Engineering the Future of App modernization.
Modernizing legacy systems with cloud-native architectures, microservices, and automated CI/CD engineering.
We've worked with great companies
Accelya achieved 65% faster deployments and greater innovation with Zapcom’s modernization.
Through a collaborative modernization roadmap, Zapcom re-architected Accelya’s legacy systems into scalable, cloud-native services — enabling faster product iterations, seamless API integration, and greater business agility.
LESLEY HARRIS
Chief Operating Officer.
Why Zapcom?
15+ years of engineering innovation helping global enterprises modernize, scale, and deliver faster in the digital era.
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Trusted Global Partners
Empowering enterprises worldwide through scalable, cloud-native transformation.
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Applications Delivered
Modern apps engineered using Kubernetes, serverless, APIs, and next-gen frontend frameworks.
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Global Engineers
Specialists in cloud, AI, data, and experience-led digital modernization.
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years of Modernization Expertise
Proven experience transforming legacy systems into resilient, cloud-ready platforms.
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End Users Impacted
Our modernized solutions power high-traffic enterprises across travel, BFSI, retail, and more.
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Successful Customer Outcomes
Cloud migrations, microservices, APIs, and enterprise re-architecture delivered at global scale.
Proven Modernization Outcomes That Drive Enterprise Growth.
Real modernization wins across cloud, microservices, APIs, and experience engineering trusted by global CEOs, CTOs, and digital transformation leaders.
Legacy Platform Re-architecture
Re-engineered a full lending platform from legacy tech into a secure, cloud-native architecture with modular services, API monetization, automated workflows,
Frontend & Mobile Modernization
Modernized Android & iOS apps using Jetpack Compose and SwiftUI, enabling modular architecture, CI/CD automation, and boosting crash-free rates from 94% → 99% with faster release cycles.
API Modernization for FinTech
Revamped settlement & reconciliation APIs with automated data handling, multi-gateway integrations, and sub-5-second execution using AWS Lambda, Python, and Spring Boot.