1
Discovery Meeting
We learn about your goals, challenges, and technical landscape. No obligation – just an open exchange.
AI platform engineering as a service
Build, deploy, and scale production AIProduction AI without a platform org
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·How Endava is redesigning software delivery around AI agentsMicrosoft Azure·AI alone won’t change your business. The system running it will.AWS·Improve your application resilience with Amazon Cognito multi-Region replicationKubernetes·From Kubernetes Dashboard to Headlamp: Understanding the TransitionClaude·Running an AI-native engineering orgOpenAI·Dreaming: Better memory for a more helpful ChatGPTMicrosoft Azure·Announcing Microsoft Discovery general availability and Microsoft Discovery app previewAWS·Get started with OpenAI GPT-5.5, GPT-5.4 models, and Codex on Amazon BedrockKubernetes·Reconciling the Past: Correcting Records for Unfixed Kubernetes CVEsClaude·Best practices for getting started with Claude CoworkOpenAI·Biodefense in the Intelligence AgeMicrosoft Azure·Microsoft Build 2026: Building agentic apps with Microsoft Fabric and Microsoft DatabasesAWS·AWS Weekly Roundup: Claude Opus 4.8 on AWS, Aurora MySQL with Kiro Powers, and more (June 1, 2026)Kubernetes·Announcing etcd 3.7.0-beta.0Claude·Lessons from building Claude Code: How we use skillsOpenAI·Introducing new capabilities to GPT-RosalindMicrosoft Azure·New Azure Cobalt 200 VMs deliver 50% performance improvement, fully optimized for modern agentic AI workloadsAWS·Introducing the next generation of AWS Resilience Hub for generative AI-based SRE resilience journeyKubernetes·Kubernetes v1.36: New Metric for Route Sync in the Cloud Controller ManagerClaude·How Anthropic enables self-service data analytics with ClaudeOpenAI·How Wasmer used Codex to build a Node.js runtime for the edgeMicrosoft Azure·Foundry IQ: Build smarter agents faster with unified knowledge and serverless retrievalAWS·Introducing the next generation of Amazon OpenSearch Serverless for building your agentic AI applicationsKubernetes·Kubernetes v1.36: Mixed Version Proxy Graduates to BetaClaude·A harness for every task: dynamic workflows in Claude CodeOpenAI·A blueprint for democratic governance of frontier AIMicrosoft Azure·A Developer’s Guide to Managing Models, Cost and Quality in Microsoft FoundryAWS·Meet Our Newest AWS Heroes – May 2026Kubernetes·Kubernetes v1.36: Deprecation and removal of Service ExternalIPsClaude·Introducing dynamic workflows in Claude CodeOpenAI·OpenAI public policy agendaMicrosoft Azure·Claude Opus 4.8 is now available in Microsoft FoundryAWS·AWS Weekly Roundup: AWS Local Zones in Istanbul, open-source ExtendDB, Kiro Web, and more (May 25, 2026)Kubernetes·Kubernetes v1.36: Advancing Workload-Aware SchedulingClaude·Zero Trust for AI agentsOpenAI·Travelers deploys AI-powered claims countrywide with OpenAIMicrosoft Azure·Powering multi-cluster workloads with seamless cross‑cluster networking for Azure Kubernetes Fleet ManagerAWS·AWS Weekly Roundup: AWS Transform at 1 year, Claude Platform on AWS, EC2 M3 Ultra Mac instances, and more (May 18, 2026)Kubernetes·Kubernetes v1.36: PSI Metrics for Kubernetes Graduates to GAClaude·How CodeRabbit used Claude to build an agent orchestration systemOpenAI·Codex for every role, tool, and workflowMicrosoft Azure·Azure NetApp Files for EDA workloads: From revolution to breakthrough at scaleAWS·Amazon Bedrock introduces new advanced prompt optimization and migration toolKubernetes·Kubernetes v1.36: Moving Volume Group Snapshots to GAClaude·Using LLMs to secure source codeOpenAI·Advancing youth safety and opportunity through global leadershipMicrosoft Azure·Azure IaaS: Deploy high-performance workloads with a system-level approachAWS·Amazon Redshift introduces AWS Graviton-based RG instances with an integrated data lake query engineKubernetes·Kubernetes v1.36: More Drivers, New Features, and the Next Era of DRAClaude·Code w/ Claude London 2026: Rethinking how we buildOpenAI·How Endava is redesigning software delivery around AI agentsMicrosoft Azure·AI alone won’t change your business. The system running it will.AWS·Improve your application resilience with Amazon Cognito multi-Region