Frontier model access, governed
Conversational, reasoning, and embedding deployments behind one Azure AI Foundry account — the right model per workload, without a new cloud island each time.
Why Azure, why Soulax
Enterprises rarely struggle to get a first response out of a frontier model. They struggle to do it repeatedly and safely — supporting multiple model families behind one operational surface, evolving applications without rebuilding identity and secrets every sprint, keeping state durable, and catching expiring credentials before integrations fail silently.
That gap between prototype and platform is where our Azure practice sits.
Capabilities
Conversational, reasoning, and embedding deployments behind one Azure AI Foundry account — the right model per workload, without a new cloud island each time.
Container Apps, managed TLS, and identity-based service access. A clean application boundary that scales without carrying raw credentials.
PostgreSQL Flexible Server for durable state and Microsoft Fabric capacity beside the transactional stack — analytics fed by the platform, not bolted on.
Entra ID for identity, Key Vault for secrets, Container Registry under managed identity. Shared keys in code are designed out, not documented around.
Azure Monitor and Log Analytics alerting on the quiet failure modes — expiring app credentials, drifting quotas, degraded model endpoints.
Multi-step agents on Foundry and Container Apps, with tool access, state, and audit trails — so agents act on enterprise systems rather than answer questions about them.
Technology
Depth across the platform, not a single service. These are the components we design, deploy, and operate in client environments.
FE note: trim any service the delivery team has not actually implemented for a client. Remove this line before publishing.
Engagement offerings
A governed foundation before the first workload lands — subscription design, Entra and Key Vault patterns, Foundry account, network and monitoring baseline.
Typical duration: 4–6 weeks
A working multi-model workbench or agent platform on Container Apps — first-party API, durable state, secrets hygiene, and the operational overlay to keep it up.
Typical duration: 8–12 weeks
Move from fragmented reporting to a Fabric-anchored estate — ingestion, medallion structure, governance, and curated models your business teams actually query.
Typical duration: 10–16 weeks
Durations are placeholders — confirm against actual delivery history, then remove this line.
Azure in production
A governed generative AI platform Soulax designed and deployed on Azure. Multi-model access through AI Foundry, a first-party API on Container Apps, durable PostgreSQL state, Key Vault and registry under managed identity, Fabric analytics capacity, and automated monitoring for Entra credential expiry.
How we engage
Current estate, workload fit, governance gaps, and a costed target state.
Landing zone, identity model, data topology, and reference architecture.
Iterative delivery with infrastructure as code, CI/CD, and demoable increments.
Monitoring, alerting, cost review, and credential hygiene handed over or run by us.
Certifications
Verified depth across the platform, from data engineering to AI solution design.
Placeholder — publish only credentials the team currently holds.
Industries
Our Azure work concentrates where operational data and physical assets meet.
Differentiation
We treat credential expiry, durable state, and observability as day-one requirements rather than hardening backlog.
Our platforms run against pallets, sensors, and vehicles — not abstract datasets. We know what breaks on a warehouse floor.
Architects who stay through operate, not a pyramid that thins out after design sign-off. We will also tell you when Azure is the wrong answer.
From landing zone design and model integration to analytics and ongoing support, we guide each step of your Azure journey.