Global Leader in Mobile Security Solutions
Mobile Security / Telecom / FinTech
Enable real-time remote lock/unlock for EMI and postpaid phones, prevent SIM-swap fraud, and overcome scalability, deployment, and security bottlenecks.
Remote Device Control Limitations: No real-time lock/unlock, causing revenue loss and poor UX.
SIM-Swapping Fraud: Vulnerability to identity theft and service abuse.
Scalability Constraints: Legacy infrastructure couldn’t handle global peaks or real-time AI policy checks.
Deployment & Security Bottlenecks: Manual deployments increased compliance risks.
AI-Driven, Cloud-Native Mobile Security Platform (AWS/GCP)
Generative AI & AI Agents: Real-time fraud detection, AI-driven policy enforcement, 24/7 AI support.
Cloud Migration & Native Development: Serverless microservices, Kubernetes auto-scaling.
DevSecOps: Terraform, Kubernetes, and security-as-code ensuring zero-trust deployments.
Secure Mobile OS Module: Firmware enforcing instant lock/unlock and policy compliance.
Admin Dashboard & APIs: Web UI and REST APIs for device management, reporting, and auditing.
Remote Device Control Limitations: No real-time lock/unlock, causing revenue loss and poor UX.
SIM-Swapping Fraud: Vulnerability to identity theft and service abuse.
Scalability Constraints: Legacy infrastructure couldn’t handle global peaks or real-time AI policy checks.
Deployment & Security Bottlenecks: Manual deployments increased compliance risks.
Substantial Reduction in Mobile Fraud (SIM-swap & unauthorised unlock).
Secured Millions of Devices Globally.
Real-Time AI Enforcement: Millisecond-level threat prevention.
~50% Cloud Cost Savings: Optimised serverless microservices.
Enterprise-Grade Compliance: ISO and security certifications achieved.
Global Multinational Media Services Company
Media / Streaming
Fragmented monitoring across dispersed applications led to frequent outages, slow incident response, visibility gaps, and high operational costs.
Streaming Service Outage: 2-hour live event downtime affected 1M+ viewers due to undetected DB overload.
Delayed Incident Resolution: Critical login API failed silently; fragmented monitoring delayed detection for hours.
Data Sync Failures: Inconsistent regional DB sync caused erroneous subscriptions and user profile issues.
Google Cloud-Based Unified Monitoring Platform
Cloud Functions + API Gateway: Event-driven monitoring and alerts.
Pub/Sub Messaging: Real-time alerting and Slack integration for fast incident response.
Cloud Monitoring + Cloud Functions: Proactive/predictive alerting.
Cloud SQL (MySQL): Centralized data management.
Jaeger + Cloud Service Mesh: Distributed tracing and system-wide visibility.
ServiceNow Integration: Streamlined incident resolution via automated ticketing.
Faster Incident Response: Rapid detection and resolution.
Centralized Visibility: Unified dashboard improved monitoring across all apps.
Enhanced Performance & Uptime: Dramatic reduction in downtime.
Cost Savings: Eliminated tool redundancies and optimized infrastructure.
Boosted User Satisfaction: Reliability and responsiveness improved customer and stakeholder confidence.
This unified monitoring solution became a cornerstone of operational excellence, driving service reliability and efficiency at scale.
Global Media & Entertainment Provider
Media / Broadcasting / AI & Cloud
The client faced widespread unauthorized distribution of premium content, including live sports and original series, leading to major revenue loss, brand dilution, and poor enforcement due to limited monitoring.
Live Sports Piracy: Frequent unauthorized live streams on third-party sites, reducing subscription revenue.
TV Series Leaks: Early illegal uploads of high-value content eroded exclusivity.
Slow Detection: Inadequate monitoring delayed enforcement actions.
AI-Driven Piracy Detection Platform (Built on GCP)
Advanced AI Models: Detected piracy patterns via consumption rate, CDN traffic, and usage anomalies.
GCP Composer Pipelines: Automated large-scale data analysis across network/CDN for piracy indicators.
Real-Time IP Flagging: Dynamic identification of suspicious IPs for immediate enforcement.
Integrated Alerts & Dashboards: Notified compliance teams instantly with centralized visibility.
Much Faster Piracy Detection: Enabled immediate takedown actions.
30% Increase in Revenue Protection: Reduced content leakage restored earnings.
Improved Brand Integrity:Better content control reinforced premium positioning.
Scalable Security: AI-enabled solution adapted to evolving piracy threats.
This AI-powered system transformed the client’s content protection operations, strengthening their market leadership in premium media delivery.
Leading Global Manufacturing & Industrial Engineering Firm
Media / Streaming
Industrial environments faced unanticipated equipment failures and utility outages due to lack of integrated monitoring. Fragmented systems led to delays in maintenance response, inefficient alerts, and higher risk of production downtime.
