AI agent, RAG and LLM development by senior engineers

Why teams choose Ryz for AI agent and LLM development

Agents that do real work

Our engineers build AI agents that answer calls, resolve support requests, review documents and score transactions in production. They know where agents break and how to design around it.

RAG built on your data

Retrieval only works when the data underneath is right. Our pods handle ingestion, chunking, embeddings, search and evaluation against your own documents, in your environment.

Framework fluent, not framework bound

Need a LangChain development team? Our engineers work with LangChain and similar frameworks, and with Anthropic and OpenAI models on AWS, Azure and Postgres. We pick tools that fit your stack.

Senior LLM engineers

Each pod comes from the top 1% of the tens of thousands of engineers we have interviewed, and works within one hour of US time zones.

How it works

• Talk. Tell us what you want to build, where it has to run and who owns it on your side. You get a scoped plan, a price and the names of the people who would do the work.
• Match. We assemble a dedicated team scoped to your stack and your agent or RAG use case. A typical pod is about seven senior engineers, including a tech lead, an ML engineer and backend engineers, working as one team.
• Embed. The pod works inside your cloud, your repos and your CI. Same standups as your team, with weekly demos of working software.
• Grow. Add people and disciplines as the scope grows, or hand the whole system over to your team when it is done.

Proof in production

Our teams build AI that runs in production, not pilots. Client names stay private, the numbers do not:

• AI fraud detection for a global fleet company: $5.94M in confirmed fraud, 244K+ invoices scored, under 30 seconds per invoice, validated by the client's fraud team.
• AI marketing compliance for a global capital management firm: 8,000+ documents, review cut from days to hours.
• AI voice platform with 1M+ outbound calls, from cold lead to qualified handoff.
• AI driver support agent handling 218K requests a year in three languages, at any hour.

Ryz is trusted by Fortune 500 engineering teams, and only the top 1% of the tens of thousands of engineers we have interviewed make it onto a Ryz team.

Questions

How much does LLM or RAG development cost?

Custom quote, scoped per team. Pricing depends on the pod size, the seniority mix and the scope of the system. After the first conversation you get a scoped plan, a price and the names of the people who would do the work.

How does contracting work, and who owns the prompts and code?

You sign one contract with Ryz. Our engineers work with us as independent contractors, and we handle paying them. Everything lives in your cloud and your repos, so you own it, and we can hand it all over to your team when it is done.

Will they work our hours?

Yes. Our engineers are based in Latin America and work within one hour of US time zones, including New York hours. Code review, questions and decisions happen the same day, in the same meetings as the rest of your team.

How quickly can you start on our agent or RAG project?

It depends on the roles, the seniority and how many people you need. On the first call we look at your requirements and give you a realistic plan with named people, not a generic promise.