“There is a serious need in the industry that demands the workforce to understand data,” says Vasudevan Swaminathan, Founder and President, Zuci Systems

In this free-ranging conversation with CXOtoday, Mr. Vasudevan Swaminathan, Founder and President, of an upcoming and promising tech player, Zuci Systems, talks about the ceaseless potential of data analytics and AI, how tech in BFSI and healthcare will be a gamechanger, and their value-driven approach that has helped them gain tremendous momentum and earn their client’s trust. Zuci Systems looks at a radiant future of their organisational growth and aims to grow as one of the key trusted technology partners.


1)Tell us about Zuci Systems. What is your value proposition, and how are you distinct from your competition?

About Zuci –

Established in the year 2016, Zuci (pr.shu-chi) Systems is a new-age digital transformation enabler making a distinct difference to clients based on its engineering capabilities spanning across Digital engineering, Quality engineering , Data and Advanced Analytics. The Chennai-based company has global presence in North America and Europe with over 300 Zengineers delivering exceptional user experiences every day. The company has niche focus on BFSI and Healthcare verticals and also works with product companies to co-develop customer-centric products leveraging Zuci’s extensive expertise in technology and engineering methodologies. For more information, visit

Value Prop –

“Whatever you do, do it with perfection” – is the guiding principle behind everything we do at Zuci Systems.

50% of our clientele choose us as their technology partner upon recommendation, an indication of our customer’s trust in our expertise.

We help companies set up a technology roadmap from the ground up, and work collaboratively to optimise existing processes and deliver effective technology solutions.


Zuci Systems is a services company with a product company’s heart. The core values that drive different functions of the organization are based on a great product company would have. We believe in a flat organization that embodies principles of meritocracy. We approach our challenges with a mentality of a product start-up that’s bootstrapped, so that everyone in the organizations internalize the fact that we live in a world of constraints.


2) Tell us how your business is helping the nation’s IoT, AI, Big Data Analytics, robotics and cloud computing industries as well as how it benefits its customers.

Zuci’s focus right now is firmly placed on Bigdata analytics and AI followed by cloud computing. Being in services vertical greatly helped Zuci understand its customer’s challenges and draw inferences based on first principles approach to their problem. With such a premise, we have tried to articulate the challenges as follows,

  1. Pixel paradigm

Organisations today have 80% of all their data in pixel-based assets and in today’s scheme of things, its crucial for them to gain access to as much as data possible and Zuci is working towards helping her customers acquire data from such assets at scale. At Zuci, we characterize this as a ‘Pixel to excel’ journey and we envision a future where a solution should help its customers to unlock data trapped in pixel-based assets like pdf and png and make the extracted data easily accessible for consumption like for e.g. an excel file. Zuci has already invested significant amount of energy in developing state of the deep learning solutions that could address problems like handwritten data recognition, key value pair data extraction, table data extraction, image extraction. Zuci believes that there is a huge possibility to increase the value for its customers by offering solutions for the challenges that characterize this paradigm.

  1. Process paradigm

90% of Zuci’s customers today whom we help through their digital transformation journey have reached a certain level of maturity. However, they are massively held back by their inability to put data to better use, which is captured through their painstakingly crafted process automation. Deploying AI based solutions that would help them optimize or forecast factors that would contribute to cost or profit is a well-documented nightmare. Zuci’s goal is to find ways to help her customers really realize the ‘data is new oil’ adage, but put MLOps practices to better use.

  1. Presentation paradigm

Almost all of Zuci’s enterprise customers today do not have a one stop shop like a Data Lake where their pixel and process data co-exist. Zuci is exploring ways by which it brings about a state of union across all forms of data, including file like assets; that way building actionable insights across all of such data becomes a possibility. Once such a universal datastore is made available, then using BI tools to build dashboards and reports could potentially force multiply the clarity of context for the stakeholders.

Benefits for Customers:

We have been working with some of the niche players in the healthcare industry in creating and setting up a modern data architecture which is the foundation for the business to improve the funding decisions by creating data and analytical systems that are accessible, fair and integrated.
Improved analytical capabilities enabled the enterprise to provide insights of the funding programs to the stakeholders and participants. Data democratization and analytics gives business users access to the data they need to do their jobs better and achieve the organization mission.

We also help healthcare service providers develop robust data infrastructure that can integrate all kinds of data that supports the organization needs. Improve patients care and healthcare providers experience through personalized patient care solution and maximize the efficiency through enterprise reporting and dashboards.


3) Would you also like to elaborate on the application of big data analytics, ML, AI, and IoT? How has it developed so far?

Zuci is working on building a state-of-the-art AI based SaaS offering that can be used by her customers, either as a cloud deployment or as a captive deployment to address the 3 paradigmatic challenges narrated as the answer to the previous question. To quote a few use cases that Zuci has already successfully started helping her customers through this initiative are as follows,

  1. A large South Indian bank who wanted to bring control and command over their Unit economics KPI has successfully deployed Process intelligence solution module from Zuci. They have been able to acquire 20% additional revenue by offering more loans to their existing customer by identifying the prospective ones using the solution.
  2. An upcoming east coast U.S healthcare start-up is successfully conducting trials using Pixel intelligence solution module from Zuci to extract data from paper forms that have patient, prescriber and drug-related data.


4) Please give your thoughts on the Big Data Analytics industry’s present state and potential future.

The global big data analytics market size was valued at $240 Billion in 2021 and it is projected to grow to $650 Billion by 2029. The real disruption in the market is when big data analytics analyses the different forms of data to understand and develop real time insights by developing analytical platforms that suit the specific industry. We at Zuci Systems are building data analytics products that solves the pixel, process and presentation paradigm challenges by standing up an analytical platform with an underlying presentation data lake that can potentially look at an organization data in its entirety and generate insights that fuels business growth and maximize efficiency.


5) Where do you anticipate the sector’s growth to come from?

Industries such as Banking & Securities, Insurance, Real Estate and Healthcare are going to benefit, the driver is AI. Organizations who do not participate in the evolution are sure to be left behind in the transformation journey. Hence, it is important for the organizations to make a concerted effort in appreciating the value data and analytics can offer to them.


6) Can you shed any light on the most recent changes in the big data and analytics workforce?

I am sure, we all agree on how analytics played an important role during the Corona outbreak. As a community, we had seen how data analytics served as a crucial tool even with the basic line graphs, bar charts, and heat maps in understanding virus spread. There were models trained and built in predicting deaths associated with COVID-19. Many people have shown the interest in seeing the data in consumable format, understanding the facts in a fast-changing environment thereby driving home the need for improved data analytics.As organizations plan for the “new normal,” there is a need to examine current workforce, production, and services strategies to become more agile as change will be a given. Adaptability will be a must.

There is a serious need in the industry that demands the workforce to understand data. At Zuci Systems, we believe that building a data culture within the organization is the need of the hour and enable inclusive knowledge and learning across different departments and business units. For example, the propensity with which a performance test engineer approaches a problem runs short of organization’s expectations. Such inherent data traits are expected out of the workforce to create a change in perspective, start thinking about data and add value to our customers by developing insights that helps in improving the product quality and efficiency. The end goal will be to embed data analytics in the overall product/application development for our customers.

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