Cloud/AI Solution architecture design and implementation
Upgrade legacy systems with intelligent capabilities
- Clear 12-18 month AI roadmap
- Target your key business objectives in the cloud
- Resource, timeline and budget planning
- Risk mitigation strategies
AI Proof of Concept implementations
From proof-of-concept to production
Turn your AI initiatives into business value. We handle the entire implementation lifecycle, from data preparation to model deployment and monitoring.
Specializations:
- Natural language processing
- Intelligent document processing
- Conversational AI and chatbots
- Predictive analytics and forecasting
- Computer vision applications
Cloud Migration & Modernisation
Leverage the full power of AWS and Azure services with architectures designed for performance, security, and cost optimisation. We design platforms that grow with your business.
Key Capabilities:
- Multi-cloud migration
- Security and governance frameworks
- Multi-cloud AI infrastructure design
- Data pipeline optimisation
- AI/MLOps implementation
DevSecOps Maturity assessment
DevOps and Security Excellence for AI & Cloud
Your Applications and AI models are only as good as your ability to develop, deploy, monitor, and iterate on them. We bring enterprise-grade DevOps methodologies and practices to your team, ensuring your ability to move seamlessly from development to production.
Infrastructure as Code (IaC) Mastery
Reproducible, scalable infrastructure every time
Manual infrastructure management is a massive bottleneck for developers and a big risk to your production environments. We implement Infrastructure as Code using your IaC language of choice, We have worked in them all! Terraform, Bicep, ARM templates, and AWS CloudFormation to ensure your environments are consistent, scalable, auditable, and rapidly deployable.
CI/CD for Cloud-Native Applications
From code commit to production in minutes, not days
We design and implement robust CI/CD pipelines that include security scanning, automated testing, and compliance checks—ensuring your applications meet enterprise standards while maintaining development velocity.
Key Pipeline Features:
- Multi-stage deployment strategies (dev/staging/prod)
- Automated security and compliance scanning
- Blue-green and canary deployments
- Infrastructure drift detection and remediation
- Comprehensive logging and monitoring integration
Why DevOps Matters for AI Success
- Cost Control: Automated resource management prevents cloud cost overruns
- Faster Time to Value: Automated pipelines reduce deployment time from weeks to hours
- Reduced Risk: Consistent, tested deployments eliminate configuration drift and human error.
- Scalability: Infrastructure that scales automatically with demand
- Compliance: Built-in governance and audit trails for regulated industries
Stop the scattered DevOps and AI experiments. We help you identify high-impact use cases, prioritise initiatives by ROI, and create a realistic implementation timeline that aligns with your business goals.
ATLAS - Cloud & AI Experts 