Turn business information into decisions and more efficient work
We apply AI to concrete processes, integrating documents, knowledge bases and existing systems to produce results that are useful, controllable and easy to adopt.
The problem
Companies accumulate PDFs, manuals, regulations, emails and data, yet still rely on manual searching and scattered knowledge to get things done.
Our approach
We identify where AI can reduce workload, improve search, support decisions and automate tasks, always integrated into the organisation's real process.
Business applications with real impact
Intelligent OCR
Extracting information from invoices and documents for validation, classification and integration.
Document search
Semantic search across manuals, regulations, procedures and internal documentation.
RAG and internal knowledge
Assistants able to answer using the organisation's own sources, while keeping business context.
Content generation
Assisted creation of materials, replies, documents and training content.
Automatic classification
Organising documents and information by type, subject, supplier, process or status.
Internal assistants
Interfaces that help teams look up information and carry out tasks faster.
Local models
When privacy and control are a priority, we assess architectures with models run on your own infrastructure.
Integration into the process
AI connects to APIs, databases, workflows and platforms, rather than staying isolated as a demo.
Isolated AI vs integrated AI
When it's isolated
- It answers but doesn't act within the process
- Creates value only as a demo
- Depends on manual intervention for everything
When it's integrated
- Works directly on real documents and systems
- Helps the team decide and act faster
- Reduces repetitive tasks and search time
Projects that demonstrate this capability
1000faturas: OCR, extraction, classification and document and financial automation.
explicacoes.com: an education platform with over 6,700 exercises across 100+ subjects organised into 8 areas, 8,300 tutors and an AI tutor that searches the exercise database before responding.
Enterprise platforms: AI applied to processes, documentation and team support.
AI in software development: faster doesn't mean automatic
Why AI speeds up development but doesn't eliminate analysis, architecture, validation or technical accountability — with real examples from 1000faturas and RALPI.
Do you have information your team can't put to use?
We start by understanding the process and identifying a concrete application for AI.
Talk about your project