Time to first production use case
- In-house platform team
- 6–18 months of hiring and building
- Azure OpenAI / Databricks
- Fast model access; integration and operations are on you
- Cloudstrata AI Foundry
- Weeks — platform and building blocks already run
Linz, Austria · Remote worldwide
AI Cloud Platform Engineering as a Service
Build, deploy, and scale production AIProduction AI. Built and run by us.
We take AI from idea to production: architecture, software, and operations from one team. Our platform, Cloudstrata AI Foundry, runs EU-hosted on AWS, Azure, or Google Cloud — you get results without building a platform team.AI from idea to production — built and operated by one team. EU-hosted. Headquartered in Linz, delivering worldwide.
Insight·MCP Servers on AKS: Connecting Agents to Enterprise Tools SafelyProduct·Cloudstrata AI Foundry – production AI runtime for governed agentsProduct·Cloudstrata AI Foundry – governed agents, RAG, and metering built inCustomer·Unternehmensdaten.at – legal data platform in productionInsight·Azure AI Foundry Agent Service: From Pilot to Production RoutingInsight·OpenAI Responses API on Azure: Structured Outputs for Platform TeamsInsight·MCP Servers on AKS: Connecting Agents to Enterprise Tools SafelyProduct·Cloudstrata AI Foundry – production AI runtime for governed agentsProduct·Cloudstrata AI Foundry – governed agents, RAG, and metering built inCustomer·Unternehmensdaten.at – legal data platform in productionInsight·Azure AI Foundry Agent Service: From Pilot to Production RoutingInsight·OpenAI Responses API on Azure: Structured Outputs for Platform Teams
WHAT WE DO
Cloud advisory, custom software, and managed AI platforms
We design the architecture, build the software, and run it in production. One team owns the result — from the first use case to stable operations, with transparent costs and clean handovers. Learn more about our services
WHO WE SERVE
Clients that trust us.
Banks, insurers, telecom providers, the public sector, and fast-growing mid-sized companies work with us when AI and cloud have to perform in production — not just in a demo.
Learn more about our clients
Selected clients
Organizations we have delivered projects for
SOLUTION
Cloudstrata AI Foundry — the platform we build and operate for production AI.
Cloudstrata AI Foundry
Cloudstrata AI Foundry is our operated platform: one login, isolated tenants, and business applications with AI built into real workflows — from sales and projects to HR and finance.
Your team works in the applications. We run the platform: Kubernetes on AWS, Azure, or Google Cloud in EU regions, a separate database per application, clear roles, and a complete action log.
- Start with one concrete use case and measurable success criteria — expand once it delivers
- Every application runs as its own service with its own database — isolated, traceable, maintainable
- AI drafts, extracts, and matches; your people review and decide
- Tenant isolation, role-based access, and an action log for every step
- Operated on AWS, Azure, or Google Cloud with GitOps deployments and security scans
- One plan for business, security, and engineering — no conflicting priorities
PLATFORM
What procurement and security teams want to see.
Architecture, data flows, and operations of Cloudstrata AI Foundry at a glance — the same picture we walk through in every security review.
Explore full platformBUILD VS. BUY
Comparing in-house build, hyperscaler APIs, and managed Cloudstrata AI Foundry
In-house platform team, hyperscaler services, or Cloudstrata AI Foundry — compared on what actually decides time to production and risk.
| Criterion | In-house platform team | Azure OpenAI / Databricks | Cloudstrata AI Foundry |
|---|---|---|---|
| Time to first production use case | 6–18 months of hiring and building | Fast model access; integration and operations are on you | Weeks — platform and building blocks already run |
| Governance & traceability | You design and operate everything | Varies by service; often stitched together | Tenants, roles, and action log built in |
| Integration with existing systems | Custom build per system | Bring your own integration layer | Ready connectors via APIs, events, and imports |
| Operations & updates | Your own team on call | Shared responsibility — the app layer is yours | Operated by us: GitOps, scans, backups |
| EU data residency | Your infrastructure choice | Region-dependent configuration | EU regions by default |
Governance & traceability
- In-house platform team
- You design and operate everything
- Azure OpenAI / Databricks
- Varies by service; often stitched together
- Cloudstrata AI Foundry
- Tenants, roles, and action log built in
Integration with existing systems
- In-house platform team
- Custom build per system
- Azure OpenAI / Databricks
- Bring your own integration layer
- Cloudstrata AI Foundry
- Ready connectors via APIs, events, and imports
Operations & updates
- In-house platform team
- Your own team on call
- Azure OpenAI / Databricks
- Shared responsibility — the app layer is yours
- Cloudstrata AI Foundry
- Operated by us: GitOps, scans, backups
EU data residency
- In-house platform team
- Your infrastructure choice
- Azure OpenAI / Databricks
- Region-dependent configuration
- Cloudstrata AI Foundry
- EU regions by default
HOW THE ENGAGEMENT RUNS
From discovery to production – with clear milestones.
Every phase ends with a result you can verify: a decision, a plan, or software running in production.
- 01
Discovery call
We understand your goals, systems, and constraints — and tell you plainly whether and how we can help.
- 02
Solution design
We present an architecture that fits your infrastructure, security requirements, and budget — concrete enough to build.
- 03
Proposal & plan
Fixed scope, timeline, and commercial terms. Milestones are agreed before work starts.
- 04
Implementation
Our engineers build, integrate, and test — with regular demos on real data and automated deployments.
- 05
Operations & evolution
We run what we build: monitoring, updates, and continuous improvement after go-live.
FIELD NOTES
Practical notes on AI platforms.
What we learn in projects: architecture, operations, and the real costs of AI and cloud in production.
AI
MCP Servers on AKS: Connecting Agents to Enterprise Tools Safely
MCP Servers on AKS: scoped MCP servers, network isolation, and audit for tool-calling agents.
Learn more
AI
Azure AI Foundry Agent Service: From Pilot to Production Routing
Azure AI Foundry Agent Service: deployment slots, tool catalogs, and governance for Foundry agents.
Learn more
AI
OpenAI Responses API on Azure: Structured Outputs for Platform Teams
OpenAI Responses API on Azure: JSON schema enforcement, retries, and regression suites for agent APIs.
Learn more- KubernetesGPU Sharing on AKS with MIG: Density Without Noisy NeighborsOctober 7, 2026
- KubernetesKubernetes 1.34 Upgrade Playbook for AKS Platform TeamsOctober 6, 2026
- SecuritySigstore and Cosign on AKS: Signing Images Before They Reach ProdOctober 5, 2026
Cloud Platform Status
CONTACT
Let's talk about your project
Describe your use case. You get a concrete next step — not a sales pitch.
We reply within one business day.
Follow Cloudstrata on LinkedIn and Instagram to stay up to date with our work and openings.