Persistent Systems announced that it has achieved the Databricks Brickbuilder Specialization for Banking, Financial Services and Insurance (BFSI). The recognition reflects Persistent's industry expertise and experience delivering solutions on the Databricks Data Intelligence Platform.

The specialization strengthens Persistent's ability to help financial institutions turn fragmented data and AI pilots into scalable solutions. Certified Databricks talent, reusable accelerators and established BFSI implementation patterns reduce delivery complexity across risk, fraud and customer intelligence.

Financial Services organizations face growing regulatory scrutiny, more sophisticated financial crime and rising customer expectations. Yet legacy architectures continue to separate transactional data, risk and compliance, limiting timely insights and responsible deployment of AI. Persistent addresses this by leveraging the Databricks Data Intelligence Platform to unify financial data into a governed, AI-ready layer. Delta Lake, Unity Catalog and Mosaic AI support the development, evaluation and monitoring of data products, models and AI agents within institutional security and governance requirements.

The latest instance is the Company's Merchant Risk Management and Fraud Detection solution, built on Databricks and powered by Agentic AI, which enables institutions to shift from reactive fraud controls to predictive, intelligent merchant risk management. Persistent also provides secure, data-grounded GenAI agents for operations, analytics and compliance, supported by evaluation and monitoring mechanisms designed for accuracy, explainability and alignment with BFSI workflows.

Persistent and Databricks continue to deepen their go-to-market collaboration through co innovation and joint client engagements. For a leading European bank, the Company leveraged Databricks to modernize risk data infrastructure and customer data frameworks, enabling faster access to governed insights and strengthening regulatory readiness. Persistent also helped one of Japan's largest financial services organizations establish a governed data management framework on Databricks that improved oversight while reducing cloud costs.