Capital markets platform connecting investors and borrowers in Brazil
Galapagos Capital operates a financial intermediary connecting equity and debt capital market participants across Brazil. The tech stack reveals a finance-operations hybrid: Python, SQL, Pandas, and scikit-learn sit alongside Pipedrive, HubSpot, and n8n, indicating heavy reliance on workflow automation and CRM infrastructure. Active hiring is concentrated in finance (28 roles) and operations (7), with recent adopts of Pipefy and SharePoint pointing toward process standardization—aligned with their stated pain points around operational failures, delayed asset receipt, and high-volume deadline pressure.
Founded in 2019, Galapagos Capital serves individual and institutional clients across Brazil, structuring capital solutions in equity, debt, and alternative asset markets. The business model centers on wealth management, private credit, real estate funds, and quantitative strategies, with explicit focus on custody and judicial asset acquisition workflows. Operating from São Paulo with 201–500 employees, the firm competes in a concentrated market dominated by larger incumbents. Current operational priorities include escrow account management, post-purchase asset monitoring, M&A due diligence, and judicial asset restructuring—reflecting a business model dependent on high-touch, multi-step transaction workflows.
Python, SQL, Pandas, scikit-learn, TensorFlow, PyTorch for data and modeling; React, Node.js, FastAPI on the backend; Pipedrive and HubSpot for sales; Power BI for analytics; n8n and Zapier for workflow automation.
Process automation, escrow and custody operations, judicial asset acquisition and monitoring, M&A due diligence, employer branding, and legal process automation. Active focus on reducing operational failures and managing high-volume transaction deadlines.
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