Business-critical by default
Availability, backups, and access boundaries mirror how regulated SMEs actually ship – not hobby uptime tucked behind a chat UI.
AI PLATFORM ENGINEERING AS A SERVICE
Helping Businesses to Build, Deploy and Scale AI SystemsHelping businesses to build and deploy AI systems
AI platform engineering as a service is how we deliver production AI without asking you to hire a platform org. cloudstrata combines strategic cloud advisory with CAIP—the shared runtime we design, build, and operate: agents, RAG, inference routing, tenancy, guardrails, and metering on one managed surface.AI platform engineering as a service: advisory + CAIP—agents, RAG & inference, governed and metered. Linz · Europe.
OpenAI·Work with Codex from anywhereMicrosoft Azure·From commit to cloud: Powering what’s next for PostgreSQLAWS·Amazon Redshift introduces AWS Graviton-based RG instances with an integrated data lake query engineKubernetes·Kubernetes v1.36: Deprecation and removal of Service ExternalIPsClaude·How Claude Code works in large codebases: Best practices and where to startOpenAI·Helping ChatGPT better recognize context in sensitive conversationsMicrosoft Azure·Advancing enterprise AI: New SAP on Azure announcements from SAP Sapphire 2026AWS·AWS Weekly Roundup: Amazon Bedrock AgentCore payments, Agent Toolkit for AWS, and more (May 11, 2026)Kubernetes·Kubernetes v1.36: Advancing Workload-Aware SchedulingClaude·The founder's playbook: Building an AI-native startupOpenAI·Building a safe, effective sandbox to enable Codex on WindowsMicrosoft Azure·Red Hat Summit 2026: Platform modernization and AI on Microsoft Azure Red Hat OpenShiftAWS·The AWS MCP Server is now generally availableKubernetes·Kubernetes v1.36: PSI Metrics for Kubernetes Graduates to GAClaude·Best practices for computer and browser use with ClaudeOpenAI·Our response to the TanStack npm supply chain attackMicrosoft Azure·Build AI apps with Azure Cosmos DB: Key trends from Cosmos Conf 2026AWS·Modernize your workflows: Amazon WorkSpaces now gives AI agents their own desktop (preview)Kubernetes·Kubernetes v1.36: Moving Volume Group Snapshots to GAClaude·How Anthropic's cybersecurity team built a threat detection platform with Claude CodeOpenAI·How finance teams use CodexMicrosoft Azure·Scaling cloud and AI: Microsoft Azure’s commitment to Europe’s digital futureAWS·AWS Weekly Roundup: What’s Next with AWS 2026, Amazon Quick, OpenAI partnership, and more (May 4, 2026)Kubernetes·Kubernetes v1.36: More Drivers, New Features, and the Next Era of DRAClaude·Claude for the legal industryOpenAI·What Parameter Golf taught us about AI-assisted researchMicrosoft Azure·Azure IaaS: Defense in depth built on secure-by-design principlesAWS·Top announcements of the What’s Next with AWS, 2026Kubernetes·Kubernetes v1.36: Server-Side Sharded List and WatchClaude·Code w/ Claude SF 2026: Building on the AI exponentialOpenAI·AutoScout24 scales engineering with AI-powered workflowsMicrosoft Azure·Enforcing trust and transparency: Open-sourcing the Azure Integrated HSMAWS·AWS Weekly Roundup: Anthropic & Meta partnership, AWS Lambda S3 Files, Amazon Bedrock AgentCore CLI, and more (April 27, 2026)Kubernetes·Kubernetes v1.36: Declarative Validation Graduates to GAClaude·Introducing the Claude Platform on AWSOpenAI·How NVIDIA engineers and researchers build with CodexMicrosoft Azure·Microsoft named a Leader in the IDC MarketScape: Worldwide API Management 2026 Vendor AssessmentAWS·AWS Weekly Roundup: Claude Opus 4.7 in Amazon Bedrock, AWS Interconnect GA, and more (April 20, 2026)Kubernetes·Kubernetes v1.36: Admission Policies That Can't Be DeletedClaude·Agent view in Claude CodeOpenAI·How ChatGPT adoption broadened in early 2026Microsoft Azure·Microsoft Sovereign Private Cloud scales to thousands of nodes with Azure LocalAWS·Introducing Anthropic’s Claude Opus 4.7 model in Amazon BedrockKubernetes·Kubernetes v1.36: Pod-Level Resource Managers (Alpha)Claude·Collaborate with Claude across Excel, PowerPoint, Word and OutlookOpenAI·OpenAI Campus Network: Student club interest formMicrosoft Azure·OpenAI’s GPT-5.5 in Microsoft Foundry: Frontier intelligence on an enterprise ready platformAWS·AWS Interconnect is now generally available, with a new option to simplify last-mile connectivityKubernetes·Kubernetes v1.36: In-Place Vertical Scaling for Pod-Level Resources Graduates to BetaClaude·New in Claude Managed Agents: dreaming, outcomes, and multiagent orchestrationOpenAI·Work with