Engineering the Future of Enterprise AI.
Transform how your business operates with enterprise-grade AI, agentic automation, and intelligent decision systems.
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 AI Outcomes.
Real-world enterprise AI delivering predictive intelligence, optimization, and decision support across complex, data-rich business environments.
AI-Optimized Airport Gate Assignment
Designed and deployed AI-driven optimization models to automate airport gate assignments based on schedules, passenger flow, and operational constraints—reducing disruptions, improving turnaround efficiency, and enabling near real-time planning for airline operations.
AI-Powered Reputation & Sentiment Intelligence
Built NLP-driven AI models to analyze large volumes of unstructured customer feedback across channels—detecting sentiment, sarcasm, and intent to generate actionable reputation insights and improve engagement outcomes for hospitality brands.
Predictive Intelligence for Retail Decision-Making
Developed machine learning models to predict product and design performance using historical data, images, and text—enabling faster decision-making, improved forecast accuracy, and data-driven optimization of retail planning and merchandising.