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AI platform engineering as a service

70+ specialists · Linz HQ · Remote across Europe

Build, deploy, and scale production AIProduction AI without a platform org

Deploy governed AI agents in weeks — without hiring a platform team. cloudstrata combines strategic cloud advisory with AI Foundry, our managed platform: multi-tenant runtime, retrieval pipelines, usage metering, and EU-hosted infrastructure.Governed AI in weeks — without a platform team. Multi-tenant runtime, retrieval, and metering. Linz · Europe.

Create an AI Foundry accountExplore AI FoundryBook Discovery Call
OpenAI
Anthropic Claude
Microsoft Azure
Kubernetes
AWS
Google Gemini
xAI
Cloud Native Computing Foundation
Red Hat OpenShift
Google Cloud
OpenAI
Anthropic Claude
Microsoft Azure
Kubernetes
AWS
Google Gemini
xAI
Cloud Native Computing Foundation
Red Hat OpenShift
Google Cloud
Insight·OpenAI Reasoning Models: What o1 and o3 Mean for Enterprise AIProduct·AI Foundry – production AI runtime for governed agentsCustomer·Unternehmensdaten.at – legal data platform in productionInsight·ChatGPT API and Developer Platform: What's New for BuildersProduct·AI Foundry – governed agents, RAG, and metering built inInsight·RAG for Enterprise: Building Production-Ready Retrieval SystemsInsight·OpenAI Reasoning Models: What o1 and o3 Mean for Enterprise AIProduct·AI Foundry – production AI runtime for governed agentsCustomer·Unternehmensdaten.at – legal data platform in productionInsight·ChatGPT API and Developer Platform: What's New for BuildersProduct·AI Foundry – governed agents, RAG, and metering built inInsight·RAG for Enterprise: Building Production-Ready Retrieval Systems

WHAT WE DO

Cloud advisory, custom software, and operated AI platforms

Your roadmap should not depend on building an internal platform team. Under AI platform engineering as a service, we own the architecture, integrations, and operated AI Foundry surface so prompts, retrieval, observability, and billing stay aligned—from pilot through scale. Learn more about our services

Cloud PlatformsLearn more
Cloud ServicesLearn more
AI Platform EngineeringLearn more
Software DevelopmentLearn more
Managed InfrastructureLearn more
Quantitative FinanceLearn more
ObservabilityLearn more
StartupsLearn more
ProductsLearn more

WHO WE SERVE

Clients that trust us.

If your roadmap calls for agents, grounded knowledge, or customer-facing copilots — but your headcount plan has no room for a dedicated platform team — we built our offering for that constraint.

Learn more about our clients
Eviden — cloudstrata client
Google Cloud — cloudstrata client
BRZ — cloudstrata client
Allianz — cloudstrata client
A1 — cloudstrata client
3 Banken IT — cloudstrata client
Schrattenecker — cloudstrata client
Beneder — cloudstrata client
Atos — cloudstrata client
Kheepu — cloudstrata client
Varascale — cloudstrata client
Wako — cloudstrata client
Mevaia — cloudstrata client
MPW — cloudstrata client
Eviden — cloudstrata client
Google Cloud — cloudstrata client
BRZ — cloudstrata client
Allianz — cloudstrata client
A1 — cloudstrata client
3 Banken IT — cloudstrata client
Schrattenecker — cloudstrata client
Beneder — cloudstrata client
Atos — cloudstrata client
Kheepu — cloudstrata client
Varascale — cloudstrata client
Wako — cloudstrata client
Mevaia — cloudstrata client
MPW — cloudstrata client

Selected clients

Organizations we have delivered projects for

SOLUTION

AI Foundry — the managed runtime behind our AI platform engineering as a service.

AI Foundry

cloudstrata AI Foundry

AI Foundry bridges pilot demos and a dedicated platform team: multi-tenant workspaces, model routing, retrieval pipelines, evaluation hooks, and usage-based billing — ready when procurement asks real questions.

Your teams iterate on prompts and datasets; we operate the shared platform — identity boundaries, audit trails, and spend tied to outcomes — not ungoverned experiments scattered across laptops.

Create an accountExplore AI Foundry
  • Start with concrete use cases and clear success criteria — expand when results and governance are in place
  • Agents and integrations share tenancy, audit trails, and usage limits — for stable, auditable operations
  • Model and retrieval costs reported alongside business KPIs — finance and engineering read the same numbers
  • Managed SaaS posture: usage metering and quotas instead of surprise GPU invoices
  • Role-based access, secrets management, and tenant isolation sized for regulated industries
  • Roadmaps align procurement, security, and engineering — one shared plan, not conflicting priorities
Learn more about AI Foundry

PLATFORM

What procurement and security teams evaluate.

Multi-tenant agents, retrieval, metering, and governance on one managed surface — the same architecture we detail on the AI Foundry page.

Explore full platform

CloudstrataAI Foundry Platform

Workflows, models, integrations, and data – hosted on cloud infrastructure.

Design, run, and evaluate – with KPIs and spend in one view.

AI Foundry

AI Foundry

WORKFLOW · EXPERIENCE

Steer work through dashboards, KPIs, and APIs – clear for business and engineering.

  • Dashboards & KPIs
  • APIs & tools
  • Approvals & audit trail
  • Scheduled & triggered runs
  • Role-based access

AI · AUTOMATION

Models inside repeatable flows – with retrieval, safeguards, and traceable steps.

  • Chat surfaces
  • Embeddings & search
  • Retrieval (RAG)
  • Routing & safeguards
  • Evaluations

INTEGRATION · CONNECTIVITY

Connect events, partners, DevOps, and identity – in your existing toolchain.

