AI platform architecture
Landing zones, networking, identity and compute for AI workloads on AWS, Azure or GCP, designed to scale from the first model to the fiftieth.
AI cloud architecture
The architecture that holds production AI up.
Corbel Labs helps teams take AI from a promising demo to a dependable system: cloud platforms, LLM and agent workloads, and the cost, security and reliability work that keeps them standing under real load.
Works across
- AWS
- Azure
- Google Cloud
- Kubernetes
- Terraform
- OpenAI & Anthropic APIs
- Open-weight models
01 — Services
Where we take the load
Senior, hands-on architecture work. No hand-offs to a junior bench.
LLM & agent systems
Retrieval, agents and tool use built for production: evaluation harnesses, guardrails, observability and fallbacks, not just a prompt and a prayer.
GPU & inference cost
Right-sizing, model routing, caching, batching and capacity planning so your unit economics hold up as usage grows.
MLOps & LLMOps
CI/CD for models and prompts, reproducible pipelines, versioning and rollout strategies your team can run without us.
Security & governance
Data boundaries, access control, audit trails and threat modeling for AI systems, mapped to the compliance regime you actually operate under.
Architecture review
An independent look at what you have and what you're planning, with a written assessment and a prioritized path forward.
02 — Approach
Built to be handed over
Every engagement ends with a system your team understands, owns and can extend.
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01
Assess
Understand the business goal, the current stack, the constraints and where the real risk sits.
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02
Design
A reference architecture with clear trade-offs, cost models and decision records, reviewed with your engineers.
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03
Build
Infrastructure as code, working pipelines and production-grade services, built alongside your team.
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04
Hand off
Runbooks, documentation and knowledge transfer, so the structure stands without us holding it.
03 — Engagements
Ways to work together
Architecture Review
A focused assessment of an existing or planned AI system. You get a written report, a risk register and a prioritized roadmap.
- Stakeholder & engineering interviews
- Cost, security & reliability review
- Target-state architecture
Build Engagement
Design and deliver a production platform or workload end to end, working inside your repos and alongside your team.
- Reference architecture & IaC
- Pipelines, evals & observability
- Documentation & handover
Fractional Architect
Ongoing senior guidance for teams that need an AI cloud architect on call but not full time.
- Design reviews & decision records
- Vendor & model selection
- Hiring & team uplift
04 — About
Why “Corbel”
A corbel is the bracket that juts from a wall to carry the weight above it. It isn't the part anyone photographs, but nothing stands without it.
Corbel Labs is an independent AI cloud architecture practice led by a senior AI cloud architect with deep experience designing, securing and operating AI workloads on the major cloud platforms. We work directly with engineering and product leaders, from early-stage teams shipping their first AI feature to enterprises bringing models into regulated production.
The work is the unglamorous, load-bearing kind: getting the architecture right so the interesting parts can stay up.
05 — Contact
Have something that needs to hold weight?
Tell us what you're building. We'll reply within one business day.
hello@corbellabs.dev