Case Studies
Real-world examples of how we solve complex challenges.
FinTech Core Banking System
Modernization of legacy banking infrastructure.
The Challenge
The client, a leading regional bank, was struggling with a 15-year-old monolithic core banking system. Deploying new features took months, and the system suffered from frequent downtime during peak transactional hours, leading to significant customer dissatisfaction and lost revenue opportunities.
The Solution
We architected a complete migration to a microservices-based architecture using .NET Core and MSSQL. The solution was deployed on Red Hat OpenShift Container Platform to ensure scalability and resilience. We implemented Apache Kafka for real-time event streaming between services, decoupling the architecture and preventing bottlenecks.
The Result
The new system achieved 99.999% availability over the first year of operation. Feature release cycles were reduced from 3 months to just 2 weeks (4x faster). The bank can now handle 10x the transaction volume with zero performance degradation.
Red Team: Operation 'Vault'
Advanced security assessment for critical infrastructure.
The Challenge
A critical insurance infrastructure provider needed to verify their security posture against advanced persistent threats (APTs) before a major regulatory audit. They required a realistic simulation of a targeted attack to uncover unknown vulnerabilities that automated scanners would miss.
The Solution
Our Red Team launched "Operation Vault," a multi-phase engagement mimicking nation-state actors. We utilized advanced social engineering, custom exploit development, and lateral movement techniques. The operation bypassed traditional perimeter defenses to test internal detection capabilities.
The Result
We identified many critical vulnerabilities that could have led to a complete data breach. All vulnerabilities were patched before the audit. The client's security team (Blue Team) significantly improved their incident response time based on our debriefing.
Bank Infrastructure Pentest
Comprehensive security validation for banking.
The Challenge
A leading commercial bank needed to validate the security of their internal and external infrastructure after a major network overhaul. They were concerned about potential misconfigurations in lateral movement paths.
The Solution
We conducted a gray-box penetration test simulating an attacker with initial low-privilege access. We tested Active Directory security, network segmentation, and endpoint protection controls.
The Result
We discovered and helped remediate critical AD misconfigurations that allowed for domain dominance. The bank's security posture score improved by 40%, and the validation satisfied regulatory stress-test requirements.
SOC Implementation
24/7 Security Operations Center setup.
The Challenge
A telecom operator lacked visibility into security events across their vast network. Incident response was reactive and slow, relying on manual log reviews.
The Solution
We designed and built a modern SOC using IBM QRadar for SIEM. We defined 50+ correlation rules for threat detection and automated distinct response playbooks for common attacks.
The Result
Mean Time to Detect (MTTD) dropped from days to minutes. The automated response capabilities reduced analyst fatigue and ensured consistent handling of security incidents 24/7.
Bank Mobile App
Development of frontend and backend application for a digital bank.
The Challenge
A digital-first bank needed a native mobile application (iOS & Android) that could compete with top global fintechs. The app required seamless integration with legacy core banking systems while offering modern features like biometric auth and real-time transaction categorization.
The Solution
We utilized Flutter for a unified high-performance codebase, coupled with a Node.js middleware layer to orchestrate API calls securely. We implemented OAuth2 for secure session management and integrated native biometric SDKs for frictionless login.
The Result
The app launched with a highrating on both app stores. User acquisition costs dropped by 40% due to the seamless onboarding flow, and existing customers increased their daily engagement by 3x.
Global Registrar Platform
Scalable microservices architecture for high-traffic DNS system.
The Challenge
A global domain registrar was experiencing latency during high-traffic DNS update events. Their legacy platform couldn't scale dynamically, resulting in slow propagation times and customer complaints.
The Solution
We re-engineered the backend into microservices exposing high-performance APIs. The platform was deployed on Kubernetes with Redis clustering for lightning-fast lookups.
The Result
The system successfully handled millions of concurrent queries with zero downtime. API response times improved by 40%.
AI Document Chatbot
Development of private LLM model for a Docu Chatbot.
The Challenge
A top-tier law firm needed to automate the review of thousands of contracts. They required the reasoning capabilities of LLMs but could not upload sensitive client data to public models like ChatGPT due to confidentiality/GDPR concerns.
The Solution
We deployed a private, fine-tuned instance of Llama 3 for a custom Docu Chatbot. We implemented a RAG (Retrieval-Augmented Generation) pipeline to allow the model to cite specific clauses from their internal legal precedent database.
