Data analytics and ML services for business decision-making in Brazil
HUPDATA is a São Paulo-based data science consultancy built around Python, R, and cloud platforms (AWS, GCP, Azure), with recent adoption of LLMs (GPT, BERT) alongside traditional ML libraries. The stack mirrors a services-driven model: heavy emphasis on analytics tools (Tableau, Power BI, KNIME) and sales infrastructure (Apollo, Pipedrive, RD Station), but hiring velocity is decelerating and internal pain points center on solution adoption and client retention—typical friction points for boutique analytics shops competing on project execution rather than platform stickiness.
HUPDATA provides data analysis, machine learning, and big data analytics services to mid-market and enterprise clients in Brazil. The company tackles structured problems: lead qualification pipelines, credit risk modeling, customer segmentation, and policy simulation. Their delivery mix spans both training programs and custom analytics implementations. Operationally, they are a compact team of 11–50 people with data analysts and engineers forming the core, supplemented by sales and operations functions. Work is cloud-native (AWS/GCP/Azure) and tooling-agnostic (KNIME, Tableau, Power BI), positioning them as implementation partners rather than single-product vendors.
Python, R, Pandas, NumPy, scikit-learn, SQL, Tableau, Power BI, KNIME, AWS, GCP, Azure, plus GPT and BERT for NLP tasks. Sales and marketing tools include Apollo.io, Pipedrive, and RD Station.
São Paulo, SP, Brazil. Founded in 2016, the company is privately held and maintains hiring exclusively within Brazil.
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