Codex from anywhereMicrosoft Azure·From commit to cloud: Powering what’s next for PostgreSQLAWS·Amazon Redshift introduces AWS Graviton-based RG instances with an integrated data lake query engineKubernetes·Kubernetes v1.36: Deprecation and removal of Service ExternalIPsClaude·How Claude Code works in large codebases: Best practices and where to startOpenAI·Helping ChatGPT better recognize context in sensitive conversationsMicrosoft Azure·Advancing enterprise AI: New SAP on Azure announcements from SAP Sapphire 2026AWS·AWS Weekly Roundup: Amazon Bedrock AgentCore payments, Agent Toolkit for AWS, and more (May 11, 2026)Kubernetes·Kubernetes v1.36: Advancing Workload-Aware SchedulingClaude·The founder's playbook: Building an AI-native startupOpenAI·Building a safe, effective sandbox to enable Codex on WindowsMicrosoft Azure·Red Hat Summit 2026: Platform modernization and AI on Microsoft Azure Red Hat OpenShiftAWS·The AWS MCP Server is now generally availableKubernetes·Kubernetes v1.36: PSI Metrics for Kubernetes Graduates to GAClaude·Best practices for computer and browser use with ClaudeOpenAI·Our response to the TanStack npm supply chain attackMicrosoft Azure·Build AI apps with Azure Cosmos DB: Key trends from Cosmos Conf 2026AWS·Modernize your workflows: Amazon WorkSpaces now gives AI agents their own desktop (preview)Kubernetes·Kubernetes v1.36: Moving Volume Group Snapshots to GAClaude·How Anthropic's cybersecurity team built a threat detection platform with Claude CodeOpenAI·How finance teams use CodexMicrosoft Azure·Scaling cloud and AI: Microsoft Azure’s commitment to Europe’s digital futureAWS·AWS Weekly Roundup: What’s Next with AWS 2026, Amazon Quick, OpenAI partnership, and more (May 4, 2026)Kubernetes·Kubernetes v1.36: More Drivers, New Features, and the Next Era of DRAClaude·Claude for the legal industryOpenAI·What Parameter Golf taught us about AI-assisted researchMicrosoft Azure·Azure IaaS: Defense in depth built on secure-by-design principlesAWS·Top announcements of the What’s Next with AWS, 2026Kubernetes·Kubernetes v1.36: Server-Side Sharded List and WatchClaude·Code w/ Claude SF 2026: Building on the AI exponentialOpenAI·AutoScout24 scales engineering with AI-powered workflowsMicrosoft Azure·Enforcing trust and transparency: Open-sourcing the Azure Integrated HSMAWS·AWS Weekly Roundup: Anthropic & Meta partnership, AWS Lambda S3 Files, Amazon Bedrock AgentCore CLI, and more (April 27, 2026)Kubernetes·Kubernetes v1.36: Declarative Validation Graduates to GAClaude·Introducing the Claude Platform on AWSOpenAI·How NVIDIA engineers and researchers build with CodexMicrosoft Azure·Microsoft named a Leader in the IDC MarketScape: Worldwide API Management 2026 Vendor AssessmentAWS·AWS Weekly Roundup: Claude Opus 4.7 in Amazon Bedrock, AWS Interconnect GA, and more (April 20, 2026)Kubernetes·Kubernetes v1.36: Admission Policies That Can't Be DeletedClaude·Agent view in Claude CodeOpenAI·How ChatGPT adoption broadened in early 2026Microsoft Azure·Microsoft Sovereign Private Cloud scales to thousands of nodes with Azure LocalAWS·Introducing Anthropic’s Claude Opus 4.7 model in Amazon BedrockKubernetes·Kubernetes v1.36: Pod-Level Resource Managers (Alpha)Claude·Collaborate with Claude across Excel, PowerPoint, Word and OutlookOpenAI·OpenAI Campus Network: Student club interest formMicrosoft Azure·OpenAI’s GPT-5.5 in Microsoft Foundry: Frontier intelligence on an enterprise ready platformAWS·AWS Interconnect is now generally available, with a new option to simplify last-mile connectivityKubernetes·Kubernetes v1.36: In-Place Vertical Scaling for Pod-Level Resources Graduates to BetaClaude·New in Claude Managed Agents: dreaming, outcomes, and multiagent orchestration
WHAT WE DO
Cloud Advisory, Software Development and AI platform engineering as a Service
Your roadmap should not depend on standing up an internal platform guild. Under AI platform engineering as a service, we own the architecture, integrations, and operated CAIP surface so prompts, retrieval, observability, and billing stay aligned—from pilot through scale. Learn more about our services
SOLUTION
CAIP — the managed runtime behind our AI platform engineering as a service.
CAIP
Cloudstrata Artificial Intelligence Platform
CAIP is the slice between vibe-coded demos and a full platform hire: multi-tenant workspaces, tool routing for LLMs, retrieval pipelines, evaluation hooks, and Stripe-backed metering – ready when procurement asks real questions.
