The company stated that for decades, India’s credit system has operated as a one-way assessment mechanism, assigning scores without offering clarity on improvement. Consumers with scores such as 580 have often faced loan rejections without receiving actionable insights on corrective measures, relying instead on generic advice or informal guidance.
BASIC is positioned as a shift from this traditional model. The system analyses individual credit reports and generates tailored improvement strategies that identify specific actions, expected score impact, and prioritised steps. According to GoCredit, the system is the first of its kind in India to treat credit score improvement as a machine learning problem under a new framework termed Behavioural Credit Analytics.
The platform addresses what the company describes as a large underserved segment of India’s financial population, estimated at over 300 million credit-active consumers, many of whom fall in the near-prime category where minor score changes significantly impact loan eligibility and interest rates.
Anupam Acharya, Co-founder and Chief Executive Officer of GoCredit, said, “Credit scores answer where you stand today, but they were never designed to explain how to move forward. Until BASIC, borrowers were not given personalised pathways to improve their financial standing.”
The BASIC engine has been trained on credit histories of more than one million Indian borrowers over a four-year period. The company claims it can predict next-month credit scores with an average error margin of 16 points on a 900-point scale, significantly outperforming conventional deep-learning models.
Pranav Murali, Co-founder and Lead AI Engineer, stated, “Credit behaviour is not static. The system evaluates both current attributes and their rate of change, reflecting how bureau systems actually respond to financial behaviour over time.”
GoCredit further revealed that BASIC is already operational on its Android application through the Credit Score Boost feature, currently used by more than 200,000 users. Among 50,000 monthly active paying subscribers, approximately 10,000 users have reportedly improved their credit scores by 50 points or more within a two-month period after following system-generated recommendations.
The company highlighted that such improvements can materially alter borrowing outcomes, shifting users from loan rejection to approval and significantly reducing interest costs in some cases.
In addition, TARA AI Labs has introduced the ScoreBoost Application Programming Interface for financial institutions. The interface allows lenders to simulate and display projected credit score impacts of financial products over a six to twelve-month horizon at the point of sale, enabling greater transparency in lending decisions.
Shubham Arawkar, Co-founder and Chief Technology Officer, said, “The system addresses long-standing information imbalance in retail lending by allowing borrowers to understand how financial products influence their credit trajectory before making decisions.”
The ScoreBoost Application Programming Interface is currently in pilot deployment with selected non-banking financial companies and digital lending platforms, with wider rollout expected later in 2026.
On regulatory compliance, the company confirmed that BASIC operates solely on consumer-consented credit data accessed through authorised frameworks under the Credit Information Companies (Regulation) Act, 2005, and complies with the Digital Personal Data Protection Act, 2023. The system does not access bank accounts, messages, or any non-consented personal data.
GoCredit also clarified that the BASIC advisory engine is operationally separated from its lending and underwriting systems, ensuring that recommendations generated by the model do not influence credit approval decisions.
The Credit Score Boost service is currently available on the GoCredit Android application at a subscription price of 199 Indian rupees per month. TARA AI Labs continues to operate as the company’s dedicated research division focused on artificial intelligence applications in financial inclusion and credit systems in emerging markets.
The launch of BASIC and ScoreBoost reflects a broader shift toward data-driven financial empowerment tools in India’s rapidly expanding credit landscape, where personalised intelligence is increasingly positioned as a critical bridge between consumers and formal credit access.
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