Start a project
Distributed AI engineering team

We build AI agents that do real work.

Yoz is a remote-first team of engineers, designers and ML specialists. We design, ship and operate LLM-powered products and autonomous agents for companies that want results, not demos.

Start a project What we build
  • Remote-first since day one
  • Model-agnostic
  • Prototype in weeks, not quarters

What we build

AI that ships to production, not to a slide deck.

We take an AI idea from a whiteboard sketch to a reliable product your team and customers use every day. Pick one piece, or let us own it end to end.

AI agents

Agents that research, triage, draft and take action inside your tools, with guardrails, human approvals and a full audit trail.

LLM applications

Copilots, chat assistants and AI features built into your web and mobile products, designed for real users rather than demos.

Knowledge & search

Retrieval systems (RAG) over your documents, tickets and databases that answer questions and cite their sources.

Workflow automation

Integrations that connect models to your CRM, ERP, help desk and internal APIs, so routine work runs on its own.

Evals & reliability

Evaluation suites, monitoring and cost and latency tuning, so your AI features stay accurate and affordable as usage grows.

Prototype sprints

A working prototype on your real data in a few weeks, so you can prove the value before committing to a full build.

How we work

From idea to production in four steps.

Short cycles, weekly demos and plain-language updates. You always know what is being built, why, and what it costs to run.

  1. 01

    Discover

    We map the workflow, the data and the success metric, and find where AI actually pays off.

    ~1 week
  2. 02

    Prototype

    A working slice on your real data, measured against the metric we agreed on.

    2–3 weeks
  3. 03

    Ship

    A production-grade build with auth, observability, evals, security review and docs.

    4–10 weeks
  4. 04

    Operate

    We monitor, measure and improve after launch, or hand everything over cleanly to your team.

    ongoing

Why distributed

One team, many time zones.

We hire senior people for their skill, not their postcode. Our engineers, designers and ML specialists work across the Americas and Europe, so your project moves forward around the clock and always has someone online during your working hours.

  • /01

    Small, accountable pods

    Every project gets a dedicated pod of two to five people and one lead who owns delivery from start to finish.

  • /02

    Async by default

    Written specs, recorded demos and decision logs. Fewer meetings, and nothing lost between time zones.

  • /03

    Human in the loop

    Agents act on their own where it is safe and ask for approval where it matters. You set the boundaries.

  • /04

    Your code, your data

    Everything lives in your repositories and your cloud. No black boxes, no lock-in, and a clean handover whenever you want it.

Stack

The right model for the job.

We are model-agnostic. We choose models and infrastructure for accuracy, latency, cost and privacy, and switch when something better comes along.

Models

ClaudeGPTGeminiLlamaMistralQwen

Agents & retrieval

MCPtool callingpgvectorevalstracing

Product & infra

TypeScriptPythonReactPostgresCloudflareAWSGCP

Let’s talk

Have a workflow that should run itself?

Tell us what you want to automate or build. We will come back with questions, a rough plan and an honest view of what AI can and cannot do for it.

Email us

hello@getyoz.lat