Collekt provides an AI-driven operating system that automates loan recovery workflows, using machine‑learning models trained on over $775 million of distressed assets to predict and execute the next‑best action for each case. The platform resolves the majority of collections digitally, cutting collection costs by 60–70% and integrating with underwriting to reduce future defaults.
Funding
Funding not disclosed
Founders
Product
Problem
Loan lenders face high collection costs and low recovery rates because traditional recovery processes rely heavily on manual agent work, leading to inefficient handling of distressed assets and limited scalability.
Solution
Collekt offers an AI-native operating system that automates loan recovery workflows across the entire loan lifecycle. By leveraging machine‑learning models trained on over $775 million of distressed assets, the platform predicts the optimal next‑best action for each case and executes digital‑first resolutions automatically. It resolves more than 80% of cases without human intervention, reducing collection costs by 60–70% while allowing agents to focus on high‑impact interventions. The system also integrates with underwriting and risk scoring to prevent high‑friction borrowers from being approved, and provides pre‑due nudges to mitigate delinquency before it occurs.
Target Audience
Primary customers are financial institutions, loan servicers, and alternative lenders that manage consumer or small‑business loan portfolios and seek to improve recovery efficiency and reduce operational costs.
Features
- Autonomous recovery engine that triggers next‑best actions in real time, handling the majority of cases without agents
- Machine‑learning models trained on $775M+ of distressed assets, delivering predictive accuracy for resolution pathways
- End‑to‑end workflow coverage from underwriting risk scoring and pre‑due prevention to early resolution and write‑off management
- Digital‑first communication across major channels powered by conversational AI, with human escalation only when it improves outcomes
- Integration layer that feeds real‑world collection costs back into loan management systems to refine approval criteria
- Scalable architecture that allows lenders to increase recovery volume without adding headcount