Synectics was founded in 1992 to leverage software and data to help organisations identify and prevent financial crime. Over three decades, the Company built a unique syndicated fraud database operating on a “give-to-get” model, where customers share fraud data in exchange for access to the collective dataset. Today, the platform contains over 300 million records, processed through a proprietary analytics engine to detect and prevent fraud across financial services, utilities and government

Post investment, Synectics is harnessing data in two principal ways: to enable scalable growth through operational improvement and to enhance value creation within its product offering.

First, Synectics has embedded a data-centric operating model to improve pace, coordination and execution discipline. Historically, data sat across fragmented systems, limiting visibility and slowing decision making. Since investment, the rollout of a new ERP backbone, contract management platform, CRM infrastructure and workflow tools has created a more integrated data layer across the business. This provides real-time performance visibility, clearer pipeline oversight and tighter execution tracking. The aim is to improve operational rhythm, accelerate data-driven decisions and support growth without a corresponding increase in organisational complexity.

In parallel, Synectics is strengthening its product advantage by better structuring and leveraging the data it captures through its platform. By evolving its data architecture and reducing internal silos, the Company can generate more precise, targeted insights that help financial institutions detect and prevent fraud more effectively. Enhanced modelling capabilities, built on real client data rather than synthetic datasets often used by competitors, allow continuous refinement of fraud detection algorithms. The result is demonstrable ROI for customers, stronger product differentiation and increased strategic value within client workflows.