AI Engineering Studio

We turn operations into intelligent systems.

AI agents, computer vision, and custom SaaS — engineered for production, not demos.

Shipped systems for market leaders

Estée Lauder AB InBev Vivo Telefônica Tradervue PointClickCare SureSwift Capital Abler KnowBe4
Engineering background

Experience behind Nodau.

Years shipping scalable SaaS, ML systems, and high-performance infrastructure across Brazilian and global products. That's the bar on every build.

Arthur / Co-founder · Software Engineer
KnowBe4 Senior Software Developer
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Gustavo / Co-founder · ML Engineer
Amaris Consulting Senior ML Engineer
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Vinicius / Co-founder · Software Engineer
Tradervue Senior Software Engineer
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Nodau combines product engineering, scalability, and modern software architecture, built on years of shipping production systems at real scale.

Most companies still run on manual work and disconnected tools — while the systems to automate them already exist.

We close that gap. Nodau builds the AI infrastructure, automation, and custom software that turn operational complexity into leverage — production systems, not prototypes.

What we build

Three practices. One studio.

From AI agents to backend infrastructure — the full stack of intelligent systems.

AI Engineering

AI agents and LLM systems wired into your real workflows — not sandboxed demos.

  • AI agents connected to your business workflows
  • RAG systems trained on your internal knowledge
  • LLM-powered internal platforms and copilots
  • Intelligent document processing and OCR pipelines
  • Semantic search and vector database systems
  • Multi-agent orchestration workflows

Machine Learning & Computer Vision

Deep learning that processes images, detects patterns, and automates inspection at scale.

  • Computer vision pipelines for operational automation
  • Deep learning for image analysis and classification
  • Fine-tuning and training models from scratch
  • OCR and intelligent form extraction
  • Predictive models and ML pipelines
  • MLflow, Airflow and ML experiment tracking

Software Engineering

Custom SaaS, internal platforms, and backend — built to scale from day one.

  • Custom SaaS and MVP development
  • Internal operational platforms and dashboards
  • API integrations, CRM, ERP, WhatsApp, payments
  • Workflow automation and process orchestration
  • Legacy system modernization
  • Cloud-native backend architecture
How we work

From problem to production in three phases.

Fast, structured, no cut corners — from discovery to delivery.

01

Discover

We map your workflows and define exactly what to build. No scope bloat.

02

Build

We engineer alongside your team, on real data and real requirements.

03

Ship & Scale

We deploy, validate, and hand off a system you fully own.

Selected work

Systems we've shipped.

Production systems across healthcare, fintech, marketplaces, and enterprise ops — each one killing a real bottleneck.

Also shipped by our founders individually

AI agents automating Zendesk support workflows for AB InBev across LATAM

GenAI agents automating Zendesk ticket workflows across LATAM for one of the world's largest beverage companies — FastAPI on Databricks.

↳ Zendesk workflows automated across multiple LATAM markets. Manual ticket handling reduced significantly.

Technologies used
Python · FastAPI LLM agents Databricks Microsoft Fabric CI/CD pipelines

MLOps infrastructure for ML model serving at Vivo Telefonica

MLOps for one of Brazil's largest telecoms — scalable model-serving APIs, time-series forecasting, and computer-vision pipelines.

↳ ML models promoted from research to production with reliable serving infrastructure and full lifecycle tracking.

Technologies used
Python · FastAPI MLflow · Airflow Docker · Cloud CI/CD Computer Vision Time series models

Enterprise platform engineering for Estée Lauder, deployed to Azure Kubernetes at global scale

Senior engineering on an enterprise platform for 100k+ monthly users — Ruby on Rails on Azure Kubernetes, under strict enterprise compliance.

↳ Enterprise-grade platform serving 100k+ global users. Features shipped to production under compliance and security requirements.

Technologies used
Ruby on Rails Azure Kubernetes CI/CD pipelines Enterprise security Multi-tenant infra

Financial analytics SaaS modernization for Tradervue, serving 200k+ active traders

Modernized a 15-year-old trading-journal SaaS for 200k+ traders — customizable analytics and PostgreSQL tuning across billion-row tables.