The Result
Contract review time was reduced by 70%. The system flags risks with 95% accuracy compared to senior partners, freeing up lawyers to focus on high-value strategy rather than routine document analysis.
Fraud Detection
Fraud detection system for Banking clients using Machine Learning.
The Challenge
Banking clients were facing increasing sophisticated fraud attempts. Traditional rules-based systems were producing too many false positives and failing to catch novel attack patterns.
The Solution
We implemented a Machine Learning solution using Databricks and TensorFlow. The system analyzes transaction patterns in real-time to assign fraud risk scores with high accuracy.
The Result
Fraud detection accuracy improved by 45%. The system now proactively blocks fraudulent transactions, saving the bank millions in potential losses annually.
Enterprise Data Mesh
Decentralized data architecture for telecom.
The Challenge
A telecom provider struggled with a centralized data warehouse that became a bottleneck. Business units had to wait weeks for simple reports, and data quality issues were rampant due to lack of ownership.
The Solution
We transitioned the organization to a Data Mesh architecture using Databricks Lakehouse. We established federated governance and empowered 12 separate business domains to build and publish their own "Data Products" (e.g., Customer Usage, Billing).
The Result
Time-to-insight dropped from weeks to hours. Data trust scores improved significantly as domain experts took ownership. The organization now treats data as a first-class product, enabling rapid cross-domain analytics.
Real-time Fraud Analytics
Streaming data platform for financial security.
The Challenge
A financial institution was relying on batch processing to detect fraud, meaning suspicious transactions were often flagged only *after* the money had left the building. They needed instantaneous detection capabilities.
The Solution
We built a Kappa architecture pipeline using Apache Kafka and Spark Structured Streaming. This allowed us to apply complex fraud detection rules and ML models to transaction streams in milli-seconds.
The Result
Fraud detection latency was reduced to sub-100ms. The system stopped $5M in fraudulent transactions in its first year by blocking them in real-time before authorization.
Hybrid Cloud Migration
Strategic infrastructure modernization.
The Challenge
A banking client needed to leverage the scalability of the public cloud for their digital channels but was legally required to keep core customer data on-premise due to strict data residency laws.
The Solution
We designed a best-of-breed Hybrid Cloud architecture. We utilized AWS Direct Connect to link their on-prem data center securely to the cloud. We implemented a unified management plane to orchestrate workloads across both environments seamlessly.
The Result
The bank achieved 100% regulatory compliance while reducing infrastructure costs by 20% through auto-scaling of frontend services in the cloud. Disaster recovery time (RTO) was improved by 60%.
OpenShift Banking Cluster
Mission-critical container platform.
The Challenge
The client's development teams were struggling with "it works on my machine" issues and long deployment pipelines. Security mandates required strict isolation between services, which was difficult to manage manually.
The Solution
We engineered a geo-redundant Red Hat OpenShift cluster distributed across three availability zones. We integrated Istio Service Mesh to enforce Zero Trust security (mTLS) between all microservices automatically, without code changes.
The Result
Deployment frequency increased from monthly to multiple times a day. The platform provides 99.999% uptime for critical payment services, with automated failover capabilities.
ISO 27001 Certification
Security governance and compliance success.
The Challenge
A rapidly growing software company wanted to bid for government contracts but was blocked by the lack of ISO 27001 certification. Their internal processes were ad-hoc and undocumented.
The Solution
We led the implementation of a comprehensive Information Security Management System (ISMS). We defined risk treatment plans, created necessary policies, and trained staff. We conducted internal pre-audits to ensure readiness.
The Result
The company passed the external Stage 2 audit on their first attempt with zero non-conformities. This unlocked $2M+ in new revenue from government contracts within 6 months.
Digital Transformation
Logistics optimization through data.
The Challenge
A regional logistics provider was drowning in paperwork. Delivery tracking was manual, leading to errors and customer complaints. Drivers were taking suboptimal routes, wasting fuel and time.
The Solution
We implemented a digital transformation roadmap. We deployed tablets to drivers for paperless delivery proof and integrated a route optimization engine powered by historical traffic data.
The Result
Fuel costs were reduced by 15% in the first year. Operational efficiency increased by 30%, allowing the same fleet to handle more daily deliveries. Customer satisfaction scores (NPS) rose by 20 points.