Indilabsai

Indilabs.ai is a fintech company founded in 2023 by Amit Chandola and Mansi Bailwal, specializing in AI-driven risk management for the financial services industry. The firm is registered in Singapore with a legal entity, Indilabs Ai Private Limited, incorporated in India on September 13, 2023.

The company offers an end-to-end intelligence and decisioning platform designed to enhance profitability and strategy across the entire lending lifecycle. Its core services target financial institutions such as banks, lenders, and insurance providers. The platform leverages AI and machine learning algorithms to convert internal and external data into actionable predictions and insights. This enables clients to discover risks and opportunities, run diagnostics, and conduct experiments to optimize their operations.

Key solutions include Risk Monitoring & Diagnostics for proactive portfolio surveillance and loss reduction; Collection Strategy & Decision Optimization, which uses ML-based customer profiling and automated testing to improve collections ROI; and Recovery & Debt Sale Solutions, which aim to turn write-offs into revenue through settlement optimization and a marketplace for distressed debt. The platform is designed to be secure, scalable, and helps clients automate workflows, tailor risk models, and gain real-time insights for faster decision-making.

In July 2025, Indilabs.ai secured strategic funding from SucSEED Indovation Fund to accelerate its expansion in India and international markets. The company's business model is centered on providing its cloud-based platform to financial firms to help them manage credit risk, debt collection, and overall strategy more effectively.

Keywords: AI risk management, intelligent decisioning, lending lifecycle, credit risk mitigation, debt collection optimization, financial services AI, portfolio surveillance, collections strategy, recovery solutions, distressed debt marketplace, fintech platform, machine learning, predictive analytics, automated strategy testing, settlement optimization, fraud detection, regulatory compliance