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AI that ships
to production.

We design, build, and operate AI agents, RAG pipelines, and Claude-powered systems that perform reliably at scale.

18+
Years delivering
production software
5+
Production AI
systems shipped
99.9%
Agent uptime
across deployments
<4 wk
Time to first
production deploy
01 — AI Agents

Autonomous agents that operate around the clock.

We build AI agents powered by Claude that handle real business workflows. Not chatbots — autonomous systems that classify, decide, execute, and report without human intervention.

  • Multi-step workflow automation with error recovery
  • Human-in-the-loop escalation for edge cases
  • Monitoring, cost controls, and token management
Learn more
support-agent —
14:32:07 UTC

14:32:01 New ticket received #TK-4891

14:32:01 ↳ Classifying intent...

14:32:02 Intent: billing_dispute conf: 0.97

14:32:02 ↳ Pulling account data...

14:32:03 CRM lookup customer: Acme Corp

14:32:03 Invoice #INV-2847 found $4,200

14:32:04 ↳ Generating response with context...

14:32:05 Response drafted 312 tokens

14:32:05 Email sent to customer

14:32:06 Ticket updated: resolved

14:32:07 ── Completed in 5.8s · Cost: $0.004 · Awaiting next task

Ingest & Chunk
10K documents → smart split → 847K chunks
Embed & Store
Vectorize → Pinecone index → 1536-dim embeddings
Retrieve
Semantic search → re-rank → top 5 chunks
Generate
Claude + context → cited answer → 0.94 accuracy
02 — RAG & Knowledge Systems

Your data, made AI-accessible.

We build retrieval-augmented generation pipelines that give your AI real knowledge from your data. Accurate, cited answers grounded in your documentation — not hallucinations.

  • Vector database architecture & semantic search
  • Citation tracking & source attribution
  • Accuracy evaluation & continuous improvement
Learn more
03 — Claude & LLM Integration

Deep Anthropic expertise.
Production-grade.

We don't just call APIs. We architect systems where Claude is a first-class component — with tool use, structured outputs, streaming, and multi-turn orchestration tuned for reliability and cost.

  • Tool use, function calling & structured outputs
  • Prompt engineering, evaluation & optimization
  • Cost management & token budgeting at scale
Learn more
agent.ts
// Claude with tool use — production config
const response = await client.messages.create({
  model: "claude-opus-4-6",
  max_tokens: 1024,
  tools: [{
    name: "query_database",
    description: "Query the product database",
    input_schema: { /* ... */ }
  }],
  messages: [{ role: "user", content: prompt }]
});

// Handle tool calls automatically
if (response.stop_reason === "tool_use") {
  const result = await executeTool(response);
  // → query_database({product: "PRD-2847"})
  // ✓ Response: 1.2s · Cost: $0.003
}
Trusted By

Trusted by teams building production AI.

Enterprise Client
SaaS Platform
HealthTech Co
FinTech Startup
Why Cloudstudio

Why clients
choose Cloudstudio.

Production-first engineering

Every system we build is architected for production from day one. Error handling, monitoring, cost controls, and graceful degradation — not bolted on later.

Full-stack ownership

Database, API, frontend, AI layer. End-to-end accountability. One team, zero handoff risk. No gaps between your AI and the systems it integrates with.

Claude-native expertise

Deep mastery of Anthropic's ecosystem. Claude Code, tool use, structured outputs, the Agent SDK — real orchestration, not wrapper APIs.

Structured methodology

Discovery, architecture, build, deploy, operate. Every engagement follows a proven methodology with documentation and knowledge transfer.

Orchestrator
Claude
Analyst
Claude
Engineer
Claude
Active
Support
Claude
DB Worker
Postgres
Test Runner
Automated
Multi-agent orchestration — each agent owns a domain, the orchestrator coordinates
AI engineering illustration

Let's talk about
your project.

Book a 30-minute discovery call. We'll assess your use case and give you a realistic timeline and architecture outline.

1

Book a call

30-minute technical discovery

2

Technical proposal

Architecture + timeline in 5 days

3

We start building

First deploy in under 4 weeks