Unplanned Downtime: Inadequate monitoring of environmental parameters (e.g., temperature, humidity) and utilities (gas, lights, power) led to delayed failure detection.
Manual Alerting Gaps: Maintenance teams received late or no notifications due to lack of real-time push or SMS alerts.
Scalability Limitations: Legacy systems couldn’t adapt to growing sensor/device networks or modern DevOps pipelines.
Azure-Based Monitoring and Alert Platform
Device & Sensor Monitoring: Real-time data ingestion across temperature, humidity, and utilities in heavy industrial zones.
Alarm Configuration + Notifications: Custom alarm triggers with in-app, push, and SMS alerts to maintenance.
Site Hierarchy + Timeline Views: Granular control and visibility over plant sections, maintenance events, and system history.
Microservices on Azure Stack: Modular, scalable backend architecture using Azure services.
DevOps CI/CD Integration: Pipeline automation with bug tracking, testing, and static code analysis.
Backend/API: .NET Core, Azure CLI, .NET 4.6, Visual Studio 2019, Xunit
Web App: ReactJS, Node.js, React Native, NPM, Yarn, Jest
Scripting & Automation: Python, PowerShell, Groovy, Make
DevOps Tools: Jira, Bamboo CI, SonarQube, Coverity
Reduced Downtime Risk: Early failure detection and alerting prevented unexpected interruptions.
Improved Maintenance Efficiency: Automated alerts and centralized visibility accelerated maintenance workflows.
Operational Scalability: Platform scaled with ease to accommodate new devices and sensors.
Faster DevOps Deployment: CI/CD pipelines enabled rapid updates and lower operational friction.
Enhanced Reliability: Stakeholder trust improved through consistent uptime and system responsiveness.
This platform adoption initiative transformed plant operations into a proactive, resilient environment with scalable, real-time monitoring and streamlined maintenance workflows.
Global Manufacturing Enterprise
Energy Management / Industrial IoT
Manufacturing plants worldwide lacked real-time visibility into power consumption, leading to energy waste, high costs, and limited data to drive sustainable operations. There was also a need for a scalable platform to support future digital initiatives like OEE and asset optimization.
High Energy Costs: Absence of energy usage insights made it difficult to identify inefficiencies and drive conservation.
Lack of Real-Time Monitoring: No centralized system for live energy data aggregation and alerting across plant devices.
No Unified Dashboard: Users had no access to consolidated KPIs or actionable visualizations at plant or global level.
Azure-Based IIoT Energy Monitoring Platform
Azure Services for Real-Time Processing: Cloud-based aggregation and contextualization of energy data using Azure Functions and Cosmos DB.
Admin & User Dashboard: Web dashboard to manage users, roles, alarm subscriptions, and plant preferences.
Power BI Energy Insights: Custom dashboards with energy KPIs, savings reports, and highcharts visualizations.
Alarm Subscription Engine: Admins can configure and subscribe to device-generated alarms at the plant level.
Platform Foundation for Expansion: Designed to support future digital solutions (e.g., OEE, asset availability).
API: C#, Azure Functions, .NET Core 3.0
Web App: Angular 7.2.1, Bootstrap 4.1.3, NGRX 7.0, TypeScript 3.1.6, Highcharts-Angular 2.4.0, Power BI
Scripting & Automation: MS Build, PowerShell, Azure CLI
Deployment Tools: Bamboo, JFrog
Static Analysis: SonarQube, Coverity
Azure Services: API Management, App Service, Cosmos DB
Energy Visibility at Scale: Unified platform enabled real-time monitoring across multiple plants.
Reduced Power Waste: Actionable KPIs led to targeted energy-saving interventions.
Admin Control & Flexibility: Streamlined user and role management enhanced system governance.
Platform Readiness for Expansion: Architecture laid groundwork for integrating broader digital transformation tools.
Operational Efficiency: Live alarms and dashboards accelerated response to anomalies and boosted energy performance awareness.
This IIoT platform played a crucial role in advancing sustainability and digital maturity across global manufacturing sites.
Leading Marine OEM
Marine / Smart Connectivity
Siloed systems caused poor data access, missing service history, and weak customer engagement.
Disconnected data islands
No visibility into engine service records
Limited customer experience improvement
Integrated Platform with Data Lake
Central Data Lake: Unified OEM, dealer, and customer data.
Customer Portal: Real-time access to records, support, and insights.
IoT & Edge Layer: NMEA 2K, sensor integration, platform APIs.
Communication Module: Hardware driver integration.
24/7 Managed Services: DevOps and global support.
