About Rocketbot
Rocketbot is a robotic process automation (RPA) platform founded in 2018 in Santiago, Chile by David Cuello and Rafael Fuentes. It is designed to make automation accessible and affordable primarily for small and medium-sized businesses, positioning itself as a pragmatic alternative to expensive enterprise RPA suites. The company has roughly 53 employees and operates across Latin America, the United States, and Europe, with particular traction in Brazil where it serves clients across at least ten states. The platform is built on Python and centers on several integrated tools: RPA Studio (a low-code visual development environment for building scalable bots), Saturn Studio (a next-generation agentic orchestration layer that combines AI agents, RPA, and business logic with human-in-the-loop capabilities), AI Studio (for extracting and structuring data from unstructured sources such as documents, emails, and audio), Orchestrator (centralized governance, scheduling, and real-time monitoring), and Xperience (a tool for designing user-facing forms and interfaces that connect people to automated workflows). Rocketbot markets a claim of enabling bots to be built and run up to 30% faster than competing platforms, attributing this partly to its Python foundation and open-technology philosophy. In 2025 it received funding from Chile's CORFO Innova High Technology program (approximately one billion Chilean pesos) to develop self-repairing and self-configuring bot systems that can autonomously identify, diagnose, and resolve errors by analyzing execution logs. On review platforms as of 2026, Rocketbot holds a 4.6 out of 5.0 rating across approximately 492 verified G2 reviews and is listed on Gartner Peer Insights in the RPA market category. It has received multiple G2 awards for client satisfaction. The platform targets industries including retail, finance, healthcare, and logistics.
AI Agent Use Cases
- Low-code RPA Studio for building and deploying bots visually without deep programming knowledge
- Saturn Studio agentic orchestration layer combining AI agents, RPA, and business logic with human-in-the-loop support
- AI Studio for extracting structured data from unstructured inputs (documents, emails, audio)
- Centralized Orchestrator for governance, scheduling, and real-time bot monitoring
- Xperience module for designing user-facing interfaces and forms connected to automated workflows
- Python-based backend enabling parallel execution of up to ten concurrent processes
- Self-repairing bot capabilities (CORFO-funded, 2025) that autonomously diagnose and fix execution errors
- Reusable component ecosystem to accelerate bot development