Your teams iterate on prompts and datasets; we operate the shared substrate – identity boundaries, audit trails, and spend tied to outcomes – not shadow experiments scattered across laptops.
From 500 EUR per month
- Design pilots around jobs-to-be-done – not benchmarks – then attach evaluation gates before widening blast radius
- Agents + connectors share tenancy, tracing, and rate limits so incidents stay boring
- Inference and embeddings workloads metered next to executive KPIs – finance reads the same chart engineering does
- Stripe-backed SaaS posture: predictable tiers instead of surprise GPU invoices
- RBAC, secrets posture, and isolation primitives sized for regulated narratives
- Roadmaps align procurement, security, and builders – no parallel spreadsheet truth
WHO WE SERVE
Ambitious SMEs, founders, and enterprise explorers.
If your roadmap mentions autonomous agents, knowledge grounding, or customer-facing copilots – but headcount charts omit dedicated platform engineers – this storyline was authored with your constraints baked in.
Learn more about our clients
WHY THIS MODEL WORKS
Built for operators – not slide decks.
Euro caliber engineers
Senior cloud and ML practitioners embed alongside your PMs – bringing IaC literacy, prompt tooling discipline, and review ethics without ballooning payroll.
Measured honesty
We translate retrieval latency, token spend, and quality regressions into language CFOs and CISOs can action alongside founders.
Three doors into the same story
Advisory-only sprints, build-heavy engagements, or CAIP-first pilots—the same AI platform engineering as a service model, at the tempo you need, without rewriting vendors later.
From thesis to trunk-ready workflows.
We obsess over narratives procurement can defend – not novelty demos detached from billing realities.
AI platform engineering as a service is the thread: an Austrian-founded advisory studio merging CFO-grade economics with ML-era tooling—embeddings catalogs, evaluation suites, progressive rollout controls—the scaffolding SMEs outsource instead of cloning hyperscaler staffing tables.
Learn more about us1.8M+Deployments
58.3MBuilds
2.4BCoffees
70+Partners & Freelancers
THE TEAM
Serious builders. Austria HQ. European mesh.
Principal engineers, ML practitioners, and strategists who translate embeddings economics into narratives CFOs fund – without insisting every SME replicate hyperscaler hiring ladders.
We draw on a network of 70+ contractors and freelancers – cloud architects, developers, and specialists across Europe. This enables maximum scalability: we ramp up teams when you need them and deliver at the pace your projects require.
AI Developers · Software Architects · Software Developers · DevSecOps Specialists · AI Business Strategists
AI FirstWe build with AI
Remote FirstDistributed across Europe
HOW THE ENGAGEMENT RUNS
Discovery → blueprint → shipped workloads.
Each sprint exposes sharper hypotheses about retrieval fidelity, latency envelopes, and cost envelopes – not ambiguous AI optimism.
Setup Discovery MeetingDiscovery Meeting
We learn about your goals, challenges, and technical landscape. No obligation – just an open exchange.
Solution Presentation
We propose architectures tying embeddings stores, orchestration, observability, and procurement dashboards – not slideware disconnected from Terraform realities.
Proposal & Planning
Clear scope, timeline, and commercial terms. We align on milestones before we start.
Implementation
Engineers pair-program integrations, CI/CD lanes, and LLMOps safeguards – with demos rooted in logged prompts and retrieval citations.
Support & Iteration
We stay with you: launch support, optimization, and continuous improvement.
CASE STUDIES
Latest case studies.
Our expertise in action
Booking Platform
Reservation Platform reservierungssystem.net
reservierungssystem.net is a cloud-based booking platform for sports clubs, fitness studios, and leisure facilities …
Learn moreDigital Platform
Legal Platform Unternehmensdaten.at
unternehmensdaten.at is a modern digital platform for quick, free access to company data from the Austrian business register …
Learn moreVOICES FROM PRODUCTION
Proof beats prototypes.
Teams pairing agents and retrieval pipelines with cloudstrata + CAIP.
Explore CAIPWe automated document processing in days, not months. CAIP's agents handle our invoices and contracts – no infrastructure to build, no compliance headaches.
The AI agents are production-ready from day one. We configured our support workflow in the dashboard and went live the same week.
Monthly subscription, no lock-in. We started with one agent, scaled to five. CAIP grows with us.
FIELD NOTES
Signals from the edge of AI platforms.
Essays on retrieval economics, inference posture, and sober rollout sequencing – not hype reels.
- AIOpenAI Reasoning Models: What o1 and o3 Mean for Enterprise AI
- AIChatGPT API and Developer Platform: What's New for Builders
- AIRAG for Enterprise: Building Production-Ready Retrieval Systems
- OpenAIWork with Codex from anywhere
- OpenShiftOpenShift AI: Running LLMs on Red Hat's Enterprise Platform
- KubernetesKubernetes and AI Workloads: Best Practices for 2026
Cloud Platform Status
CONTACT
Get in touch
Have a question or a project in mind? We would be glad to hear from you – send us a message or book a short call.
We aim to reply within one business day.