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Complexity. Under control.

Uninova connects your ERP, APIs and data through integrations, automation and artificial intelligence applied to your operation.

Manifesto

Your ERP already has the data. We put it to work — integrated, automated and AI-assisted, with no duct tape and full traceability from end to end.

What we do

Three areas.One connected operation.

Two bundles of black fibers braiding into a hexagonal connector lit in green
01 / 03

Integrations & APIs

We connect your ERP to legacy systems, platforms and third-party services — with a log of every call, queuing and controlled reprocessing. Nothing intrusive in your database.

integration.log · live
  • POST/rest/pedido-venda201
  • GET/rest/estoque?filial=0402200
  • POST/rest/nfe-entrada409
  • ↻Retry 2/3 · nfe-entrada200
  • POST/webhook/crm200

Every call logged, queued and reprocessed when needed — nothing gets lost.

02 / 03

Automation & AI

Tax, sales and HR work without manual data entry: your business rules combined with AI, validated before anything is written to the ERP.

NF-e · read by AI97% confidence

Inbound NF-e, the Brazilian electronic invoice

  • NCM 3808.93.24Agricultural pesticide
  • CFOP 1102TES 001 · suggested by AI
  • Purchase order000245 · matched ✓
  • Amount & taxesChecked against the XML
Ready to post in Protheus
See the case · GCS + Latitude →
A bundle of fibers opening into hundreds of points of green light
03 / 03

Portals & Apps

Your ERP where the work happens: B2B portals, field apps and WhatsApp assistants, in real time and fully auditable.

UAssistant · connected to the ERP
  • What's the status of order 245?
  • Order 000245 · 3 items · R$ 18,430.00 Invoiced ✓ · delivery expected Oct 14
  • Send me the payment slip
  • Sent ✓ Due in 30 days.
See the case · Celeiro →

How we work

From ERP to outcome,along a single fiber.

  1. 01

    ERP

    We read what already exists, with controlled access and nothing intrusive in your database.

  2. 02

    API

    We standardize how systems talk to each other: contract, authentication and a log of every call.

  3. 03

    Rules

    The engine applies your business rules, with AI where it makes sense and validation before anything is written.

  4. 04

    Outcome

    The process runs on its own, monitored, and reprocesses itself when something fails.

Cases in production

Running today, not in a slide deck.

See all cases · PT
  1. 01 / 03 · Sales

    Celeiro

    R$ 170M+

    In sales contracts (BRL) since May 2025

    Orders sent by WhatsApp and email, then typed into the ERP by hand

    Sales reps place the order through a WhatsApp chatbot, the sales team approves it in a dashboard, and it becomes a contract in Protheus

    In production · chatbot-whatsapp ⇄ protheus

  2. 02 / 03 · HR

    GCS

    300+

    New hires onboarded through the digital flow since Apr 2025

    Paper forms and manual data entry for every new hire

    Candidates fill everything in on their phone, AI reads the documents, and the pre-registration arrives in Protheus ready to go

    In production · admissao-digital ⇄ protheus

  3. 03 / 03 · Tax

    GCS + Latitude

    18,000+

    Invoices processed by bots, Jan–Sep 2026

    Every invoice checked by eye and posted by hand

    XML parsed, tax rules applied and matched against the purchase order — more than 12,000 posted with no manual entry

    In production · central-de-notas ⇄ protheus

What we work with

The tools we use to connect the ERP to the rest of the operation. If your system has an API or an accessible database, we can integrate it.

  • TOTVS ProtheusERP
  • ADVPL & TLPPProtheus languages
  • REST & webhooksIntegration
  • n8nOrchestration
  • SQL ServerDatabase
  • Next.js & ReactPortals & apps
  • WhatsAppCustomer service
  • AI modelsReading, classification, agents
Proud to collaborate with Microsoft for Startups

Our products run with support from Microsoft for Startups.