App integration, content management, AI/ML, AR/VR, security
Full ecosystem visibility
Better service & customer retention
Improved resale value & inventory mgmt
Single source of truth for all stakeholders
Global Leader in Mobile Security Solutions
Mobile Security / Telecom / FinTech
Enable real-time remote lock/unlock for EMI and postpaid phones, prevent SIM-swap fraud, and overcome scalability, deployment, and security bottlenecks.
Remote Device Control Limitations: No real-time lock/unlock, causing revenue loss and poor UX.
SIM-Swapping Fraud: Vulnerability to identity theft and service abuse.
Scalability Constraints: Legacy infrastructure couldn’t handle global peaks or real-time AI policy checks.
Deployment & Security Bottlenecks: Manual deployments increased compliance risks.
AI-Driven, Cloud-Native Mobile Security Platform (AWS/GCP)
Generative AI & AI Agents: Real-time fraud detection, AI-driven policy enforcement, 24/7 AI support.
Cloud Migration & Native Development: Serverless microservices, Kubernetes auto-scaling.
DevSecOps: Terraform, Kubernetes, and security-as-code ensuring zero-trust deployments.
Secure Mobile OS Module: Firmware enforcing instant lock/unlock and policy compliance.
Admin Dashboard & APIs: Web UI and REST APIs for device management, reporting, and auditing.
Remote Device Control Limitations: No real-time lock/unlock, causing revenue loss and poor UX.
SIM-Swapping Fraud: Vulnerability to identity theft and service abuse.
Scalability Constraints: Legacy infrastructure couldn’t handle global peaks or real-time AI policy checks.
Deployment & Security Bottlenecks: Manual deployments increased compliance risks.
Substantial Reduction in Mobile Fraud (SIM-swap & unauthorised unlock).
Secured Millions of Devices Globally.
Real-Time AI Enforcement: Millisecond-level threat prevention.
~50% Cloud Cost Savings: Optimised serverless microservices.
Enterprise-Grade Compliance: ISO and security certifications achieved.
Global Multinational Media Services Company
Media / Streaming
Fragmented monitoring across dispersed applications led to frequent outages, slow incident response, visibility gaps, and high operational costs.
Streaming Service Outage: 2-hour live event downtime affected 1M+ viewers due to undetected DB overload.
Delayed Incident Resolution: Critical login API failed silently; fragmented monitoring delayed detection for hours.
Data Sync Failures: Inconsistent regional DB sync caused erroneous subscriptions and user profile issues.
Google Cloud-Based Unified Monitoring Platform
Cloud Functions + API Gateway: Event-driven monitoring and alerts.
Pub/Sub Messaging: Real-time alerting and Slack integration for fast incident response.
Cloud Monitoring + Cloud Functions: Proactive/predictive alerting.
Cloud SQL (MySQL): Centralized data management.
Jaeger + Cloud Service Mesh: Distributed tracing and system-wide visibility.
ServiceNow Integration: Streamlined incident resolution via automated ticketing.
Faster Incident Response: Rapid detection and resolution.
Centralized Visibility: Unified dashboard improved monitoring across all apps.
Enhanced Performance & Uptime: Dramatic reduction in downtime.
Cost Savings: Eliminated tool redundancies and optimized infrastructure.
Boosted User Satisfaction: Reliability and responsiveness improved customer and stakeholder confidence.
This unified monitoring solution became a cornerstone of operational excellence, driving service reliability and efficiency at scale.
Global Media & Entertainment Provider
Media / Broadcasting / AI & Cloud
The client faced widespread unauthorized distribution of premium content, including live sports and original series, leading to major revenue loss, brand dilution, and poor enforcement due to limited monitoring.
Live Sports Piracy: Frequent unauthorized live streams on third-party sites, reducing subscription revenue.
TV Series Leaks: Early illegal uploads of high-value content eroded exclusivity.
Slow Detection: Inadequate monitoring delayed enforcement actions.
AI-Driven Piracy Detection Platform (Built on GCP)
Advanced AI Models: Detected piracy patterns via consumption rate, CDN traffic, and usage anomalies.
GCP Composer Pipelines: Automated large-scale data analysis across network/CDN for piracy indicators.
Real-Time IP Flagging: Dynamic identification of suspicious IPs for immediate enforcement.
Integrated Alerts & Dashboards: Notified compliance teams instantly with centralized visibility.
Much Faster Piracy Detection: Enabled immediate takedown actions.
30% Increase in Revenue Protection: Reduced content leakage restored earnings.
Improved Brand Integrity:Better content control reinforced premium positioning.
Scalable Security: AI-enabled solution adapted to evolving piracy threats.
This AI-powered system transformed the client’s content protection operations, strengthening their market leadership in premium media delivery.
Leading Global Manufacturing & Industrial Engineering Firm
Media / Streaming
Industrial environments faced unanticipated equipment failures and utility outages due to lack of integrated monitoring. Fragmented systems led to delays in maintenance response, inefficient alerts, and higher risk of production downtime.
