AI-powered third-party risk assessment platform for enterprise due diligence
Xapien builds an AI-powered due diligence platform using Python, Go, React, and Temporal to surface third-party risk at scale. The tech stack reveals a microservices-first architecture (gRPC, Kubernetes, MongoDB, Elasticsearch) paired with RAG and NLP capabilities—a pattern typical of real-time intelligence platforms. Hiring is heavily skewed toward engineering (13 of 16 open roles), with a pronounced senior and staff tier, suggesting the company is scaling from prototype to operationally mature product while chasing real-time due diligence demand that current systems are struggling to meet.
Notable leadership hires: Head of Engineering
Xapien provides AI-driven due diligence and third-party risk assessment for large enterprises, consultancies, legal firms, and nonprofits. Founded in 2018 by veterans in intelligence and financial crime, the company operates from London with 51–200 employees. The platform combines natural language processing and machine learning to identify regulatory and reputational risks across a business's supplier and partner ecosystem. Core technical challenges center on delivering real-time risk insights at enterprise scale while managing the compliance and regulatory overhead that drives demand for their product.
Python, Go, React, Temporal, Kubernetes, MongoDB, Elasticsearch, AWS, GCP, gRPC, Grafana Cloud, Terraform, and RAG/NLP for AI capabilities. Infrastructure-as-code and microservices are core to their deployment model.
London, Greater London, United Kingdom. All current hiring is concentrated in the UK.
Xapien'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.