Multi-Agent AI Engineering

Production multi-agent AI,
built on your infrastructure.

We design and build production multi-agent systems for fintech and SaaS teams who want senior AI engineering without a 12-month hiring process. Cloud-agnostic orchestration, the right model for the job, your infrastructure — built and delivered by our senior engineering team in Brazil.

Discuss Your AI ChallengeSee What We Build
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vs. $500K+ for equivalent US contractors
$112K/yr team
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Progress waiting when you sign on — UTC−3 year-round, no DST
1–2 hrs ahead
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Pricing model
Fixed scope, always
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Data model
Your infra, your data
What We Build

What we ship
runs in production.

Three focused practice areas. Every engagement delivers deployed, documented software your team can maintain and extend — on your infrastructure, with your credentials.

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Technical AI Strategy and Architecture Review
For engineering leaders deciding where AI fits before committing budget. We assess your specific environment — stack, compliance constraints, team capacity — flag where ROI is real and where it isn't, and deliver a scoped implementation plan you can take to your board. If AI isn't the right answer, we'll tell you before either of us wastes time. Most assessments complete in 2–3 weeks.
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Autonomous Agent System Architecture
End-to-end design and implementation of multi-agent systems using LangGraph or equivalent cloud-agnostic orchestration frameworks, with your model provider of choice — Claude, Gemini, OpenAI, or open models. Built for production from day one: full LLM trace observability via Langfuse or Datadog, PII-safe data handling, and integration patterns your engineering team can own without us. Source code, documentation, a system your team understands. Typical engagement: 6–12 weeks.
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AI-Driven Operational Automation
We identify where autonomous agents eliminate manual operational overhead and build the system. Your infrastructure, your credentials. Multi-hour manual workflows reduced to minutes. Full trace visibility — Langfuse or Datadog, whichever fits your stack — so your team can debug, audit, and iterate. When we hand off, it's in production and your team knows how it works.
Mid-market
Focus — fintech and SaaS teams from 10 to 500 people
Ahead of ET
Brazil runs UTC−3 with no daylight saving — work starts before your day does
Fixed scope
Every engagement — budget committed before work begins
Your infra
Always — we build in your cloud, never ours
How We Work

A process designed for
real results.

Fixed scope. Fixed timeline. Built on your infrastructure. You know the cost, the end date, and what you own — before we write a line of code.

01
Understanding Your Environment
We spend 5–7 days mapping your stack, compliance requirements, and constraints — before we propose anything. We assess whether an AI system is actually the right answer. If it isn't, we'll tell you before either of us wastes time on a proposal.
02
Fixed-Scope Architecture Proposal
You receive a written proposal with a defined scope, a defined timeline, and a defined investment. Not an estimate. A commitment. Nothing moves forward until you're satisfied with every line of it.
03
Build in Your Cloud
We deploy to your AWS or GCP account, with your credentials. Your data stays in your environment. You own all code, models, and infrastructure from the first commit — everything lives in your account and runs without us.
04
Handoff Your Team Can Own
Production deployment with full documentation. We stay available after go-live — and we build systems your engineers can read, maintain, and extend without us. Retainer support available if you want it.
Our Posture

How we're built,
and why it matters.

We made a deliberate decision about where to build our engineering team. Senior Brazilian engineers — 5 to 8 years of production experience, multi-agent systems in real environments, B2+ written English. Brazil runs UTC−3 year-round with no daylight saving time, which means the team is 1–2 hours ahead of US East Coast. When your team opens Slack in the morning, work is already in progress.

The result: engineers who have shipped production AI to real users and can hold a deep technical conversation with your team at 2pm ET — integrated into your workflow from day one, not handed off through an account manager.

We take on a small number of clients at any given time. That's a deliberate constraint. It means the person who scopes your project is the same person designing your architecture — and it means we're accountable to the outcome, not just the statement of work.

We've built in regulated environments. PII handling and LLM trace observability — Langfuse or Datadog, whichever fits your compliance and infrastructure requirements — is standard practice, not an add-on. If your CTO asks about SOC 2 alignment or data residency, we have real answers.

Have that conversation →
Who We Are

A focused team.
Senior engineers. No layers.

Native AI was built for mid-market fintech and SaaS teams that need production AI built by people who've shipped it before. A US-based founder who handles architecture and client relationships directly, and senior Brazilian engineers with real production AI experience.

We're selective. The person you talk to in the first conversation is the same person designing your system architecture. No account manager, no handoff to a delivery team you never met. We take on only the clients we're confident we can genuinely help.

We work with teams that have hard problems and enough technical context to evaluate real answers. If that's you, the conversation is worth having.

Structure
Florida LLC
Engineering team
Senior Brazilian engineers, PJ contract, B2+ English
Stack
LangGraph · Claude · Gemini · OpenAI · Open Models · Python · AWS · Langfuse · Datadog
Timezone
Brasília Time (UTC−3, no DST) — 1–2 hrs ahead of US East, 2–3 hrs ahead of Central
Engagement model
Fixed scope only — no open-ended retainers
Contact

Let's figure out
if we're the right fit.

If you have an unfilled AI engineering role, a backlogged agent project, or you're weighing whether to build or hire — start here. We'll ask the right questions and give you a straight answer.

Emailmarlon@usenativeai.com
LinkedInlinkedin.com/company/usenativeai
Response timeWithin 1 business day
AvailabilityMon – Fri, 9am – 6pm ET