R&D institute specializing in AI, IoT, and embedded systems for enterprise clients
SiDi is Brazil's largest R&D institute, operating from three innovation hubs (Campinas, Manaus, Recife) with 500+ employees. The tech stack reveals a dual-track engineering operation: cloud-native Java/Spring/Kubernetes deployments on AWS/GCP/Azure paired with robotics and embedded AI tooling (NVIDIA Jetson, ROS 2, Isaac Sim, TensorRT), indicating simultaneous delivery of enterprise software and autonomous systems. Current hiring is heavily engineer-focused (17 of 21 roles) with balanced intern and senior-level recruiting, suggesting both capability scaling and mentorship-heavy project delivery.
SiDi delivers R&D and consulting services across AI, data science, IoT, NLP, and robotics to enterprise and public-sector clients. Founded in 2004, the institute has executed over 1,000 projects spanning text/speech processing, computer vision, LLM-based solutions, Android framework work, and cybersecurity. The organization maintains distributed teams across Brazil's primary tech corridors and operates a hybrid consulting + product-engineering model, with active internal challenges around legacy system modernization, CI/CD standardization, and technical architecture alignment across geographically distributed delivery.
Core: Java, Spring Boot, Kubernetes, AWS EKS, React, Python, Node.js, GCP, Azure. Robotics/AI: NVIDIA Jetson Orin, ROS 2, Isaac Sim, TensorRT, ONNX, C++. Also uses Elasticsearch, NGINX, HAProxy, .NET, SQL Server.
Active projects: speech/text classification and neural processing, LLM-based solutions, keyword spotting, virtual assistants, computer vision, Android security and framework enhancements, IoT, cybersecurity, and AI systems.
Other companies in the same industry, closest in size
SiDi's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.