Microsoft Foundry
Unified projects, models, agents, tools, evaluation, tracing and enterprise controls — formerly Azure AI Foundry and Azure AI Studio.
Microsoft Azure · Foundry · Enterprise AI
Numezis designs and implements enterprise AI on Azure — from the platform formerly known as Azure AI Foundry to Foundry Agent Service, Azure OpenAI, AI Search, Microsoft Fabric and Microsoft 365 integration. We connect the cloud control plane to real workflows, evidence and accountable operations.
Decision thesis
A Foundry project is easy to create. The enterprise decision is how models, agents, data, identities and actions share authority across Azure and Microsoft 365 without creating a second unmanaged control plane.
Product landscape
We select and connect the parts that the workflow requires, instead of treating the Microsoft catalog as a default architecture.
Unified projects, models, agents, tools, evaluation, tracing and enterprise controls — formerly Azure AI Foundry and Azure AI Studio.
Hosted agents, tools, knowledge and orchestration designed with explicit identity, memory, approval and observability boundaries.
Model access and grounded retrieval integrated with Azure networking, RBAC, private data and application services.
Business data and employee workflows connected only where permissions, lineage and human accountability remain visible.
What we deliver
Our senior advisory and engineering team owns the decisions that sit between cloud architecture, application delivery, security and measurable adoption.
Map subscriptions, regions, networking, data classes, projects, model access and workload boundaries.
TARGET ARCHITECTURE · DECISION RECORDBuild agents with tools, Azure AI Search or Foundry IQ knowledge, memory and deterministic workflow services.
AGENT SYSTEM · EVALUATION SETImplement Entra ID, managed identities, RBAC, private endpoints, Key Vault, policy, logging and incident paths.
CONTROL BASELINE · THREAT MODELInstrument quality, traces, latency, token economics, human review and workflow outcomes before scaling.
SLO · VALUE DASHBOARD · SCALE GATESArchitecture-first
The platform becomes dependable when project isolation, identity, network paths and operational evidence are designed as one system.
Human and workload identities, managed identity, least privilege and separation of duties.
Private connectivity, residency, encryption, source permissions and controlled egress.
Tools, MCP and APIs with scoped credentials, approval gates and reversible actions.
Evaluation, tracing, monitoring, cost allocation, release gates and incident ownership.
Engagement output
The output is a deployable system and an operating baseline, not a cloud product shortlist.
Relationship transparency
The Microsoft and Microsoft Foundry names identify technologies we evaluate and implement. They do not imply an announced partnership, certification or endorsement.
FAQ / Microsoft Foundry
Yes. Microsoft now uses Microsoft Foundry for the platform previously branded Azure AI Studio and Azure AI Foundry. We retain the former names in discovery and migration language because existing resources, teams and searches still use them.
Yes, when the workflow requires them. We separate employee productivity, custom agent and application-platform decisions, then design the identity, data and governance connections between Microsoft 365, Copilot Studio, Fabric and Azure.
This page describes implementation expertise, not an announced partnership or certification. Any formal relationship is stated only after public confirmation by the provider.
Prepare · Govern · Engineer · Realize
Bring us your Azure estate, target workflows and control constraints. We will frame the smallest production architecture that can earn the right to scale.
Discuss your cloud AI architecture