Intelligent Cloud & AI Systems

From AI strategy to secure, production deployment.

We help organizations design, build, and operate AI systems that integrate with existing cloud and data platforms—engineered for scale, security, and compliance in regulated and operationally critical environments.

• AI & ML assessments, strategy, and rapid prototyping for business-critical use cases
• Production ML engineering, MLOps, monitoring, and model lifecycle management
• Secure model APIs and enterprise integration with existing systems
• Data, model, and AI security for regulated and privacy-sensitive environments
• Advanced analytics and decision intelligence for risk, operations, and performance
• Cloud-native ETL, data pipelines, and data lakes supporting AI-ready architectures

From concept or legacy software to resilient, secure cloud platforms.

We help organizations modernize, deploy, and operate cloud-native applications that are highly available, secure by design, and optimized for cost and performance—supporting public-facing services, internal systems, and operational platforms across regulated and asset-heavy environments.

• Cloud-native architecture and security reviews for new and existing applications
• Highly available application design and platform engineering
• Secure containerization and migration to Kubernetes-based platforms
• Application protection, WAF, and runtime security design
• Cloud service integration using event-driven and API-based architectures
• Application security testing (SAST, SCA, DAST) and remediation
• Cost optimization, performance tuning, and reliability engineering