AI Infrastructure & MLOps
Your AI models work in development, but production deployment is unreliable. You need proper infrastructure but lack the in-house expertise.
What We Deliver
- Production-grade cloud infrastructure (AWS/GCP)
- Complete MLOps pipeline for model versioning & deployment
- Container orchestration and auto-scaling
- CI/CD pipelines for AI models
- Monitoring, alerting, and disaster recovery
- Team training and comprehensive documentation
Who This Is For
Companies moving AI from prototype to production, or rebuilding unstable AI systems.
Timeline: 12-14 weeks
Investment: Starting from SGD 90,000
*Government funding can reduce costs by up to 50%*
The approach
Phase 1: Discovery & Design (2-3 weeks)
We assess your current state, design the architecture, select technologies, and create a detailed implementation plan.
Deliverable: Architecture document + project plan
Phase 2: Implementation (6-10 weeks)
We build and configure infrastructure, implement systems, integrate with your existing tools, and conduct thorough testing.
Deliverable: Working system in staging environment
Phase 3: Production & Training (2-3 weeks)
We deploy to production, train your team (3-5 days of hands-on training), hand over documentation, and set up support processes.
Deliverable: Live production system + trained team
Phase 4: Stabilization (Optional, 2-4 weeks)
We provide performance tuning, additional training, extended knowledge transfer, and initial production support.
Deliverable: Optimized system + fully self-sufficient team
