Rubix Data Sciences: Reinventing Risk Intelligence For Indias Dynamic Business Landscape

Winner: Best Compliance Solution India 2025

Winner: Best Global Supply Chain Strategy India 2025

As India’s digital economy continues its rapid evolution, the need for robust, real-time risk management solutions has never been greater. Rubix Data Sciences, a firm founded by a group of industry veterans in 2018, has emerged as a standout leader in this space, earning recognition for its compliance and supply chain innovations. With a client base spanning over 1,000 corporates, banks, and insurers, the company has built a reputation for transforming complex, fragmented data into actionable intelligence.

In this exclusive Leaders in Focus interview, Brett Hurll speaks with Mohan Ramaswamy, Co-Founder and CEO of Rubix Data Sciences, to discuss how the company’s proprietary platforms, predictive analytics, and deep industry insight are reshaping the way Indian businesses approach risk and compliance. From being India’s first Legal Entity Identifier validation agent to launching a new AI-driven B2B collections engine, Rubix sets new benchmarks in digital risk infrastructure.

Brett

So, first, congratulations on behalf of GFM Review in attaining, I’d like to start by asking: how do these awards validate Rubix Data Sciences’ distinctive approach to risk management and supply chain resilience?

Mohan

Thank you very much. It’s truly an honour to receive these recognitions, and they mean a great deal to us. As many of our listeners know, Rubix Data Sciences was co-founded by a team of four industry veterans who all bring extensive experience in building institutions that drive transparency and efficiency in the credit ecosystem, such as credit information companies, credit bureaus, and credit rating agencies. This background gave us a strong understanding of the challenges businesses face in managing credit risk.

When we set out in 2018, our goal was to marry that hard-earned industry expertise with cutting-edge technology. We understood that in today’s fast-paced world, static one-time reports are simply not enough. Instead, we envisioned a system that continuously monitors companies and supply chains, giving our clients dynamic, real-time insights. The awards we have been honoured with are a testament to the effectiveness of our tech-driven approach. They validate not only the accuracy and comprehensiveness of our risk assessments but also the way we deliver actionable intelligence—enabling our customers to make confident, informed decisions every single day. Our recognition in the market energises us to keep pushing forward, ensuring that every piece of data we capture transforms into clear, value-added insights for our clients.

Brett

Rubix Data Sciences utilises more than 120 structured and unstructured data sources in its ecosystem. Could you explain how this extensive data network underpins your risk assessment and compliance solutions, especially given the vast and diverse nature of India’s business landscape?

Mohan

Our data ecosystem is truly the backbone of what we do. In a country like India, where the credit-active universe encompasses roughly 60 million businesses, diversity is the norm. However, here’s the challenge: while these 60 million companies form a huge market, only about 4%—roughly 2.7 million—are public or private limited companies required to file detailed financial statements. The vast majority, over 95%, are proprietorships and partnerships that do not have a mandatory reporting requirement. This creates a significant data gap when traditional credit information is needed for decision-making.

To overcome this, we pull data from over 120 different sources. These include structured data such as statutory payments—MCA filings, GST returns, Provident Fund contributions, and ESIC remittances—as well as a wide range of unstructured data. The unstructured data encompasses legal case filings, regulatory compliance records, and even adverse media reports. Beyond these, we also harness sentiment data: employee sentiment scores derived from various online platforms and customer sentiment gathered from trade bodies and industry reviews.

All this diverse information is then funnelled into our predictive models. We use machine learning techniques to generate benchmark financials for businesses that lack traditional records. Our model doesn’t simply fill in missing numbers; it provides a comprehensive risk profile by evaluating everything from payment histories to qualitative signals like adverse news or employee dissatisfaction. This extensive data aggregation not only allows us to generate a detailed Rubix Risk Score but also supports the creation credit limits. In essence, our rich data environment ensures that our risk assessments are both comprehensive and predictive, giving our clients a holistic view of every counterparty they engage with.

Brett

Moving on to your proprietary platforms – specifically, the Rubix ARMS^TM and the Rubix Early Warning System (EWS). These tools seem to be central to your offerings. Could you describe how they work together to deliver actionable insights for managing credit, supplier, and compliance risks?

