Azure OpenAI
Build drafting, summarization, extraction, and conversational features into custom applications, with reviewed model deployments and access policies.
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Azure AI
Build AI into your organization’s applications.
Azure provides services for language, search, speech, vision, and AI application development. Lambda Link connects these capabilities to approved company information and practical business needs.
Models and a platform for delivery
Azure OpenAI provides access to OpenAI models through Microsoft’s Azure platform. Microsoft Foundry, formerly Azure AI Foundry, brings models, agents, development tools, evaluation, and monitoring into a shared platform for building AI experiences.
Microsoft Foundry
Develop and evaluate agents and models, trace behavior, and manage deployments. Choose the service configuration around the application’s requirements.
Search, speech, and vision
Combine specialized services to give an application the capabilities it needs.
- Azure AI Search: index approved content and retrieve relevant passages for grounded answers. Design document authorization and security filtering explicitly.
- Speech AI: use speech-to-text and text-to-speech for supported transcription and voice interfaces.
- Vision AI: use supported image analysis and text extraction capabilities to help process visual information.
Availability, supported features, deployment regions, and costs vary by service and model. We confirm the appropriate options during solution design.
Company data with deliberate boundaries
Lambda Link prepares sources, tests retrieval, and connects governed company data to the application. We plan identity, network access, retention, and logging, and evaluate answer quality before deployment.
- Ground responses in approved information with visible source references.
- Enforce access control at retrieval and action boundaries.
- Manage AI governance, operational cost, and human review alongside the application.
Azure AI: common questions
When should we build a custom Azure AI application?
A custom application can fit a specialized interface, retrieval model, integration, or operating requirement. We compare that need with packaged Copilot options before choosing services, models, and a delivery approach.
How is company information protected in AI search?
We explicitly design authorization for indexed documents and retrieval, protect service identities, and test access with different user roles. Source permissions need to be represented and enforced in the chosen architecture.
Discuss your next project
Tell us about your systems, priorities, and timeline. We will help define the next step.