NeuroNautas Labs — AI agent engineering
Most AI projects never survive contact with production. Ours ship with evaluation frameworks — you see the accuracy metrics before going live, and keep seeing them after.
8+
AI agents shipped
6
industries served
3.4×
measured accuracy gain on a live client agent
2
languages — English & Spanish
Selected work
Every project is a real, working system. Client names shared on request.
ERP reporting platform
The problem
Every new report meant waiting on an engineer to hand-write complex database queries.
The solution
Analysts describe the report they need in plain words; the agent writes and runs the query for them.
The result
Accuracy grew from 0.24 to 0.81 on real test cases — measured before anyone relied on it.
Dominican fintech
The problem
Tracking Dominican and US markets meant analysts pulling data from many sources by hand, all day.
The solution
On the engineering team behind the platform, we architected a multi-agent system that plans and runs analyses across the firm's curated financial data.
The result
Real-time answers about market instruments, from a single conversation.
AI hiring platform · in-house product
The problem
Screening candidates means hours of reading CVs against every open position.
The solution
A platform that reads the documents and scores how well each candidate fits each role, guiding both sides through the review.
The result
A ranked shortlist in minutes instead of a pile of CVs.
Small & mid-size businesses
The problem
Small teams losing hours a day answering the same questions — schedules, prices, order status.
The solution
Assistants on WhatsApp and Telegram that answer, quote, and follow up, handing off to a human when it matters.
The result
One client's assistant handles ~30 conversations a day; staff step in only for the exceptions.
Fintech operations
The problem
The company's know-how lived in documents and people's heads — every process depended on whoever knew it.
The solution
A governed company 'Brain' plus role-specific agents — product, UX, engineering — that execute work with human approval on every critical action.
The result
Institutional knowledge that does the work, not just stores it.
Method
A million things are happening in AI, and it's genuinely hard to tell what's worth implementing. Our answer is boring and effective: measure everything.
We turn your real cases — questions, documents, conversations — into a benchmark the agent must pass. Your definition of correct, written down.
Before improving anything, we measure where the agent actually stands. No opinions, no vibes — a score.
Better tools, domain context, prompt rules — every change is re-evaluated against the dataset. Only the changes that move the score survive.
Agents go live with observability, verification guardrails, and confidence indicators. You keep seeing how it performs after launch, not just before.
Fig 01 — score across evals
SQL Agent · golden dataset · LangSmith
Real data from a client engagement. Every change measured; only the ones that moved the score survived.
0.24 → 0.81 — a 3.4× improvement, and a graph the client saw before the agent went live.
Services
For workflows that eat expensive hours: report and SQL generation, document processing, task orchestration. The agent takes the repetitive 80%; your team keeps the judgment calls.
Support, sales, and analysis assistants on WhatsApp, Telegram, or the web. Multi-branch knowledge bases, human handoff when it matters, and memory that survives the conversation.
Have an idea bigger than a single workflow? We design and build complete AI products — the interface, the backend, and the agents inside — from first sketch to production. One team, end to end.
Typical stack: LangGraph, LangSmith, OpenAI & Anthropic models, FastAPI, Next.js, PostgreSQL — deployed on Azure, Vercel, or your infrastructure.
Community
NeuroNautas started as an AI newsletter and community in the Dominican Republic. We run workshops across the country — and our founder won the 2024 Machine Learning Datathon.
Agentic workflows, context engineering, and live coding on a real production codebase.
Hands-on AI-assisted programming workshop for new developers, presented at ITLA.
AI fundamentals for a general audience — models, LLMs, and practical prompting.
Community partners
Fundación Enlata, IAvanza & JCI República Dominicana — bringing practical AI education to Dominican communities.
About
NeuroNautas Labs is an applied-AI engineering studio building intelligent systems across finance, enterprise software, and education. We specialize in conversational AI, multi-agent systems, and RAG architectures — with a stubborn focus on evals and monitoring, because in a world where a million AI things are happening at once, the only way to know something is worth shipping is to measure it.
Contact
Tell us about it — the messy version is fine. We usually reply within a day, with questions rather than a sales pitch.
Dominican Republic · Remote worldwide · English & Español