Mohan

Certainly, the Rubix ARMS^TM platform and Rubix EWS are integral parts of our full-suite solution, and they work in concert to cover the entire credit lifecycle—from onboarding through continuous monitoring. Let’s start at the very beginning. When a company is looking to onboard a new supplier or customer, the process begins with KYC—Know Your Customer checks. Our platform conducts these checks using our integrated digital KYC solutions, including E-KYC and video KYC. This ensures that the entity meets all basic compliance standards right from the start.

Once an entity passes the initial KYC, we then move on to the risk assessment phase. Rubix ARMS^TM comes into play here. This platform is designed to deliver a detailed health check of the entity. Our scoring models, built on data from over 120 sources and refined with inputs from 260 sector-specific benchmarks, generate a dynamic risk profile for each entity. This profile doesn’t stop at a static number; it includes a range of predictive indicators such as estimated revenue ranges, credit limits, and various financial ratios.

But as you know, the business environment is fluid. A company’s risk profile can change quickly. This is where our Rubix EWS is crucial. Integrated directly with Rubix ARMS^TM and powered by advanced cloud services, it continuously monitors key indicators. For example, if an entity starts missing statutory payments or if there are negative shifts in employee sentiment, or adverse media reports, the system flags these changes immediately. This continuous monitoring means that if a company’s risk profile improves, our clients can safely expand their business with them. Conversely, if the risk profile deteriorates, clients receive timely alerts to take remedial action.

This integration creates an end-to-end solution that covers every step of the decision-making process. Clients have a single dashboard where they can see the initial KYC results, the comprehensive Rubix Risk Score from Rubix ARMS^TM, and the real-time updates from Rubix EWS. This not only enhances transparency but also empowers decision-makers to act quickly—ensuring that credit, supplier, and compliance risks are managed proactively rather than reactively.

Brett

Often, businesses perform a one-time credit check and then assume everything remains steady. What kind of impact does this ongoing vigilance have on your clients’ operations, especially when it comes to managing evolving risks?

Mohan

Ongoing vigilance is absolutely crucial. Many businesses make the mistake of assuming that a credit check at the time of onboarding is sufficient. However, conditions change—markets fluctuate, business practices evolve, and external events can quickly alter an entity’s financial health. Our continuous monitoring approach ensures that clients are not caught off guard. For instance, if a company that was previously stable suddenly experiences cash flow issues or begins defaulting on key payments, our system flags these changes immediately.

This real-time insight enables our clients to mitigate risks effectively. They can reduce their exposure to high-risk entities, re-negotiate terms, or even cease business relationships before any significant losses occur. In addition, this continuous monitoring builds long-term trust and reliability. When clients see that we’re constantly updating our data and providing accurate, timely alerts, they gain confidence not only in the data but also in the decisions they make based on that data. In this way, our platform acts as a safeguard, ensuring that all business relationships remain robust and that any potential risk is identified and addressed in its early stages.

Brett

Your predictive analytics capabilities, such as SME income range estimation and financial ratio benchmarking, have received industry recognition. Can you elaborate on how these innovations have enhanced the decision-making process for your clients?

Mohan

One of the most significant challenges in the Indian market is the lack of detailed financial data for the vast majority of credit-active companies, which are small businesses. With more than 95% of these companies not required to file comprehensive financial statements, it becomes extremely challenging for corporates and banks to accurately assess the risk in extending credit to them. This is where our predictive analytics engine becomes indispensable.

We’ve developed models that not only estimate key financial metrics but also simulate what a company’s financial statements might look like if they were filed. By back-testing these models against live data, we ensure that our estimates—ranging from revenue figures to financial ratios such as leverage, solvency, and liquidity—are both reliable and timely. Our analytics provide our clients with a reasonably accurate snapshot of an entity’s financial health, even in the absence of official filings. Typically, the accuracy of these estimates ranges between 70% and 80%, which in practical terms is very useful for making informed decisions.

For example, when a corporate is considering extending credit or entering a new business relationship, it needs to have a clear picture of the counterparty’s financial stability. Our system aggregates various data points and, using advanced machine learning algorithms, depicts the change in key financial indicators. This process allows our clients to gauge the creditworthiness of a company and set appropriate credit limits or terms of engagement. In effect, our predictive analytics serve as a financial weather forecast—enabling clients to anticipate potential storms and plan their strategies accordingly. The enhanced decision-making capabilities lead to reduced risk exposure and better overall portfolio management for our clients.

