Facctum is a new technology company specialising in risk decisioning. 
 
The purpose of Facctum is to enable better business decisions.  Our starting point is a Financial Crime Risk Management (FCRM) platform that delivers data-driven decisions for improved compliance effectiveness and more efficient operational performance. 

Our SaaS screening solution, FacctView, combines data analytics technology with high-performance name matching and risk decisioning capabilities. This delivers a resilient and agile response to risk that is scalable and explainable, with improved speed-to-compliance. Our approach is cloud-first, with a focus on enabling the integration of Facctum solutions into an institution's preferred technology stacks.   

Facctum was founded in 2021 by a group with various backgrounds in banking, FCRM technology, data science and software engineering  – who saw that attempts to solve critical FCRM problems did not use the full potential of new technology.  Facctum is proud to be a product-led organisation -that is who we are- and the opportunity to build new empowering products is what drives us forward. 

Facctum is headquartered in London, United Kingdom, with operations in India. 

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Data

Enterprise Software

Infrastructure

Risk & Compliance

Software Engineering

Facctum

The Bangalore office focuses on software development, data analytics, and AI/ML innovations to drive business solutions.

Bangalore

The Pune office specializes in software development, data engineering, and technology solutions, fostering innovation and quality assurance.

Pune

Facctum's headquarters in London, United Kingdom

This department focuses on the development and operational support of software systems, ensuring efficient deployment and maintenance.

DevOps Engineering

This department focuses on designing, coding, testing, and maintaining software applications and systems.

Software Development

This department focuses on the design, development, and maintenance of data architecture and pipelines to support data analysis and utilization.

Data Engineering

This department focuses on developing and implementing machine learning models and algorithms to solve complex problems.

Machine Learning

This department focuses on interpreting complex data sets to provide actionable insights and support decision-making processes.

Data Analysis

This department manages financial planning, analysis, and reporting to support the organization's financial health.

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Other teams

Software Development

Data Engineering

Machine Learning

Data Analysis

Finance Department