85 badges issued

  • IBM42 badges
  • IBM: Build AI Agents Using MCP
  • IBM: Agentic AI with LangGraph, CrewAI, AutoGen and BeeAI
  • IBM: Agentic AI with LangChain and LangGraph
  • IBM: Fundamentals of Building AI Agents
  • IBM: Build Multimodal Generative AI Applications
  • IBM: Python for Data Science and AI
  • IBM: Data Engineering Essentials
  • IBM: Generative AI Applications Specialist
  • IBM: Databases and SQL for Data Science
  • IBM: Relational Databases (RDBMS) Essentials
  • IBM: Relational Database Administration (DBA)
  • IBM: Data Engineering Capstone Project
  • IBM: Linux Commands & Shell Scripting Essentials V2
  • IBM: Big Data with Spark and Hadoop Essentials
  • IBM: Python Project for Data Engineering
  • IBM: Machine Learning with Apache Spark
  • IBM: Data Engineering Career Guide and Interview Preparation
  • IBM: RAG and Agentic AI Capstone Project
  • IBM: IBM RAG and Agentic AI Professional Certificate V3
  • IBM: IBM RAG and Agentic AI Professional Certificate
  • IBM: IBM RAG and Agentic AI Professional Certificate (versão anterior, sem MCP)
  • IBM: Data Engineering Foundations Specialization
  • IBM: RAG for Generative AI Applications Specialization
  • IBM: Building AI Agents and Agentic Workflows Specialization
  • IBM: AI Agents Using RAG and LangChain
  • IBM: Generative AI Advanced Fine-Tuning for LLMs
  • IBM: Generative AI Engineering with Transformers & LLMs
  • IBM: Generative AI Language Modeling with Transformers
  • IBM: Generative AI Foundational Models for NLP & Language Understanding
  • IBM: Generative AI and LLMs: Architecture and Data Preparation
  • IBM: Deep Learning Essentials with Keras
  • IBM: Machine Learning with Python (V2)
  • IBM: Advanced RAG with Vector Databases and Retrievers
  • IBM: Vector Databases for RAG: An Introduction
  • IBM: Code Generation and Optimization Using IBM Granite
  • IBM: Generative AI in Action
  • IBM: Build Smarter AI with Embeddings
  • IBM: Artificial Intelligence Fundamentals
  • IBM: Build RAG Applications: Get Started
  • IBM: Develop Generative AI Applications: Get Started
  • IBM: Getting Started with Generative AI
  • IBM: Team Essentials for Designing AI Solutions
  • Anthropic3 badges
  • Anthropic: AI Fluency for Builders
  • Anthropic: AI Fluency for Small Businesses
  • Anthropic: Claude 101
  • AWS2 badges
  • AWS: AWS Databases for Agentic AI Demonstrated
  • AWS: AWS Securing Agent Identities Demonstrated
  • Microsoft2 badges
  • Microsoft: Microsoft Power BI Data Analyst (professional certificate)
  • Microsoft: Microsoft AI and ML Engineering Professional Certificate
  • OpenAI12 badges
  • OpenAI: Agents and Workflows
  • OpenAI: Design and Build Agentic Systems
  • OpenAI: Build with Retrieval-Augmented Generation
  • OpenAI: Evaluate AI Applications
  • OpenAI: Optimize AI Application Performance
  • OpenAI: Scope AI Solutions
  • OpenAI: Extend Codex Workflows
  • OpenAI: Scale Codex Across Teams and Systems
  • OpenAI: Get Started with Codex
  • OpenAI: Applied AI Foundations
  • OpenAI: AI Leadership
  • OpenAI: AI Foundations
  • Make3 badges
  • Make: Make Advanced
  • Make: AI Agent Builder
  • Make: AI Automation Explorer
  • Meta1 badge
  • Meta: Meta Database Engineer Professional Certificate(v.1)
  • n8n3 badges
  • n8n: n8n102: Integrations: APIs & Connected Workflows
  • n8n: n8n101: Essentials: Your First Workflows
  • n8n: n8n Quickstart
  • Google4 badges
  • Google: Google AI Essentials
  • Google: Google Prompting Essentials
  • Google: Create Your First Gemini Enterprise Application
  • Google: Introduction to Generative AI
  • MongoDB10 badges
  • MongoDB: Building an App with Code Agents and MongoDB
  • MongoDB: Memory for AI Applications with MongoDB
  • MongoDB: Observability for AI Agents
  • MongoDB: Governance for AI Agents with MongoDB
  • MongoDB: Evaluating an Agentic Platform with MongoDB
  • MongoDB: Building RAG Apps Using MongoDB
  • MongoDB: Retrieval Evaluation
  • MongoDB: Building AI-Powered Search with MongoDB Vector Search
  • MongoDB: Vector Search Performance
  • MongoDB: Advanced Schema Design Patterns and Anti-patterns
  • Databricks3 badges
  • Databricks: AI Agent Fundamentals (Academy Accreditation)
  • Databricks: Databricks Fundamentals (Academy Accreditation)
  • Databricks: Generative AI Fundamentals (Academy Accreditation)

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By institution

291 in total

Anthropic Academy26certificates
OpenAI Academy15certificates
n8n Academy4certificates
Make Academy3certificates
Make Partner Training5certificates
MongoDB University11certificates
AWS23certificates
Microsoft8certificates
Hugging Face Learn6certificates
Google32certificates
IBM SkillsBuild43certificates
Neo4j GraphAcademy1certificate
Databricks Academy3certificates
Intel4certificates
NVIDIA1certificate
Meta11certificates
Other95certificates

FAQ

Straight answers.

Does Uninova replace my current Protheus consultancy?

Not necessarily. We work on the engineering layer — portals, apps, automation and AI. We can work alongside your support team to unblock projects that need deep technical expertise.

What do I need to integrate my Protheus?

Access to the AppServer to enable the REST APIs. We don't install anything intrusive in your database: the architecture works from the outside in, consuming data in a secure, governed way.

Do you work with other TOTVS ERPs?

Yes. Portals and automations don't depend on a specific ERP: if it has an API or an accessible database, we can integrate it — Datasul, RM, Winthor and others.

How do you keep data secure?

Encryption in transit, OAuth2/JWT authentication, and no storage of sensitive data from your ERP. Everything travels over secure, auditable channels.

No-commitment assessment

No-commitment assessment

Ready to connect your operation?

If it still depends on manual data entry and fragile integrations, we'll map the bottleneck and show you the way forward.