Olray

I am writing and a journalist based in Singapore. My passion is journalism and PR coverages for small and medium-sized businesses around the world. Since the start of my career, I have been in Content Marketing and have proven record by featuring businesses, products and technology on various news outlets like Forbes.com, entrepreneur.com, vizaca.com, inc.com, businessinsider.com and thriveglobal.com

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