1
ディスカバリーミーティング
私たちはお客様の目標、課題、技術的な状況について学びます。義務はありません。ただオープンな交換です。
AIプラットフォームエンジニアリング・アズ・サービス
本番環境 AI を構築、デプロイ、拡張するプラットフォーム組織を使用しない本番環境 AI
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
私たちがやっていること
クラウド アドバイザリー、カスタム ソフトウェア、運用 AI プラットフォーム
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. 当社のサービスについて詳しく見る
解決
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.
チームはプロンプトとデータセットを反復処理します。私たちは、ラップトップに散在する実験をシャドーイングするのではなく、共有基盤 (ID 境界、監査証跡、結果に結びついた支出) を運用します。
月額500ユーロから
- ベンチマークではなく、やるべき仕事を中心にパイロットを設計し、爆発範囲を広げる前に評価ゲートを取り付けます
- エージェントとコネクタがテナンシー、トレース、レート制限を共有するため、インシデントは退屈なままになります
- 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
- ロードマップは調達、セキュリティ、建設業者を調整します – 並行するスプレッドシートの真実はありません
私たちが奉仕する相手
私たちを信頼してくださるクライアント様。
ロードマップに自律型エージェント、知識基盤、または顧客対応の副操縦士が記載されているが、従業員数のグラフでは専任のプラットフォーム エンジニアが省略されている場合、このストーリーラインは制約を組み込んで作成されています。
当社のクライアントについて詳しく知る
エンゲージメントの進行方法
発見から生産まで – 明確なマイルストーンがあります。
各スプリントでは、曖昧な AI の楽観主義ではなく、取得の忠実度、レイテンシー エンベロープ、コスト エンベロープに関するより明確な仮説が明らかになります。
2
ソリューションのプレゼンテーション
We propose architectures tying embeddings stores, orchestration, observability, and procurement dashboards – not slideware disconnected from Terraform realities.
3
提案・企画
範囲、スケジュール、商業条件を明確にします。開始する前にマイルストーンに合わせて調整します。
4
実装
Engineers pair-program integrations, CI/CD lanes, and LLMOps safeguards – with demos rooted in logged prompts and retrieval citations.
5
サポートと反復
私たちはサポート、最適化、継続的な改善をサポートします。
フィールドノート
AI プラットフォームのエッジからの信号。
誇大広告ではなく、検索の経済学、推論の姿勢、そして冷静なロールアウト シーケンスに関するエッセイ。
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.
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RAG for Enterprise: Building Production-Ready Retrieval Systems
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もっと詳しく知る- OpenAIHow ChatGPT adoption has expanded
- OpenShiftOpenShift AI: Running LLMs on Red Hat's Enterprise PlatformMarch 12, 2026
- KubernetesKubernetes and AI Workloads: Best Practices for 2026March 11, 2026
クラウドプラットフォームのステータス