Brett

With over 1,000 clients across banking, insurance, and corporate sectors, what do you think are the key factors that have built and sustained trust in Rubix Data Sciences’ solutions?

Mohan

Trust is built on several foundational elements: data integrity, transparency, reliability, and demonstrable outcomes. For corporates, our comprehensive intelligence on counterparties helps them make better-informed decisions about extending credit or establishing partnerships. For banks and financial institutions, the rigor of our scoring models, the breadth and depth of our data sources, and the real-time nature of our reports are essential.

Our solution is not merely a static report but a dynamic, continuously updated risk assessment tool. The fact that we add between 15 and 25 new clients each month and assess an ever-growing number of counterparties is proof of the value our clients see in our offerings. Many of these clients undergo rigorous internal approval processes before partnering with us, and once they do, the ongoing reliability of our data and the actionable insights provided by our platform lead to long-term relationships.

Furthermore, our holistic approach—which integrates compliance, KYC, risk assessment, and even predictive analytics—creates a seamless experience that instills confidence. When clients know that every aspect of their risk management process is underpinned by robust technology and rigorous data analysis, they can focus on growing their business rather than worrying about unforeseen risks. This all-around reliability is why we continue to build trust across such diverse industries.

Brett

Rubix Data Sciences is India’s first validation agent for the Legal Entity Identifier, or LEI. How has being the first in this space affected your credibility and expanded your service portfolio?

Mohan

Being designated as India’s first LEI validation agent has been a game-changer for us. The LEI is a critical component in global finance—it serves as a unique identifier for legal entities involved in financial transactions and has become essential for ensuring transparency and accountability in the market. Our accreditation by the Global Legal Entity Identifier Foundation and Legal Entity Identifier  India Limited (LEIL) is a strong endorsement of our capabilities and the trust that regulators and financial institutions place in us.

Becoming a validation agent for the LEI reinforces our credibility in several ways. Firstly, it showcases our digital diligence and robust validation mechanisms, which are key to verifying the authenticity of data across multiple sources. Secondly, as the Reserve Bank of India (RBI) moves toward mandating LEIs for fund-based and non-fund-based transactions above certain thresholds, our role as the primary validation agent becomes even more significant. It ensures that our clients and their counterparties are compliant with these regulatory requirements, which further reduces risk and builds trust in our overall ecosystem.

Moreover, this LEI validation capability seamlessly integrates with our other services, such as our comprehensive KYC processes and continuous risk monitoring. It enriches our data ecosystem by adding another layer of verified, high-quality information. Ultimately, this not only boosts our service portfolio but also cements our position as a leader in global compliance and risk management.

Brett

I’d like to talk about your fraud and identity solutions, particularly E-KYC and video KYC. In today’s digital-first world, these tools are critical for customer and supplier onboarding. How do these offerings complement your core risk assessment tools to create a secure, streamlined onboarding process?

Mohan

The onboarding process is absolutely critical, and our goal is to make it as seamless and secure as possible. Before any credit or risk assessment can even take place, a business must complete thorough KYC checks to ensure that the entities involved are genuine and compliant. Our E-KYC and video KYC solutions are fully integrated into our platform, meaning that clients can complete these checks digitally without cumbersome manual processes.

This integration is a key differentiator. When our clients onboard a new customer or supplier, they can use our digital KYC tools to quickly verify identity and compliance. Once that’s done, the Rubix ARMS^TM system immediately takes over to conduct a full risk assessment. This creates a unified, end-to-end solution that not only speeds up the onboarding process but also significantly reduces the risk of fraud. By having all components—from identity verification to continuous monitoring—under one digital roof, our clients benefit from a smoother, more reliable process that minimizes both risk and administrative overhead.

In a world where security breaches and identity fraud are all too common, having robust KYC processes integrated with dynamic risk assessment tools is vital. Our solutions ensure that every entity entering the client’s ecosystem has been thoroughly vetted and continuously monitored, thereby maintaining high levels of security and compliance throughout the business relationship.

Brett

Can you provide an example of how predictive analytics and visualisation technologies have significantly improved risk mitigation for your clients?

