Identity verification and AML compliance platform with consulting services
Idenfo builds compliance and identity verification infrastructure for regulated financial services. The stack spans modern backend (Node.js, TypeScript, Python, MongoDB, Redis, Elasticsearch) paired with mobile-first frontend (React, Vue, Next.js, Android/Kotlin), indicating a product-led push toward digital onboarding and API-driven integrations. Sales hiring is outpacing engineering (4:1 ratio) while the company scales revenue in KYC/AML verticals and addresses sales process friction.
Idenfo offers four distinct compliance service lines: a health-check consulting engagement covering AML framework advisory; specialized consultancy in risk assessment, transaction monitoring, and sanction screening; outsourced AML services including customer data refresh and due diligence; and a modular, cloud-hosted SaaS platform with digital onboarding, facial recognition, name screening, and financial crime checks. The company serves financial institutions and regulated businesses in the UK and UAE. Operations span consulting advisory, vendor management, and product delivery.
Idenfo runs Node.js and TypeScript on the backend, with MongoDB, Redis, and Elasticsearch for data. Frontend uses React, Vue, and Next.js. Mobile apps are built in Android and Kotlin. The stack also includes Python and LangChain/RAG, suggesting recent AI integration for document and screening workflows.
Idenfo provides AML health-checks, risk assessment and transaction monitoring consultancy, outsourced due diligence and sanctions screening, and a configurable SaaS platform with digital onboarding, facial recognition, name screening, and background verification modules.
Idenfo'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.