Preventing Fraud Losses Through Real-Time 30ms Detection
Overview
A global financial technology enterprise required a scalable, multi-tenant AI/ML platform to detect and prevent fraud in real time. ImagineX partnered with the client to modernize their MLOps infrastructure, expand engineering capacity via hybrid development pods, ensure PCI-DSS compliance, and deliver a robust, cloud-native platform capable of enterprise-scale real-time fraud detection.
Problem
Per-tenant ML deployments limited scalability and operational efficiency.
Internal resources could not meet release deadlines or regulatory compliance milestones.
Rapid expansion of engineering capacity was needed without long-term overhead.
Platform required PCI-DSS compliance and 30ms real-time fraud scoring.
Hybrid integration was needed between a new R&D center and nearshore teams.
Solution
ImagineX deployed hybrid development pods co-located across the client’s new R&D center and our Costa Rica studio. Teams were fully integrated into product and architecture workflows, accelerating development of cloud-native MLOps services and infrastructure for real-time fraud scoring at a 30ms SLA. Security and compliance were embedded from the ground up, ensuring PCI-DSS audit readiness. ImagineX also provided leadership to scale distributed engineering teams using best practices for delivery and governance.
Outcome
Accelerated initial platform release and achieved PCI-DSS audit milestone on schedule.
Delivered MLOps platform supporting 30ms real-time fraud transaction scoring.
Rapidly scaled engineering organization without increasing long-term overhead.
Positioned the client with a robust, secure, multi-tenant SaaS platform for enterprise launches.
High client satisfaction (NPS 9/10).
Software Team
Product Owner
Architects (2)
Tech Lead
Engineers
Technologies Used
MLOps
Amazon Athena
AWS
Terraform
Python
Technology Consulting
Custom Software Development
Application & Cloud Development (AWS)
MLOps & Infrastructure as Code (IaC)
Backend and Frontend Engineering
