Agricultural credit platform for rural producers in Brazil
Nagro Crédito Agro is a fintech focused on rural credit origination in Brazil, combining underwriting automation with data-driven risk assessment for agricultural producers and supply-chain participants. The tech stack reveals a modern web architecture (React, Next.js, Node.js, PostgreSQL, MongoDB) paired with Python-based data pipelines (Scrapy, BeautifulSoup, Selenium) — a pattern indicating active work on both borrower-facing applications and automated underwriting/scraping for credit intelligence. Active projects around agrisk modeling, API integration, and CRM automation suggest they're scaling credit operations beyond manual underwriting, while the monolith decomposition and legacy frontend migration challenges point to infrastructure constraints as the company grows.
Nagro Crédito Agro operates as an agricultural fintech in Brazil, providing credit solutions to rural producers and supply-chain participants. The platform has facilitated over 200 million reais in assessed credit and over 68 million reais in originated credit. The company addresses three primary underwriting workflows: operating credit (custeio), investment credit (investimento), and risk intelligence across commodity and livestock operations. Current product surface areas include agrisk (credit risk modeling), agflow (likely workflows and disbursement), and credacademy (borrower education or training). The organization is distributed across engineering, design, and marketing, with hiring focused in Brazil.
Frontend: React, Next.js, Vue, TypeScript. Backend: Node.js, Express, Nest.js, FastAPI, Flask. Data pipelines: Python with Scrapy, BeautifulSoup, Selenium. Databases: PostgreSQL, MongoDB. Infrastructure: Docker, Sentry. Marketing: HubSpot, Meta Ads, Google Ads, Analytics.
Core products include agrisk (credit risk modeling), agflow (credit operations workflow), and credacademy (borrower platform). Supporting infrastructure: web scraping for agricultural data, REST API integrations, CRM/marketing automation flows, and acquisition funnel optimization.
Uberlândia, Minas Gerais, Brazil. Founded in 2016, the company employs 51–200 people and hires exclusively in Brazil.
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