Mohan

Certainly. Let’s consider a scenario in the crop protection industry—a sector where many of our clients operate with vast dealer networks. One of our clients in this space manages over 10,000 dealers. It would be practically impossible for senior management to manually review each dealer’s credit report and compliance status. Our platform segments these dealers into risk categories: low, moderate, and high risk, based on both external factors and internal transaction histories.

For instance, if a subset of dealers begins showing signs of financial stress—such as delays in statutory payments or negative sentiment scores—the system flags them as high risk. This enables the client’s management team to quickly focus on these dealers, investigate further, and, if necessary, take corrective action. The visualisation tools present the entire portfolio in an intuitive dashboard, making it easy to spot trends, identify outliers, and understand the overall risk distribution.

In one particular case, a client was able to reassign resources and adjust their credit exposure based on the insights provided by our platform. Instead of relying on a static snapshot from an annual review, they had access to real-time data that allowed them to manage risk more proactively. This not only improved their operational efficiency but also contributed to a notable reduction in bad debt and improved cash flow. It’s a clear demonstration of how predictive analytics and visualization can transform raw data into actionable insights that drive smarter, data-driven decision-making.

Brett

Looking to the future, what new initiatives or enhancements is Rubix Data Sciences planning to introduce to further drive digital transformation and solidify its leadership in compliance, risk management, and supply chain strategy?

Mohan

We are always looking ahead, and one of our most exciting initiatives is in the area of B2B collections. Many of our clients have expressed that while our risk assessment tools are invaluable, they’d also like assistance with collecting outstanding payments. Given our detailed insights into a counterparty’s payment behaviour and overall risk profile, it seemed like a natural extension of our offerings to develop a data-driven, intelligent debt collection engine.

We are currently working on an AI-driven B2B collections solution that will integrate seamlessly with Rubix ARMS^TM, our KYC systems, and our continuous monitoring platform. This new module is designed not simply to chase debts but to use predictive analytics to understand payment behaviours and the likelihood of recovery. For example, by analysing historical payment patterns alongside current risk indicators, our system will be able to predict which overdue payments are likely to be collected with gentle reminders and which might require more proactive intervention. The goal is to minimize friction and help our clients recover their dues more effectively without damaging business relationships.

Beyond collections, we’re also investing heavily in enhancing our predictive models and integrating even more data sources. This includes exploring additional unstructured data inputs such as social media signals, real-time news feeds, and industry-specific market indicators. Each new data point adds another layer of precision to our models, ensuring that our Rubix Risk Score and predictive analytics remain at the cutting edge of what technology can offer.

Brett

It’s clear that you’re building an end-to-end ecosystem that covers every stage of the credit lifecycle—from initial onboarding and risk assessment to proactive debt collection and ongoing monitoring.

Mohan

Agility is at the core of our operations. In today’s fast-changing environment, staying agile means constantly listening to our clients and adapting our technology accordingly. We have instituted a rigorous feedback loop where our clients can share their experiences, suggest improvements, and highlight any gaps in our services. This direct feedback drives our iterative development process and ensures that every update to our platform is aligned with market needs.

Our technology team is committed to continuous improvement. They back-test our predictive models against live data and adjust the algorithms regularly to maintain an accuracy rate in the 70–80% range. Additionally, we are always on the lookout for new data sources that can enrich our models further—whether that’s by integrating more granular financial data, leveraging new machine learning techniques, or even incorporating industry-specific signals.

This commitment to constant evolution ensures that our platform is not only robust today but is also built for the future. As market conditions change or new regulatory requirements emerge, we’re prepared to pivot quickly. Our agile development process, combined with our deep industry expertise, allows us to roll out new features rapidly while maintaining the integrity and reliability that our clients have come to expect.

Brett

It’s inspiring to see such a holistic, data-driven approach that not only mitigates risk but also drives growth and operational efficiency for your clients. Once again, congratulations on the award.

Brett Hurll, Executive Editor at Global Financial Market Review, draws on over 35 years of international experience across technology and finance sectors, providing readers with sharp analysis and unique perspectives on emerging trends, market shifts, and the complex interplay between global business and political dynamics. His extensive background and senior leadership role position him as a trusted voice on financial markets and economic developments. If you have an interesting editorial reach out to our team at editoral@gfmreview.com