Generative AI ready for deployment in your company

Generative AI accelerators with RAG, corporate assistants, content automation and intelligent chatbots ready for production.

Overview

The Generative AI accelerator brings together pre-configured frameworks to implement GenAI solutions in weeks, including RAG architectures, corporate assistants and content automation.

Services

Enterprise RAG

Complete Retrieval-Augmented Generation architecture to create assistants that answer based on the company's documentation.

Corporate assistants

Intelligent chatbots trained on the company's knowledge base for internal support and customer service.

Content automation

Automated generation of reports, emails, product descriptions, and documentation with generative AI.

Document summarization

Extraction of summaries, key points, and insights from long documents such as contracts, minutes, and reports.

Code generation

Code assistants that accelerate development with automated code generation, review, and documentation.

Guardrails & governance

Security frameworks that control hallucinations, filter inappropriate content, and ensure compliance.

Where we operate

Where we operate with Generative AI

Customer service

RAG-powered chatbots that answer questions using company documentation with precision and context.

Legal

Contract analysis and summarization, case law search, and AI-generated document drafts.

HR & people

Internal policy assistant, automated FAQ, and generation of job descriptions and feedback.

Marketing

Campaign content creation, product descriptions, social media posts, and email marketing.

Engineering

Code assistant, automated technical documentation, and AI-powered code review.

Compliance

Regulatory document analysis, automated checklists, and compliance report generation.

How we work

Use Case Definition

Selecting the highest-impact GenAI use case and defining data sources and scope.

Data Preparation

Ingestion, chunking, and indexing of company documents into the vector store with metadata.

RAG Configuration

Setting up the retrieval pipeline, prompt engineering, and selecting the appropriate LLM for the use case.

Guardrails & Testing

Implementing security guardrails, response quality testing, and user validation.

Deploy & Adoption

Production deployment with usage monitoring, response quality tracking, and user feedback.

Use Case Definition

Selecting the highest-impact GenAI use case and defining data sources and scope.

Data Preparation

Ingestion, chunking, and indexing of company documents into the vector store with metadata.

RAG Configuration

Setting up the retrieval pipeline, prompt engineering, and selecting the appropriate LLM for the use case.

Guardrails & Testing

Implementing security guardrails, response quality testing, and user validation.

Deploy & Adoption

Production deployment with usage monitoring, response quality tracking, and user feedback.

Results we've already delivered

Data AnalyticsMar 18, 2026

Tenda

Tenda automates contract generation and eliminates 90% of the manual process

Data Analytics, RPA e hiperautomaçãoFeb 4, 2026

Grupo Víssimo

Faced with the challenge of serving consumers without the direct support of a sommelier, the need arose to digitize service with a touch of personalization and scale.

Generative AIJan 23, 2026

Comerc