AI & ML
We move enterprise AI from proof-of-concept to production. Cloudsa's AI/ML practice integrates large language models, builds retrieval and agentic systems, and delivers the infrastructure to operate them reliably at scale.
Capabilities
Integrate GPT-4, Claude, Mistral, and open-source models into enterprise workflows with prompt engineering, grounding, and safety guardrails.
Retrieval-augmented generation architectures over your proprietary data — chunking, embedding, vector search, and reranking.
Multi-step AI agents with tool use, memory, and orchestration using LangGraph, AutoGen, and custom frameworks.
Enterprise-grade Azure OpenAI Service configuration with private networking, RBAC, content filtering, and cost controls.
Model versioning, drift detection, A/B evaluation, and automated retraining pipelines on Azure ML and Databricks.
End-to-end AI product engineering — from problem definition and data strategy to productionised models and monitoring.
Years of delivery
Projects shipped
Platform uptime
Why Cloudsa
A decade of enterprise delivery, applied to your ai & ml challenge.
We build AI systems that work in production, not just in notebooks. Security, observability, and cost governance are built in from the start.
We understand the regulatory constraints of enterprise AI. Our deployments keep your data in your tenant, with full audit trails.
As an Azure-focused practice, we have deep experience deploying and governing Azure OpenAI at enterprise scale.
We start with the business problem, not the technology. If a simpler model or a rules-based system solves it better, we say so.
Let's discuss your requirements and map out a practical path to delivery.
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