The startup offers a credit management platform that automates collections and settlements through a structured process that transforms default data into actionable recovery strategies. Utilizing artificial intelligence and machine learning, it enhances borrower behavior modeling, enabling lending institutions to achieve measurable improvements in recovery efficiency.
Funding
$460K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Lending institutions, marketplaces, and retail asset reconstruction companies (ARCs) face significant losses due to mounting bad debts, despite investments in recovery operations. Traditional debt recovery methods often lack the intelligence and empathy needed to effectively address borrower circumstances and maximize recovery potential.
Solution
ICanPe offers an AI-powered credit management platform that automates collections and settlements through a structured, six-step process. The platform transforms default data into actionable recovery strategies by leveraging advanced models from consumer science, marketing science, behavioral economics, AI, and machine learning. ICanPe identifies the reasons for non-payment, communicates flexible repayment options, and suggests the most appropriate communication channel based on borrower demographics and loan age. The platform also provides lenders with a dashboard to monitor the entire process and make informed decisions.
Target Audience
ICanPe targets lending institutions (banks, NBFCs, FinTechs), marketplaces needing to ensure sellers are paid, and retail asset reconstruction companies (ARCs) managing stressed loan portfolios.
Features
- AI-driven methodology to map multiple possible scenarios and provide default and recovery scores.
- Data crunching through traditional and alternative data sources to identify reasons for non-payment, including life events or casualties.
- Downstream activities that suggest the most appropriate communication channel based on borrower demographics and loan age.
- Flexible repayment options communicated to borrowers while respecting their privacy.
- A lender dashboard providing updates on the entire process, enabling case-by-case decision-making.
- AI-driven assessment of individual and overall recovery stress in retail ARC portfolios, linking projected losses to portfolio pricing efficiency.
- Smart buy-side logic for ARCs to price their acquisition of degraded portfolios at par with the recovery potential of the portfolio.