Azure OpenAI Service deploys GPT-4, GPT-4o, DALL-E, and Whisper within your Azure tenant — private endpoints, content filtering, data residency, and enterprise compliance (SOC 2, HIPAA, GDPR). The enterprise way to use OpenAI models. Xylity provides Azure OpenAI consulting and pre-qualified LLM specialists.
Azure OpenAI Service provides enterprise access to OpenAI's models (GPT-4, GPT-4o, DALL-E, Whisper) deployed within your Azure subscription. Unlike direct OpenAI API access, Azure OpenAI provides: private endpoint networking (data never leaves your VNET), content filtering (configurable safety policies), Entra ID authentication (no API keys), data processing agreements, and regional deployment (data residency compliance).
Enterprise Azure OpenAI requires: deployment management (model provisioning, PTU vs pay-as-you-go capacity), networking (private endpoints, VNET integration), security (content filtering policies, responsible AI configuration), RAG implementation (Azure AI Search vector index, embedding pipelines), and cost optimization (model selection by task complexity, caching, batching).
Consulting, implementation, and specialist talent for Azure OpenAI projects.
Enterprise apps on Azure OpenAI.
Retrieval-augmented generation.
Azure AI platform strategy.
Pre-qualified through consulting-led matching. 92% first-match acceptance.
Pre-qualified. 4.3-day avg.
Pre-qualified. 4.3-day avg.
Pre-qualified. 4.3-day avg.
Xylity provides Azure OpenAI consulting, implementation, and specialist talent. We cover strategy, architecture, development, and optimization — plus pre-qualified Azure OpenAI specialists deployed in 4.3 days average through 200+ delivery partners.
Yes. Pre-qualified through 4-stage consulting-led matching. 92% first-match acceptance rate. Senior to architect level.
Azure OpenAI integrates with multiple technologies. Our consulting-led approach selects the right combination for your requirements — technology-agnostic recommendations based on your data, team, and business goals.
Azure OpenAI consulting for enterprise LLM applications — GPT-4 deployment, RAG, and responsible AI.