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Nous découvrons vos objectifs, vos défis et votre paysage technique. Aucune obligation – juste un échange ouvert.
Ingénierie de plateforme d'IA en tant que service
Créer, déployer et faire évoluer l'IA de productionIA de production sans organisation de plateforme
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 AI Foundry—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 + AI Foundry—agents, RAG & inference, governed and metered. Linz · Europe.
OpenAI·How ChatGPT adoption has expandedMicrosoft Azure·Meet Brain: The AI system behind Azure reliabilityAWS·Upgrade Amazon EKS clusters with confidence using Kubernetes version rollbacksKubernetes·Open source maintainership in the age of AIClaude·Giving admins more visibility and control over Claude spendOpenAI·Inside Genebench-ProMicrosoft Azure·Proving application resilience on Azure with Chaos StudioAWS·Accelerate your infrastructure deployments by up to 4x with AWS CloudFormation Express modeKubernetes·Introducing the Cluster API plugin for HeadlampClaude·Getting started with loopsOpenAI·Introducing GeneBench-ProMicrosoft Azure·Azure IaaS: How to design, build, and optimize cloud infrastructure for long-term cost efficiencyAWS·Amazon EC2 C9g and C9gd instances powered by AWS Graviton5 processors are now availableKubernetes·Inspect Volcano workloads faster with HeadlampClaude·Claude in Microsoft Foundry is now generally availableOpenAI·Core dump epidemiology: fixing an 18-year-old bugMicrosoft Azure·Claude in Microsoft Foundry is now generally availableAWS·Automate public TLS certificate issuance with ACME support in AWS Certificate ManagerKubernetes·See your serverless: introducing the Headlamp plugin for KnativeClaude·Introducing the Claude apps gateway for Amazon Bedrock and Google CloudOpenAI·Mapping Europe’s AI Workforce OpportunityMicrosoft Azure·The 2026 Agent Confidence Index: Where 300 builders see real momentumAWS·AWS Weekly Roundup: Agentic CX designer for Amazon Connect Customer, EC2 AMI Watermarks, Open Governance for MySQL, and more (June 29, 2026)Kubernetes·Spotlight on WG Device ManagementClaude·Agent identity in Claude Tag: a new access model for autonomous, team-wide AIOpenAI·HP Inc. launches Frontier strategic partnership with OpenAIMicrosoft Azure·Accelerate modern Linux workloads with Azure FilesAWS·Run isolated sandboxes with full lifecycle control: AWS Lambda introduces MicroVMsKubernetes·Spotlight on SIG StorageClaude·Building effective human-agent teamsOpenAI·Previewing GPT-5.6 Sol: a next-generation modelMicrosoft Azure·The performance dividend: Optimizing PostgreSQL on Azure directly in Visual Studio CodeAWS·AWS Weekly Roundup: NY Summit recap, Local Zone in Hanoi, Grok 4.3 in Bedrock, price reductions, and more (June 22, 2026)Kubernetes·From Kubernetes Dashboard to Headlamp: Understanding the TransitionClaude·The full Claude Desktop experience on AWS, Google Cloud, and Microsoft FoundryOpenAI·How agents are transforming workMicrosoft Azure·From insight to action: The next phase of agentic cloud operationsAWS·Announcing Amazon EC2 G7 instances accelerated by NVIDIA RTX PRO 4500 Blackwell Server Edition GPUsKubernetes·Reconciling the Past: Correcting Records for Unfixed Kubernetes CVEsClaude·Centrally manage authorization for MCP connectorsOpenAI·OpenAI and Broadcom unveil LLM-optimized inference chipMicrosoft Azure·Modernize your data with Azure Storage: Plan and migrate with confidenceAWS·Amazon ECS introduces new high-resolution metrics for faster service auto scalingKubernetes·Announcing etcd 3.7.0-beta.0Claude·Steering Claude Code: CLAUDE.md files, skills, hooks, rules, subagents and moreOpenAI·Helping build shared standards for advanced AIMicrosoft Azure·3 things leaders need to know from Microsoft Build 2026AWS·Top announcements of the AWS Summit in New York, 2026Kubernetes·Kubernetes v1.36: New Metric for Route Sync in the Cloud Controller ManagerClaude·Claude Code now supports artifactsOpenAI·How ChatGPT adoption has expandedMicrosoft Azure·Meet Brain: The AI system behind Azure reliabilityAWS·Upgrade Amazon EKS clusters with confidence using Kubernetes version rollbacksKubernetes·Open source maintainership in the age of AIClaude·Giving admins more visibility and control over Claude spendOpenAI·Inside Genebench-ProMicrosoft Azure·Proving application resilience on Azure with Chaos StudioAWS·Accelerate your infrastructure deployments by up to 4x with AWS CloudFormation Express modeKubernetes·Introducing the Cluster API plugin for HeadlampClaude·Getting started with loopsOpenAI·Introducing GeneBench-ProMicrosoft Azure·Azure IaaS: How to design, build, and optimize cloud infrastructure for long-term cost efficiencyAWS·Amazon EC2 C9g and C9gd instances powered by AWS Graviton5 processors are now availableKubernetes·Inspect Volcano workloads faster with HeadlampClaude·Claude in Microsoft Foundry is now generally availableOpenAI·Core dump epidemiology: fixing an 18-year-old bugMicrosoft Azure·Claude in Microsoft Foundry is now generally availableAWS·Automate public TLS certificate issuance with ACME support in AWS Certificate