↳ Trade review time cut from ~20 min to ~5 min. Platform scaled through a major MRR expansion phase.

Technologies used
Ruby on Rails PostgreSQL at scale Resque · Redis AWS · Kubernetes Custom UI/UX

Built at Nodau

Sublime aesthetic clinic management system

Full clinic management system, scheduling, patient forms, and PDF generation in one platform for Sublime

Replaced spreadsheets and paper with one scheduling and patient-management system — forms, anamnesis, and clinical PDFs generated on every appointment.

↳ Eliminated manual form processing and reduced administrative time per appointment.

Technologies used
Ruby on Rails PostgreSQL PDF generation Background jobs Custom UI/UX
Plataforma Avalia automated certificate platform

Automated certificate platform, free courses, online exams, and instant certificate purchase for Plataforma Avalia

Free courses, auto-graded online exams, and instant certificate purchase on passing — zero manual validation, scalable to thousands.

↳ Fully automated exam validation and certificate issuance, scalable to thousands of concurrent students.

Technologies used
Ruby on Rails PostgreSQL AWS S3 Automated grading Stripe payments
Consis automated quoting system

Automated online quoting system, instant quotes replacing a multi-day manual process for Consis Security

A dynamic web calculator generating accurate condominium-security quotes in real time — a process that used to take days.

↳ Quote delivery reduced from days to seconds. Sales team freed from repetitive estimation work.

Technologies used
Ruby on Rails PostgreSQL Real-time pricing engine Custom UI/UX
HotFans content monetization platform

Full-stack content monetization platform, iOS, Android, and web for HotFans by Hotmidias

A complete hybrid social platform for content creation, monetization, and engagement across iOS, Android, and web.

↳ Single codebase, three platforms. Production-grade content marketplace shipped from the ground up.

Technologies used
React Native Node.js · REST API PostgreSQL AWS S3 · CDN Stripe payments
Technology

Built on the modern AI stack.

We use the right tools for each layer, from LLM infrastructure to cloud-native backends.

AI / LLM
OpenAI Anthropic Claude LangChain LlamaIndex Pinecone Weaviate Hugging Face RAG Pipelines Vector DBs
ML / Vision
PyTorch TensorFlow OpenCV YOLO scikit-learn Tesseract OCR Pandas
Backend
Python Django FastAPI Ruby on Rails Node.js PostgreSQL Redis
Frontend
React Next.js React Native TypeScript
Cloud & Infra
AWS GCP Docker Kubernetes Terraform
Integrations
WhatsApp API Stripe Salesforce HubSpot SAP REST / GraphQL Webhooks
Why Nodau

Engineering-led. Outcome-focused.

We're not an agency that sells time. We're an engineering studio that ships systems.

01

Production-grade from day one

Built for real data, real load, and real scale — from the first commit.

02

AI explained in business language

We translate AI into outcomes: what it automates, what it saves, what it unlocks.

03

Integrated, not isolated

Every system connects to your stack — CRMs, ERPs, WhatsApp, databases, cloud.

04

A studio that ships, not just consults

Engagements end in production software you own — not slide decks.

FAQ

Questions we hear often.

Yes. Most clients are business and operations leaders, not engineers. We handle the technical decisions and build systems your team can use without understanding the internals.

Automations and integrations: 2–4 weeks. AI agents and RAG: 4–8 weeks. Full SaaS and ML pipelines: 2–4 months to a production MVP. Scope and timeline are fixed before we start.

Software that acts, not just answers — routing and resolving support tickets, extracting document data into your CRM, running analyses and reports, or monitoring pipelines and triggering actions.

Yes, by default. We build integration layers for your CRMs, ERPs, databases, cloud storage, WhatsApp, and payments. Your data stays in your infrastructure.

Yes — full ownership of code, docs, and deployment at the end of every engagement. No lock-in, no license fees.

Send a short note on what you're building. We scope a 30-minute call, then return a proposal, timeline, and cost within days. No commitment until you approve.

The team

Built by engineers, for operators.

Three co-founders who design, build, and ship — AI to full-stack.

Ready to build?

Let's build your next system.

Tell us the process you want automated or the product you want built. We reply within 24 hours.