Azure AIAzure AI Foundry
From prototype to production. The platform for building AI applications that actually ship.
When the Numbers Don't Line Up.
The prototype graveyard.
Demo Day Was Amazing. Then What?
Your data science team built a proof-of-concept in a Jupyter notebook. The demo impressed everyone. But turning that notebook into a production application requires different infrastructure, different security review, different skills. The prototype sits on a shelf while the business problem remains unsolved.
Model Chaos
Teams are experimenting with GPT-4, Claude, Llama, and fine-tuned models. Nobody knows what's deployed where. There's no central registry, no responsible AI review, no cost visibility. You're not building an AI capability — you're accumulating AI experiments.
AI That Doesn't Know Your Business
Foundation models know general knowledge. They don't know your customers, your products, or your procedures. When you ask about your specific situation, you get generic answers. The gap between AI capability and business utility is filled with custom engineering your team doesn't have time to build.
What AI Foundry Provides
Eliminate data silos, lower licensing costs, and empower executive teams with one source of truth.
Every Model, One Platform
Foundry Models includes Azure OpenAI (GPT-4, o1), Anthropic Claude, Meta Llama, Mistral, DeepSeek, and thousands more. Explore, compare, deploy — without separate vendor relationships. One catalog, one API, one billing.
OneLake Storage
Sync: ActiveWhat You Actually Get
End-to-end Microsoft Fabric implementation from architecture blueprinting to governance.
AI Application Architecture
We design your AI application — model selection, RAG strategy, agent orchestration, integration patterns. A blueprint that scales from POC to production without rebuilding.
RAG Implementation
We build retrieval-augmented generation applications grounded in your data. Document indexing, embedding strategies, response generation with citations. AI that answers from your knowledge, not general knowledge.
Agent Development
We build agents using Azure AI Agent Service. Conversation design, tool configuration, production deployment. Agents that automate real business processes, integrated with your systems.
Fine-Tuning When Needed
When foundation models need domain-specific accuracy, we fine-tune. Industry terminology, specific output formats, specialized tasks. Better results for your use case.
Fourteen Weeks to Production AI
A proven path. No endless discovery. Real deliverables, every phase.
10-Week Execution
Structured phased delivery with dedicated Microsoft Fabric architects. No endless discovery, just results.
Use Case Definition
We define objectives and success metrics. We select models. We design RAG strategy and data integration. We establish responsible AI requirements.
Proof of Concept
We deploy AI Foundry environment. We implement RAG with sample data. We build agent with core capabilities. We validate accuracy.
Production Development
We expand data integration. We add tool integrations. We implement observability. We configure security.
Deployment
We deploy to production. We tune performance and cost. We train operators. We establish improvement process.
Service Technician Co-Pilot
Medical device manufacturer. 400 field service technicians. 10,000+ product documents across PDFs, wikis, and training materials.
Technicians needed answers about specifications, installation, and troubleshooting. Documentation existed but was scattered and unsearchable. Finding the right information took 15+ minutes per question. First-time fix rates suffered.