ManagerKubernetes·See your serverless: introducing the Headlamp plugin for KnativeClaude·Introducing the Claude apps gateway for Amazon Bedrock and Google CloudOpenAI·Mapping Europe’s AI Workforce OpportunityMicrosoft Azure·The 2026 Agent Confidence Index: Where 300 builders see real momentumAWS·AWS Weekly Roundup: Agentic CX designer for Amazon Connect Customer, EC2 AMI Watermarks, Open Governance for MySQL, and more (June 29, 2026)Kubernetes·Spotlight on WG Device ManagementClaude·Agent identity in Claude Tag: a new access model for autonomous, team-wide AIOpenAI·HP Inc. launches Frontier strategic partnership with OpenAIMicrosoft Azure·Accelerate modern Linux workloads with Azure FilesAWS·Run isolated sandboxes with full lifecycle control: AWS Lambda introduces MicroVMsKubernetes·Spotlight on SIG StorageClaude·Building effective human-agent teamsOpenAI·Previewing GPT-5.6 Sol: a next-generation modelMicrosoft Azure·The performance dividend: Optimizing PostgreSQL on Azure directly in Visual Studio CodeAWS·AWS Weekly Roundup: NY Summit recap, Local Zone in Hanoi, Grok 4.3 in Bedrock, price reductions, and more (June 22, 2026)Kubernetes·From Kubernetes Dashboard to Headlamp: Understanding the TransitionClaude·The full Claude Desktop experience on AWS, Google Cloud, and Microsoft FoundryOpenAI·How agents are transforming workMicrosoft Azure·From insight to action: The next phase of agentic cloud operationsAWS·Announcing Amazon EC2 G7 instances accelerated by NVIDIA RTX PRO 4500 Blackwell Server Edition GPUsKubernetes·Reconciling the Past: Correcting Records for Unfixed Kubernetes CVEsClaude·Centrally manage authorization for MCP connectorsOpenAI·OpenAI and Broadcom unveil LLM-optimized inference chipMicrosoft Azure·Modernize your data with Azure Storage: Plan and migrate with confidenceAWS·Amazon ECS introduces new high-resolution metrics for faster service auto scalingKubernetes·Announcing etcd 3.7.0-beta.0Claude·Steering Claude Code: CLAUDE.md files, skills, hooks, rules, subagents and moreOpenAI·Helping build shared standards for advanced AIMicrosoft Azure·3 things leaders need to know from Microsoft Build 2026AWS·Top announcements of the AWS Summit in New York, 2026Kubernetes·Kubernetes v1.36: New Metric for Route Sync in the Cloud Controller ManagerClaude·Claude Code now supports artifacts
CE QUE NOUS FAISONS
Conseils cloud, logiciels personnalisés et plateformes d'IA exploitées
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 AI Foundry surface so prompts, retrieval, observability, and billing stay aligned—from pilot through scale. En savoir plus sur nos services
SOLUTION
AI Foundry — the managed runtime behind our AI platform engineering as a service.
AI Foundry
cloudstrata AI Foundry
AI Foundry 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.
Vos équipes itèrent sur des invites et des ensembles de données ; nous exploitons le substrat partagé – les frontières d’identité, les pistes d’audit et les dépenses liées aux résultats – et non les expériences fantômes dispersées sur les ordinateurs portables.
À partir de 500 EUR par mois
- Concevoir des projets pilotes autour des tâches à accomplir – et non des références – puis fixer des portes d'évaluation avant d'élargir le rayon d'explosion
- Les agents et les connecteurs partagent les limites de location, de traçage et de débit afin que les incidents restent ennuyeux
- 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
- Les feuilles de route alignent les achats, la sécurité et les constructeurs – pas de vérité parallèle sur les feuilles de calcul
QUI NOUS SERVONS
Des clients qui nous font confiance.
Si votre feuille de route mentionne des agents autonomes, une base de connaissances ou des copilotes orientés client – mais que les tableaux d'effectifs omettent les ingénieurs de plate-forme dédiés – ce scénario a été rédigé en tenant compte de vos contraintes.
En savoir plus sur nos clients
COMMENT SE DÉROULENT LES FIANÇAILLES
De la découverte à la production – avec des étapes claires.
Chaque sprint expose des hypothèses plus précises sur la fidélité de la récupération, les enveloppes de latence et les enveloppes de coûts – et non l’optimisme ambigu de l’IA.
2
Présentation des solutions
We propose architectures tying embeddings stores, orchestration, observability, and procurement dashboards – not slideware disconnected from Terraform realities.
3
Proposition et planification
Portée, calendrier et conditions commerciales clairs. Nous nous alignons sur les jalons avant de commencer.
4
Mise en œuvre
Engineers pair-program integrations, CI/CD lanes, and LLMOps safeguards – with demos rooted in logged prompts and retrieval citations.
5
Prise en charge et itération
Nous restons à vos côtés : accompagnement au lancement, optimisation et amélioration continue.
NOTES DE TERRAIN
Signaux provenant de la périphérie des plateformes d’IA.
Essais sur l'économie de la récupération, la posture d'inférence et le séquençage sobre du déploiement – pas de battage médiatique.
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Statut de la plateforme cloud
CONTACT
Entrer en contact
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