  • Webhooks & events
  • SaaS connectors
  • Batch & streaming ingest
  • ITSM & DevOps
  • Identity & secrets

DATA · GOVERNANCE

Structured data, vector stores, and files – with clear access rules.

  • Relational databases
  • Vector & semantic stores
  • Object & file storage
  • Warehouse / lakehouse
  • Catalog & lineage

CLOUD · INFRASTRUCTURE

Hosted on AWS, Google Cloud, and Azure – without building the platform layer yourself.

  • AWS Amazon Web Services
  • Google Cloud
  • Microsoft Azure

Architecture diagram: cloudstrata AI Foundry at the centre with workflow, AI, integration, data, and cloud infrastructure.

AI Foundry
  • Kubernetes runtime
  • Tenant quotas
  • API control
  • GDPR-aware
WORKFLOW · EXPERIENCE
  1. Dashboards & KPIs
  2. APIs & tools
  3. Approvals & audit trail
  4. Scheduled & triggered runs
  5. Role-based access
AI · AUTOMATION
  • Chat surfaces
  • Embeddings & search
  • Retrieval (RAG)
  • Routing & safeguards
  • Evaluations
INTEGRATION · CONNECTIVITY
  • Webhooks & events
  • SaaS connectors
  • Batch & streaming ingest
  • ITSM & DevOps
  • Identity & secrets
DATA · GOVERNANCE
  • Relational databases
  • Vector & semantic stores
  • Object & file storage
  • Warehouse / lakehouse
  • Catalog & lineage
CLOUD · INFRASTRUCTURE
AWS Amazon Web Services; Google Cloud ; Microsoft Azure
What you achieve with AI Foundry.
  • Faster to production: Run agents and workflows without months of platform engineering.
  • Governance built in: Approvals, audit trails, and tenant isolation from day one.
  • Business and IT aligned: Shared workspaces instead of shadow AI on individual machines.
  • Costs under control: Usage, model spend, and quotas in one dashboard.
  • Regulatory confidence: GDPR-conscious, isolated tenants, traceable data flows.
  • Connected to your stack: APIs, connectors, and events – without replatforming.

BUILD VS. BUY

Why AI Foundry instead of building or bolting on?

Side-by-side for procurement and engineering leads comparing an in-house platform team, hyperscaler APIs, and cloudstrata's managed runtime.

CriterionIn-house platform teamAzure OpenAI / Databrickscloudstrata AI Foundry
Time to first production agent6–18 months hiring and buildingFast demos; slow governance fitWeeks on managed runtime
Governance & audit trailsYou design and operate everythingVaries by service; often stitched togetherApprovals, RBAC, and audit built in
Retrieval pipelines (RAG)Custom build per use caseBring your own orchestrationManaged connectors and citations
Cost visibilityInternal FinOps to buildUsage spread across invoicesMetering per agent and workspace
EU data residencyYour infrastructure choiceRegion-dependent configurationEU-hosted by default

Time to first production agent

In-house platform team
6–18 months hiring and building
Azure OpenAI / Databricks
Fast demos; slow governance fit
cloudstrata AI Foundry
Weeks on managed runtime

Governance & audit trails

In-house platform team
You design and operate everything
Azure OpenAI / Databricks
Varies by service; often stitched together
cloudstrata AI Foundry
Approvals, RBAC, and audit built in

Retrieval pipelines (RAG)

In-house platform team
Custom build per use case
Azure OpenAI / Databricks
Bring your own orchestration
cloudstrata AI Foundry
Managed connectors and citations

Cost visibility

In-house platform team
Internal FinOps to build
Azure OpenAI / Databricks
Usage spread across invoices
cloudstrata AI Foundry
Metering per agent and workspace

EU data residency

In-house platform team
Your infrastructure choice
Azure OpenAI / Databricks
Region-dependent configuration
cloudstrata AI Foundry
EU-hosted by default
See full platform details

HOW THE ENGAGEMENT RUNS

From discovery to production – with clear milestones.

Each sprint exposes sharper hypotheses about retrieval fidelity, latency envelopes, and cost envelopes – not ambiguous AI optimism.

Book a Discovery Call
1

Discovery Meeting

We learn about your goals, challenges, and technical landscape. No obligation – just an open exchange.

2

Solution Presentation

We propose architectures tying embeddings stores, orchestration, observability, and procurement dashboards – not slideware disconnected from Terraform realities.

3

Proposal & Planning

Clear scope, timeline, and commercial terms. We align on milestones before we start.

4

Implementation

Engineers pair-program integrations, CI/CD lanes, and LLMOps safeguards – with demos rooted in logged prompts and retrieval citations.

5

Support & Iteration

We stay with you: launch support, optimization, and continuous improvement.

FIELD NOTES

Signals from the edge of AI platforms.

Essays on retrieval economics, inference posture, and sober rollout sequencing – not hype reels.

View all insights
AI

OpenAI Reasoning Models: What o1 and o3 Mean for Enterprise AI

OpenAI's reasoning models (o1, o3) represent a leap in chain-of-thought capabilities. Learn how enterprises can leverage these models for complex problem-solving, code generation, and strategic decision support.

Learn more
AI

ChatGPT API and Developer Platform: What's New for Builders

The ChatGPT API continues to evolve with new models, fine-tuning options, and developer tools. Discover how to build production AI applications with the latest OpenAI platform capabilities.

Learn more
AI

RAG for Enterprise: Building Production-Ready Retrieval Systems

Retrieval Augmented Generation (RAG) is essential for grounding LLMs in your data. Learn best practices for building scalable, accurate RAG pipelines in enterprise environments.

Learn more

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CONTACT

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AI Platform Engineering as a Service | cloudstrata