Enterprise debt collection platform with AI-driven recovery optimization
EXUS operates a B2B SaaS platform for debt collection across finance and utilities, built on containerized infrastructure (Kubernetes, AWS EKS, Azure AKS) with heavy investment in AI and LLM systems. The engineering-heavy hiring mix—dominated by senior-level roles—paired with active projects in credit risk scoring, LLM-powered workflows, and early-warning models signals a pivot toward AI-augmented collections intelligence rather than traditional software-as-a-service. They're addressing internal scaling challenges in collections productivity and credit risk modeling while recruiting globally across Eastern Europe, Southeast Asia, and Africa.
EXUS is a UK-based enterprise software company (founded 1989, 51–200 employees) providing debt collection and recovery software to mid-market and large finance and utilities organizations globally. The EXUS Financial Suite (EFS) covers the full debt lifecycle—from disbursement through write-off or debt sale—with features for collections automation, omnichannel engagement, and customer insights. The platform operates on transparent, predictable pricing with no upfront onboarding fees. Current product development prioritizes machine learning and generative AI capabilities for credit risk assessment, collections workflow automation, and early-warning systems to improve recovery rates and reduce operational costs.
EXUS runs Kubernetes (AWS EKS and Azure AKS), Terraform, Ansible, Helm for infrastructure; Python and Bash for application code; Prometheus and Grafana for observability; GitHub Actions for CI/CD; AWS and Azure for cloud; Active Directory and Azure AD for identity; Jira for project management.
EXUS is developing credit risk scoring systems, LLM-powered collections workflows and agents, ML/GenAI systems for risk modeling, early-warning models, and digital collections optimization. They are also running proof-of-concept work and building employer branding and AI recruitment automation capabilities.
Other companies in the same industry, closest in size