GBG operates a multi-layered identity and location intelligence platform serving over 20,000 customers across KYC, AML, fraud detection, and document verification. The tech stack reveals a hybrid cloud strategy (Azure, AWS, GCP) paired with heavy ML investment (TensorFlow, PyTorch, Keras, JAX, LoRA/QLoRA), while active projects around AI/ML strategy for documents and biometrics alongside search algorithm optimization suggest a push toward automated risk assessment. Recurring pain points around fraud detection scaling and renewal risk indicate the business is maturing past transactional adoption toward deeper penetration and operational efficiency.
Notable leadership hires: Business Development Director, Chief Data Officer, Account Director, Machine Learning Director
GBG is a public company headquartered in Chester, United Kingdom, with over 1,100 employees and a 35-year operating history in identity verification and location data. The platform serves financial services, fintech, government, and commerce sectors with solutions spanning identity proofing, KYC/AML compliance, age verification, background screening, and fraud detection. Current hiring focus spans engineering (26 roles), sales (21), and support (20), with active recruitment across six countries—signaling geographic expansion and scaling of customer-facing operations. The company maintains a substantial customer base of 20,000+ institutions globally.
GBG uses Microsoft Dynamics 365, SQL Server, PostgreSQL, Azure, AWS, GCP, Salesforce, Python, C++, C#, .NET, AWS Lambda, and ML frameworks including TensorFlow, PyTorch, Keras, JAX, LoRA, and QLoRA. The stack spans ERP, cloud infrastructure, database, and advanced machine learning.
Active projects include AI/ML strategy for documents and biometrics, address search product development, custom API/SDK integrations, search algorithm optimization, identity verification workflows, and automation of customer support and routine tasks.
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