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dooop

Caxias do Sul AI consultancy pairing strategy, governance and training with GEO for AI-search visibility

Founded 2021

Skills & Services

About

dooop is an artificial intelligence consultancy based in Caxias do Sul, Rio Grande do Sul, Brazil. The firm helps companies move AI from isolated experiments into lasting organizational capability, combining leadership alignment, culture, governance and hands-on implementation. Its consulting services cover AI strategy and project prioritization, AI use policies, risk assessment, process mapping to identify automation opportunities, governance of scattered AI usage, measurement of AI investment results, and AI for industry, including cost reduction. Work follows a four-stage method: understanding shared context, deciding on priorities, risks and responsibilities, applying practical experiments tied to the business, and governing with controls that allow safe scaling. dooop also runs AI training for companies, from leaders to operational teams, delivered in person or online with real cases and exercises using everyday tools. Programs include AI literacy for non-technical staff, practical training for administrative and operational teams, governance and safe AI use for managers covering LGPD compliance, process mapping with a prioritized list of use cases, AI maturity diagnostics, and executive programs. The firm reports more than 100 companies served and more than 3,000 people trained as of October 2026, with clients including Ipiranga, Grupo Ultra, Sebrae, CDL, Visate, NL and Grupo IMEX. The company also offers keynote talks through founder Danniel Pozza, who speaks on AI in business, leadership, governance and ethics at events such as Campinas Innovation Week, Gramado Summit and the Simpósio Estadual do Varejo. Its GEO (Generative Engine Optimization) consulting, led by Pedro Sonda, aims to make companies found, cited and recommended in ChatGPT, Gemini, Claude and Perplexity answers. dooop serves the Serra Gaúcha, Rio Grande do Sul and all of Brazil, in person or remotely. Founded on October 1, 2021.

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Details

Founded
2021