Harness the power of AI, ML, and GenAI to drive smarter decisions, fuel innovation, and accelerate your business growth.
At Code to Kloud, we go beyond generic AI/ML development—we create intelligent, results-driven Generative AI solutions that empower businesses to scale, innovate, and lead in their industries.
We focus on solving real-world business challengeswith AI/ML, not just deploying technology. Our solutions are designed to drive revenue, optimize processes, and create strategic market advantages.
Unlike off-the-shelf AI models, we develop GenAI solutions specifically tailored to your business needs, enhancing accuracy, performance, and user engagement with personalized outputs.
We ensure that all AI/ML solutions comply with industry regulations (GDPR, HIPAA, CCPA) and create governance frameworks to avoidAI bias, ensuring responsible and ethical decision-making.
Rather than relying on generic open-source AI, we develop and fine-tune proprietary AI/ML models and GenAI systems, providing our clients with a competitive edge through highly specialized solutions.
At Code to Kloud, we provide custom AI/ML solutions tailored to your business, not generic models. Our focus on innovation, ethical practices, and personalized training ensures better results and growth for your business.
We build custom AI and ML models that are specifically designed for your business operations, ensuring the most effective and precise outcomes.
We leverage Generative AI to create innovative, personalized solutions that go beyond traditional AI models, enabling advanced automation and creativity in your processes.
Our AI/ML solutions are developed with a strong focus on compliance and ethical governance, ensuring responsible AI usage across industries.
Harnessing cutting-edge artificial intelligence and machine learning tools to create intelligent solutions:
Our extensive portfolio of case studies showcases how we've partnered with businesses across industries to tackle complex challenges and deliver innovative web solutions. Each project reflects our commitment to excellence, leveraging cutting-edge technologies to build reliable, scalable, and efficient systems. Explore our success stories and discover how we can help you achieve your goals.
Implemented automated CI/CD pipeline using ArgoCD, Helm, and EKS to streamline development, testing, and deployment processes. Reduced manual effort by 80% and achieved 95% deployment success rate while ensuring security and operational readiness.
Designed and implemented a scalable, secure AWS-based architecture for a monolithic application with high availability, automated scaling, and seamless CI/CD integration. Achieved cost optimization while ensuring robust security and data protection.
Deployed scalable applications using Docker containers on AWS ECS with automated CloudFormation, enhanced security through AWS WAF and Secret Manager, and implemented content moderation using AWS AI services for robust cloud protection.
Implemented comprehensive DevSecOps practices after a major data breach, including private VPC setup, IAM policies with least privilege, vulnerability scanning with SonarQube and Trivy, and continuous threat detection with AWS GuardDuty.
Created streamlined automated deployment process for Python-based financial application using GitLab CI/CD, Docker, and AWS. Achieved zero-downtime deployments with 90% faster deployment process and improved cost-efficiency through AWS's pay-as-you-go model.
Deployed FusionPBX on Kubernetes with integrated Python-based AI for real-time scam call detection. Achieved 50% faster release cycles and 40% faster issue resolution while ensuring high availability and cost-efficient scalability.
Migrated SaaS application from VPS to AWS with modern cloud infrastructure featuring CI/CD, container orchestration, and comprehensive monitoring. Delivered significant cost savings, improved security, and enhanced performance through cloud-native architecture.
Implemented automated CI/CD pipeline using ArgoCD, Helm, and EKS to streamline development, testing, and deployment processes. Reduced manual effort by 80% and achieved 95% deployment success rate while ensuring security and operational readiness.
Designed and implemented a scalable, secure AWS-based architecture for a monolithic application with high availability, automated scaling, and seamless CI/CD integration. Achieved cost optimization while ensuring robust security and data protection.
Deployed scalable applications using Docker containers on AWS ECS with automated CloudFormation, enhanced security through AWS WAF and Secret Manager, and implemented content moderation using AWS AI services for robust cloud protection.
Implemented comprehensive DevSecOps practices after a major data breach, including private VPC setup, IAM policies with least privilege, vulnerability scanning with SonarQube and Trivy, and continuous threat detection with AWS GuardDuty.
Created streamlined automated deployment process for Python-based financial application using GitLab CI/CD, Docker, and AWS. Achieved zero-downtime deployments with 90% faster deployment process and improved cost-efficiency through AWS's pay-as-you-go model.
Deployed FusionPBX on Kubernetes with integrated Python-based AI for real-time scam call detection. Achieved 50% faster release cycles and 40% faster issue resolution while ensuring high availability and cost-efficient scalability.
Migrated SaaS application from VPS to AWS with modern cloud infrastructure featuring CI/CD, container orchestration, and comprehensive monitoring. Delivered significant cost savings, improved security, and enhanced performance through cloud-native architecture.