Re-architecting a legacy banking core to scale securely, detect fraud in real time, and operate without downtime at peak transaction volumes.
As transaction volumes surged during peak retail and digital commerce cycles, the bank’s legacy core - originally designed for predictable batch workloads - became a constraint rather than a foundation.
The existing monolithic architecture struggled to support real-time payments, leaving the institution vulnerable to outages during critical windows. Simultaneously, fragmented data streams made it impossible to detect sophisticated fraud patterns in real-time, forcing reliance on reactive, rule-based blocks that frustrated genuine customers.
Legacy infrastructure was the bottleneck. Monolithic architectures created single points of failure and prevented the agility needed to compete.
Transaction slowdowns during high-volume windows.
Fraud systems generating high false positives.
Manual incident response and war-room escalations.
To address failure cascading, we decomposed the liability-critical monolith into resilient microservices, isolating payment processing to ensure stability under load.
To eliminate batch bottlenecks, we implemented real-time Kafka streaming, allowing transactions to be processed and reconciled the instant they occur.
To stop sophisticated attacks, we deployed an inline machine learning model that adapts continuously, scoring transactions in milliseconds without latency.
sustained without degradation.
during peak retail traffic.
with 50% fewer false positives.
moving from monthly windows.
Beyond infrastructure, we help wealth management firms deliver hyper-personalized experiences, turning data into tailored financial advice.
Transforming a traditional advisory platform into a hyper-personalized, insight-driven wealth experience.
A premier wealth management firm was losing next-gen clients. Their digital portal was a static repository of PDF statements, giving no real-time transparency.
Advisors were overwhelmed with manual spreadsheet reporting, spending hours prepping for client meetings instead of building relationships.
Client attrition to digital-first robo-advisors.
Advisors spending 60% of time on admin tasks.
Lack of real-time portfolio visibility.
Generic advice that failed to engage younger investors.
We built a modern client portal powered by a recommendation engine that surfaces news, opportunities, and portfolio alerts tailored to individual goals.
Aggregated data to provide a 360-degree view of client wealth.
Algorithms suggesting 'Next-Best-Actions' for portfolio rebalancing.
Automated customized outreach and report generation.