Financial crime compliance platform with dynamic screening and AI-tuned customer due diligence
Facctum builds watchlist management and customer screening tools for financial institutions, with a tech stack centered on Snowflake, AWS, and Python. The engineering hiring surge (10 open roles in the last 30 days) combined with concurrent data, marketing, and DevOps adoption (Terraform, Prometheus, Helm) suggests a scaling phase focused on both product modernization and operational reliability — specifically, the active projects on event-driven integration, data governance, and API-led patterns indicate a shift toward real-time screening and compliance workflows.
Facctum is a financial crime compliance SaaS platform founded in 2021, based in London with operations across five global locations. The product centers on automated watchlist screening and customer due diligence, with AI-driven profile tuning and impact analysis capabilities. The company serves mid-market and large financial institutions managing anti-money laundering, counter-terrorism financing, and case management workflows. Current operational pain points center on high-availability and scalability in distributed screening systems, regulatory data integrity, and modernizing customer response latency.
Core stack: Snowflake, AWS (EKS, RDS, Lambda, ECS), Python, dbt, Kafka, PostgreSQL, MongoDB. Data pipeline: Matillion, Ab Initio. Adopting: Terraform, Helm, Prometheus, Grafana for observability.
Active projects: event-driven integration platform, API-led integration patterns, data governance and metadata management, dimensional data warehouse modeling, trust centre deployment, and customer assurance programme.
Facctum'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.