“They delivered our Flutter app for iOS and Android in 14 weeks, exactly on the quoted budget. App Store rating sits at 4.8 and the weekly sprint demos meant there was never a single surprise.”
AI Solutions
AI Model Deployment & MLOps Services
Secure deployment and lifecycle control for production AI models.
We operationalize AI with CI/CD for models, automated retraining triggers, drift detection, A/B testing, and monitoring dashboards — so your models stay accurate, cost-efficient, and compliant after launch.
What We Deliver
End-to-End AI Model Deployment & MLOps Services
- Model CI/CD pipelines
- Drift & performance monitoring
- Automated retraining jobs
- A/B testing infrastructure
- GPU cluster management
- Cost & latency dashboards
Why Choose Devlex
Business Outcomes That Matter
✓Reliable production AI uptime
✓Catch model degradation early
✓Controlled rollout of updates
✓Lower cloud GPU waste
Technologies
Tools & Stack We Use
We pick the right technology for your goals — not the trendiest framework.
- MLflow
- Kubeflow
- Docker
- Kubernetes
- Prometheus
- AWS SageMaker
Our Approach
- Discover — Understand goals & constraints
- Design — Architecture & UX blueprint
- Build — Agile sprints with weekly demos
- Launch — Deploy, test & support
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0Projects Delivered
0Global Clients
0In-house Experts
0Countries Served
0Client Retention
“We hired a dedicated team of five from Devlex to build our property management portal, and eighteen months later they still feel like our own employees. Releases ship every two weeks and platform uptime has held at 99.95%.”
“Devlex built an AI-powered quoting engine that cut our sales team's turnaround from two days to twenty minutes. They handled the LLM integration, the guardrails, and the training — and it actually works in production, not just in demos.”
Ready to start your ai model deployment & mlops services project?
Get a free consultation and a detailed project estimate within 24 hours.