
CodeWheel AI
Your AI product needs a platform, not just an app.
Overview
About CodeWheel AI
CodeWheel AI builds production-grade AI platforms for companies that need enterprise architecture - not just an app. I design, build, and operate full-stack AI products: RAG pipelines, agent systems, identity platforms, billing infrastructure, security operations, and observability - unified under one engineering workflow.
What makes this different: Instead of juggling agencies or freelancers, you get an embedded senior engineer who handles strategy, UX, AI, security, billing, and growth in the same loop. That means:
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AI dashboards with streaming inference and real-time assistants
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Production RAG pipelines with retrieval validation, action verification, and regression testing
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Identity and billing systems with Clerk, Stripe, SAML/SCIM, and usage metering
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Security-first infrastructure with zero-trust logic, penetration testing, and tenant isolation
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Agent-led orchestration with MCP integrations and tool execution
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Observability systems with Vercel, Postgres, analytics, and LLM routing across your stack: Stripe, Clerk, Vercel, Cloudflare, AWS, RunPod, OpenAI, Anthropic, Docker, Redis, Next.js, Rails, and production-tested patterns across the AI ecosystem
Who I work with: Technical founders, VPs of Engineering, and product leaders building regulated AI products, enterprise SaaS platforms, or venture-backed web applications that need to ship fast without accumulating technical debt.
How I work: I deploy complete platform layers - not isolated features - so you see how RAG + security + observability fit together from day one. Security, testing, and compliance ship with every release, not bolted on later.
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Focus
Service Focus of CodeWheel AI
How the team's effort is distributed across services.
Industries Focus
Where we are
Locations (1)
Offices where CodeWheel AI operates.