Customer Stories / Financial Services

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Fibe Accelerates Business Growth and Transforms Digital Lending on AWS

By leveraging AWS, Fibe revolutionized platform security and automation, leading to faster and highly secure operations, cost efficiencies, and driving significant growth.


Boosts loan application processing by 95%


of data stored and processed in a data lake

Enhanced security

Prevent fraudulent loan applications in real-time

Innovative Solutions

Prevent fraudulent loan applications in real-time


Fibe, one of India’s leading consumer lending apps, aimed to optimize its digital lending platform for the growing market while maintaining cost-efficiency. To achieve this, Fibe adopted a serverless approach using AWS Lambda and leveraged automation through Amazon Textract, Amazon Comprehend, and Amazon Neptune.

Using Amazon Web Services (AWS), Fibe streamlines its loan application processing, resulting in faster and more secure operations. Furthermore, the company effectively managed costs without compromising its profitability, aligning with its expansion plans.


Opportunity | Streamlining Financial Services with Cutting Edge Technology

Non-banking financial companies (NBFCs) are integral components of India’s financial system. As of October 2022, over 9,500 NBFCs were registered with the Reserve Bank of India, with a cumulative asset size of INR 42.05 lakh crores (approximately $508 billion). Fibe, previously known as EarlySalary, is a financial technology company that offers instant personal loans and salary advances through its digital platform. Its innovative technology quickly assesses creditworthiness, notifying applicants within 1 minute about the status of their loan application. If approved, the loan amount is swiftly transferred to their bank account, providing convenient and accessible credit options for short-term financial needs.

Since its launch in 2015, Fibe has expanded its product line to include long-term loans with tenures of up to 36 months. Additionally, the company has ventured into buy now, pay later services for the education and healthcare sectors. Customers now have the option to pay for medical treatments or school fees in equated monthly installments (EMIs).

With more young professionals entering the job market and India’s middle-class population projected to reach 583 million by 2025, significant growth opportunities were evident. Recognizing this, Fibe sought to deeply integrate machine learning (ML) into its platform to offer faster and more convenient services to its customers. However, the company wanted to ensure that these advancements did not lead to increased administrative overhead. Anil Sinha, chief technology officer at Fibe, says, "We operate on a principle of balance—enhancing services while keeping costs in check.”


As our business expands with AWS, we're spending less on IT, which directly enhances our profitability.”

Anil Sinha
Chief Technology Officer at Fibe

Solution | Enhancing Security and Automation with Serverless and ML

Fibe was born on AWS. Sinha says, “AWS has been incredibly supportive from the start, offering extensive training and providing assistance. Leveraging AWS Support saves us valuable time and ensures we can quickly resolve any issues without wasting effort on problem-solving.”

Since the launch of the Fibe app, Fibe’s IT team has been using AWS Lambda to streamline development and maintenance processes. AWS Lambda's serverless functions automatically handle code execution requests, simplifying processes like scaling instances to meet higher computational demands. “We realized that serverless technology was the best solution to minimize management overhead for our critical infrastructure,” says Sinha. 

To enhance the loan application process, Fibe incorporated ML into its app while maintaining a simplified management approach. To achieve this, the company implemented Amazon Textract, a service that utilizes optical character recognition (OCR) technology to extract text and data from Know Your Customer (KYC) documents. “Amazon Textract helped us automate things like face matching, without the need to handle infrastructure management,” says Sinha. Additionally, Fibe uses Amazon Comprehend, a natural language processing service, to extract relevant information from income statements and other application documents, reducing administrative complexity.

After implementing these solutions, Fibe turned its attention to enhancing platform security and detecting fraudulent activity during the application process. The company worked closely with its local AWS team and deployed Amazon GuardDuty, which utilizes anomaly detection to quickly identify threats. Additionally, Fibe started utilizing AWS Config to continuously evaluate the compliance of its AWS resources.

Next, Fibe began leveraging Amazon Neptune to detect and prevent fraudulent loan applications, allowing them to create fraud graphs without incurring infrastructure costs. The solution utilizes data from a data lake on Amazon Simple Storage Service (Amazon S3) and is based on relationships between different entities, including loan details, financial transactions, device fingerprint, IP address, and other relevant data points. This interconnected network helps Fibe to explore and identify fraudulent activities. Sinha affirms, "The deployment process was seamless, and we successfully built our data lake infrastructure on AWS within a span of just two weeks."

Outcome | Driving Business Growth and Continued Development with AWS

With AWS support, Fibe aims to grow its business size. Notably, this growth is anticipated without incurring additional costs. Sinha says, "As our business expands with AWS, we're spending less on IT, which directly enhances our profitability."

Furthermore, Fibe reallocates the time saved from IT management towards maximizing the potential of AWS services and innovating new products. One ongoing project involves enhancing an existing customer service chatbot by leveraging AI. Sinha shares, "Our goal is to utilize AI more effectively in order to enhance the chatbot's capabilities."

Despite being established for eight years, Fibe maintains its startup mindset, which Sinha attributes to the company’s engagement with AWS: "We continue to rely on AWS for innovative solutions. Our relationship with AWS keeps our entrepreneurial spirit alive."

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About Fibe

Fibe, formerly known as EarlySalary, is a consumer lending app in India that has gained recognition for its swift and accessible digital financial solutions. By combining advanced credit scoring systems with social and online scoring technology,Fibe streamlines the lending process, redefining the loan application experience for India's tech-savvy, aspirational mid-income group.

AWS Services Used

AWS Lambda

AWS Lambda is a serverless, event-driven compute service that lets you run code without provisioning or managing servers.

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Amazon Textract

Amazon Textract is a machine learning (ML) service that automatically extracts text, handwriting, and data from scanned documents. It goes beyond simple optical character recognition (OCR) to identify, understand, and extract data from forms and tables.

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Amazon Comprehend

Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights and relationships in text. No machine learning experience required.

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Amazon Neptune

Amazon Neptune is a fast, reliable, fully managed graph database service that makes it easy to build and run applications that work with highly connected datasets.

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