Unplanned Downtime: Inadequate monitoring of environmental parameters (e.g., temperature, humidity) and utilities (gas, lights, power) led to delayed failure detection.
Manual Alerting Gaps: Maintenance teams received late or no notifications due to lack of real-time push or SMS alerts.
Scalability Limitations: Legacy systems couldn’t adapt to growing sensor/device networks or modern DevOps pipelines.
Azure-Based Monitoring and Alert Platform
Device & Sensor Monitoring: Real-time data ingestion across temperature, humidity, and utilities in heavy industrial zones.
Alarm Configuration + Notifications: Custom alarm triggers with in-app, push, and SMS alerts to maintenance.
Site Hierarchy + Timeline Views: Granular control and visibility over plant sections, maintenance events, and system history.
Microservices on Azure Stack: Modular, scalable backend architecture using Azure services.
DevOps CI/CD Integration: Pipeline automation with bug tracking, testing, and static code analysis.
Backend/API: .NET Core, Azure CLI, .NET 4.6, Visual Studio 2019, Xunit
Web App: ReactJS, Node.js, React Native, NPM, Yarn, Jest
Scripting & Automation: Python, PowerShell, Groovy, Make
DevOps Tools: Jira, Bamboo CI, SonarQube, Coverity
Reduced Downtime Risk: Early failure detection and alerting prevented unexpected interruptions.
Improved Maintenance Efficiency: Automated alerts and centralized visibility accelerated maintenance workflows.
Operational Scalability: Platform scaled with ease to accommodate new devices and sensors.
Faster DevOps Deployment: CI/CD pipelines enabled rapid updates and lower operational friction.
Enhanced Reliability: Stakeholder trust improved through consistent uptime and system responsiveness.
This platform adoption initiative transformed plant operations into a proactive, resilient environment with scalable, real-time monitoring and streamlined maintenance workflows.
Global Manufacturing Enterprise
Energy Management / Industrial IoT
Manufacturing plants worldwide lacked real-time visibility into power consumption, leading to energy waste, high costs, and limited data to drive sustainable operations. There was also a need for a scalable platform to support future digital initiatives like OEE and asset optimization.
High Energy Costs: Absence of energy usage insights made it difficult to identify inefficiencies and drive conservation.
Lack of Real-Time Monitoring: No centralized system for live energy data aggregation and alerting across plant devices.
No Unified Dashboard: Users had no access to consolidated KPIs or actionable visualizations at plant or global level.
Azure-Based IIoT Energy Monitoring Platform
Azure Services for Real-Time Processing: Cloud-based aggregation and contextualization of energy data using Azure Functions and Cosmos DB.
Admin & User Dashboard: Web dashboard to manage users, roles, alarm subscriptions, and plant preferences.
Power BI Energy Insights: Custom dashboards with energy KPIs, savings reports, and highcharts visualizations.
Alarm Subscription Engine: Admins can configure and subscribe to device-generated alarms at the plant level.
Platform Foundation for Expansion: Designed to support future digital solutions (e.g., OEE, asset availability).
API: C#, Azure Functions, .NET Core 3.0
Web App: Angular 7.2.1, Bootstrap 4.1.3, NGRX 7.0, TypeScript 3.1.6, Highcharts-Angular 2.4.0, Power BI
Scripting & Automation: MS Build, PowerShell, Azure CLI
Deployment Tools: Bamboo, JFrog
Static Analysis: SonarQube, Coverity
Azure Services: API Management, App Service, Cosmos DB
Energy Visibility at Scale: Unified platform enabled real-time monitoring across multiple plants.
Reduced Power Waste: Actionable KPIs led to targeted energy-saving interventions.
Admin Control & Flexibility: Streamlined user and role management enhanced system governance.
Platform Readiness for Expansion: Architecture laid groundwork for integrating broader digital transformation tools.
Operational Efficiency: Live alarms and dashboards accelerated response to anomalies and boosted energy performance awareness.
This IIoT platform played a crucial role in advancing sustainability and digital maturity across global manufacturing sites.
Leading Marine OEM
Marine / Smart Connectivity
Siloed systems caused poor data access, missing service history, and weak customer engagement.
Disconnected data islands
No visibility into engine service records
Limited customer experience improvement
Integrated Platform with Data Lake
Central Data Lake: Unified OEM, dealer, and customer data.
Customer Portal: Real-time access to records, support, and insights.
IoT & Edge Layer: NMEA 2K, sensor integration, platform APIs.
Communication Module: Hardware driver integration.
24/7 Managed Services: DevOps and global support.
App integration, content management, AI/ML, AR/VR, security
Full ecosystem visibility
Better service & customer retention
Improved resale value & inventory mgmt
Single source of truth for all stakeholders
