The traditional lending model is undergoing a massive shift. Historically, banks and Microfinance Institutions relied on collateral and formal credit histories, assets that many potential borrowers simply do not have. Today, the rise of digital platforms has created a treasure trove of behavioural data.

Rubyx sits at the heart of this revolution as a B2B2B/C fintech engine. We provide the critical link that allows financial institutions to tap into new customer bases by leveraging the data generated on digital channels to power sustainable, risk-based lending.

The Three Pillars of Embedded Lending

Embedded lending is a collaborative ecosystem where each player brings a unique strength to the table:

• Digital Channels (The Data Goldmine): These platforms possess deep insights into the daily financial habits of their users, from transaction frequency to payment consistency.
• Financial Institutions (The Lending Muscle): Banks and MFIs provide the capital and regulatory framework necessary to scale loan portfolios.
• Rubyx (The Intelligence Engine): We sit in the middle, transforming raw platform data into precise credit decisions and tailored loan offers.

Where the data comes from: Diverse Digital Channels

Financial institutions can now extend credit to customers active on a wide variety of platforms. These digital channels provide the behavioural breadcrumbs that Rubyx uses to assess creditworthiness:

• Payment wallets: Data on regular spending, merchant payments and account balances.
• Mobile money platforms: Transaction volumes and frequency that indicate cash flow stability.
• Ride-hailing apps: Insights into driver earnings, trip consistency and rating-based reliability.
• Utility apps: Consistent payment history for essential services like electricity, wifi and water.
• E-commerce & marketplace apps: Sales data and inventory turnover for small-scale merchants.
• Delivery & logistics platforms: High-frequency transaction data from couriers and fleet operators.

How the Rubyx engine works: From Data to Credit Decisions

Rubyx doesn’t just pass information along, it processes it through a sophisticated, automated pipeline designed to minimise risk while maximising credit access.

1. Data ingestion and behavioural analytics

The process begins when a digital channel shares customer transaction history with Rubyx. Rather than looking at static balances, we use behavioural analytics to segment the portfolio. This includes analysing how often a supplier stocks their shelves or how a retail customer manages their digital wallet.

2. Advanced credit scoring

Using trained financial models, Rubyx analyses this behaviour to generate a real-time credit score. These models are built to look for patterns that traditional credit bureaus might miss, such as the stability of a merchant’s weekly product volume or their historical repayment behaviour.

3. Risk categorisation

Once a score is generated, customers are categorised into specific risk bands (e.g., Class A, B, C or D with class A being the lowest risk and D being the highest risk). This automated categorisation allows financial institutions to understand exactly who they are lending to and at what level of risk. Rubyx scores customers daily to ensure that risk assessment is always up-to-date.

4. Tailored loan offer generation

The final step is the generation of personalised loan offers. Rubyx applies specific business rules and filters to determine the eligibility of a customer. This results in the customer being presented with an offer that matches their specific repayment capacity.

Empowering New Customer Bases with Diverse Products

By using Rubyx, financial institutions can move beyond traditional personal loans and launch specialised products tailored to the digital economy:

• Nano Loans: Small-amount, short-term products designed for first-time or lower-credit customers to help them build a credit footprint.
• Buy Now, Pay Later (BNPL): Allowing consumers to access goods immediately while the financial institution manages the credit risk through the Rubyx engine.
• Stock Now, Pay Later (SNPL): A game-changer for suppliers and merchants, allowing them to replenish inventory based on their proven sales volumes and transaction history.

A More Sustainable Future

This data-driven approach is inherently more sustainable. It allows financial institutions to achieve operational efficiency and profitability by lowering processing costs and maintaining incredibly low default rates, currently less than 1.4% across the Rubyx ecosystem.

By turning digital behaviour into financial opportunity, Rubyx is helping banks and platforms build a more inclusive financial future for millions.