AI engineering teams that ship to production
Dedicated AI pod teams and senior AI engineers who build inside your stack, in your time zone, from first prototype to systems that run every day.
By the Ryz Labs team · Updated October 2026
Ryz Labs gives you the people who build AI: dedicated AI pod teams that own a system end to end, or senior AI, ML and data engineers who embed in your existing team. Either way, the work happens in your cloud and your repos, and it ships to production.
Two ways to build AI with Ryz
AI pod teams
A dedicated team of senior engineers, typically about seven people including a tech lead, an ML engineer and backend engineers. The pod joins your repos, CI and standups, runs weekly demos and builds on your stack: AWS, Azure, GitHub, Postgres, and Anthropic and OpenAI models. When the work is done, the pod can hand the system over to your team. How AI pod teams work.
Embedded AI engineers
Senior engineers who join your team one or a few at a time, to add capacity or a skill you don't have yet. Popular roles:
- AI engineers
- LLM engineers
- Machine learning engineers
- MLOps engineers
- Data engineers
- Data scientists
- NLP engineers
- Computer vision engineers
- Prompt engineers
What we've built
- Fraud detection for a global fleet company: 244K+ invoices scored, under 30 seconds each, $5.94M in confirmed fraud, validated by the client's fraud team.
- Marketing compliance for a global capital management firm: 8,000+ documents, turnaround cut from days to hours.
- Voice platform: more than 1M outbound calls.
- Driver-support agent: conversations in three languages.
- Real-estate agent working 24/7.
Details in our case studies.
Why teams choose Ryz for AI
- Senior people only. Only the top 1% of the engineers we interview make it through our vetting process.
- Your time zone. Our engineers work within an hour of US time zones, so reviews and decisions happen the same day.
- Your stack, your code. Everything we build lives in your cloud and repos. You own it.
- Trusted by Fortune 500 engineering teams across industries, including financial services, logistics, real estate and software.
Compare your options
Weighing providers? Read our guides to companies to hire AI engineers, AI pod providers, nearshore AI engineering teams, forward-deployed engineering firms and partners that take an AI pilot to production. Hearing the term "SI"? Here's what Super Intelligence means for your AI plans.
FAQ
Do you sell an AI product?
No. We provide the engineering teams that build AI systems inside your stack. You own the code and the infrastructure.
Should I hire individual AI engineers or a pod?
Add individual engineers when you have a team and a roadmap and need more senior hands. Choose a pod when you want one team to own a system from design to production.
Which models and clouds do you work with?
Whatever you run. Our teams commonly work with Anthropic and OpenAI models on AWS and Azure, with GitHub and Postgres.
How is it priced?
Custom quote, scoped per team. Before you sign, you get a plan, a price and the names of the people who would do the work.
Questions we didn't answer? Email info@ryzlabs.com.
Senior engineers in your time zone. AI pod teams that ship.
Tell us what you're building. You'll get a scoped plan, a price and the names of the people who would do the work.
Start a conversation →