Credit infrastructure platform connecting Brazilian banks, fintechs, and loan originators
Teddy Open Finance operates a B2B fintech infrastructure layer for Brazil's credit market, connecting capital providers (banks and fintechs) with loan originators (correspondents, brokers, real estate agents). The tech stack—Python, AWS, OpenAI, LangChain, RAG, plus emerging vector databases (Pinecone, Weaviate, FAISS)—signals an engineering org building AI-assisted credit decisioning and process automation. Active hiring across engineering, sales, and ops, with most roles at mid-level, suggests scaling post-product-market fit while still addressing core pain points: approval speed, credit decision quality, and accounts receivable optimization.
Notable leadership hires: Tech Lead
Teddy Open Finance operates a fintech infrastructure platform built to handle credit origination, management, and distribution at scale across Brazil's financial sector. The platform connects banks and fintechs (capital providers) with a network of loan originators—bank correspondents, investment advisors, credit promoters, insurance brokers, real estate firms, and consortium specialists—across five credit verticals: payroll-deducted loans (INSS and private), home financing, home equity, consortiums, and vehicle financing. The company serves as the operational and technology backbone for financial professionals, automating workflows and reducing friction in credit distribution. Headquartered in São Bernardo do Campo, São Paulo, Teddy operates entirely within Brazil with 51–200 employees.
Core: Python, AWS (Lambda, SQS, DynamoDB), OpenAI, TensorFlow, PyTorch, and scikit-learn. Data/BI: SQL, Apache Airflow, Pentaho, Power BI, Data Studio. Currently adopting vector databases: Pinecone, FAISS, Weaviate.
Five verticals: payroll-deducted loans (INSS and private), home financing, home equity, consortiums, and vehicle financing. The platform connects banks and fintechs with loan originators across these segments.
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