replicationKubernetes·From Kubernetes Dashboard to Headlamp: Understanding the TransitionClaude·Running an AI-native engineering orgOpenAI·Dreaming: Better memory for a more helpful ChatGPTMicrosoft Azure·Announcing Microsoft Discovery general availability and Microsoft Discovery app previewAWS·Get started with OpenAI GPT-5.5, GPT-5.4 models, and Codex on Amazon BedrockKubernetes·Reconciling the Past: Correcting Records for Unfixed Kubernetes CVEsClaude·Best practices for getting started with Claude CoworkOpenAI·Biodefense in the Intelligence AgeMicrosoft Azure·Microsoft Build 2026: Building agentic apps with Microsoft Fabric and Microsoft DatabasesAWS·AWS Weekly Roundup: Claude Opus 4.8 on AWS, Aurora MySQL with Kiro Powers, and more (June 1, 2026)Kubernetes·Announcing etcd 3.7.0-beta.0Claude·Lessons from building Claude Code: How we use skillsOpenAI·Introducing new capabilities to GPT-RosalindMicrosoft Azure·New Azure Cobalt 200 VMs deliver 50% performance improvement, fully optimized for modern agentic AI workloadsAWS·Introducing the next generation of AWS Resilience Hub for generative AI-based SRE resilience journeyKubernetes·Kubernetes v1.36: New Metric for Route Sync in the Cloud Controller ManagerClaude·How Anthropic enables self-service data analytics with ClaudeOpenAI·How Wasmer used Codex to build a Node.js runtime for the edgeMicrosoft Azure·Foundry IQ: Build smarter agents faster with unified knowledge and serverless retrievalAWS·Introducing the next generation of Amazon OpenSearch Serverless for building your agentic AI applicationsKubernetes·Kubernetes v1.36: Mixed Version Proxy Graduates to BetaClaude·A harness for every task: dynamic workflows in Claude CodeOpenAI·A blueprint for democratic governance of frontier AIMicrosoft Azure·A Developer’s Guide to Managing Models, Cost and Quality in Microsoft FoundryAWS·Meet Our Newest AWS Heroes – May 2026Kubernetes·Kubernetes v1.36: Deprecation and removal of Service ExternalIPsClaude·Introducing dynamic workflows in Claude CodeOpenAI·OpenAI public policy agendaMicrosoft Azure·Claude Opus 4.8 is now available in Microsoft FoundryAWS·AWS Weekly Roundup: AWS Local Zones in Istanbul, open-source ExtendDB, Kiro Web, and more (May 25, 2026)Kubernetes·Kubernetes v1.36: Advancing Workload-Aware SchedulingClaude·Zero Trust for AI agentsOpenAI·Travelers deploys AI-powered claims countrywide with OpenAIMicrosoft Azure·Powering multi-cluster workloads with seamless cross‑cluster networking for Azure Kubernetes Fleet ManagerAWS·AWS Weekly Roundup: AWS Transform at 1 year, Claude Platform on AWS, EC2 M3 Ultra Mac instances, and more (May 18, 2026)Kubernetes·Kubernetes v1.36: PSI Metrics for Kubernetes Graduates to GAClaude·How CodeRabbit used Claude to build an agent orchestration systemOpenAI·Codex for every role, tool, and workflowMicrosoft Azure·Azure NetApp Files for EDA workloads: From revolution to breakthrough at scaleAWS·Amazon Bedrock introduces new advanced prompt optimization and migration toolKubernetes·Kubernetes v1.36: Moving Volume Group Snapshots to GAClaude·Using LLMs to secure source codeOpenAI·Advancing youth safety and opportunity through global leadershipMicrosoft Azure·Azure IaaS: Deploy high-performance workloads with a system-level approachAWS·Amazon Redshift introduces AWS Graviton-based RG instances with an integrated data lake query engineKubernetes·Kubernetes v1.36: More Drivers, New Features, and the Next Era of DRAClaude·Code w/ Claude London 2026: Rethinking how we build
WHAT WE DO
Cloud advisory, custom software, and operated AI platforms
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
Clients that trust us.
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
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.
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.
AI
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Learn more- OpenAIHow Endava is redesigning software delivery around AI agents
- OpenShiftOpenShift AI: Running LLMs on Red Hat's Enterprise PlatformMarch 12, 2026
- KubernetesKubernetes and AI Workloads: Best Practices for 2026March 11, 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.
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