End-to-end debt services platform with data-driven resolution
Perch Group operates a vertically integrated debt services business spanning purchase, collections, litigation, and customer reconnection across the UK. The tech stack reveals a data-infrastructure-heavy operation: Azure cloud, Databricks, Delta Lake, and PySpark anchor a modern data platform, while .NET and C# power core services. Active projects cluster around pipeline automation, metadata-driven engineering, and data warehouse maturation—signaling a shift from ad-hoc data tooling toward industrialized, self-service analytics infrastructure.
Perch Group is a UK-based debt lifecycle services provider operating through five subsidiary brands: Perch Capital (debt purchase), ACI (FCA-regulated collections), TM Legal Services (litigation and enforcement), Verify (customer data and reconnection), and Connect (contact center outsourcing from Durban, South Africa). The company serves financial services firms, utilities, and SMEs seeking end-to-end solutions for debt management and recovery. Founded in 2018 and headquartered in Blackpool, Perch operates at the intersection of fintech and regulatory compliance, combining human expertise with digital infrastructure across multiple regulated verticals.
Azure cloud, Databricks, Delta Lake, and PySpark form the data layer. Core services run on .NET and C#, backed by SQL Server. Web properties use WordPress, Umbraco, Sitecore, and React. DevOps is Azure-native (DevOps, Pipelines, Functions, Logic Apps, Service Bus). Monitoring uses Datadog.
Active priorities center on data modernization: pipeline automation, metadata-driven framework development, enterprise data warehouse maturation, reporting dashboard automation, and ingestion pipeline tooling. Projects also include new purchase order and expenses systems, signaling internal operational upgrades.
Perch Group's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.