AI-driven process automation and RPA for enterprise integration
Leaf Consulting builds process automation solutions layered on RPA and AI, with a tech stack spanning C#/.NET, Python ML frameworks (TensorFlow, PyTorch, scikit-learn), and vector databases (FAISS, Milvus, Chroma) — indicating a shift from pure workflow automation toward LLM-powered intelligent document classification and legacy system integration. The active adoption of RAG and focus on data pipelines for embeddings suggest they're moving upmarket from traditional BPO into AI-augmented process optimization.
Leaf Consulting is a Brazilian IT services firm founded in 2007, headquartered in Vitória, Espírito Santo, with 201–500 employees. They specialize in process automation, RPA, BPO, and custom software development for enterprise clients. Their current work spans three interconnected areas: classic robotic process automation, AI-driven document capture and classification using LLMs, and data pipeline infrastructure for ingestion and vectorization. The company positions itself on custom problem-solving tailored to client needs rather than template-based consulting.
C#, ASP.NET Core, React/Angular/Vue, Azure, AWS, Docker, Kubernetes, Kafka, RabbitMQ, Python, TensorFlow, PyTorch, scikit-learn, FAISS, Milvus, Chroma for vector storage, and RPA tooling.
LLM and RAG-based document capture, data pipelines for embeddings and vectorization, AI automation for process optimization, and legacy system integration.
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