Sette offers a digital platform that accelerates agricultural financing by streamlining risk analysis and digitizing the formalization of titles and guarantees. Its AI-powered solutions integrate territorial data and economic profiles to enhance security and scalability throughout the loan origination process.
Funding
$8.6M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Agricultural financing processes are often hindered by slow risk analysis, fragmented document retrieval, and manual formalization of titles and guarantees. This inefficiency delays credit disbursement and increases operational overhead for lenders.
Solution
Sette provides a unified digital platform designed to accelerate agricultural financing. The platform streamlines risk assessment by integrating territorial data and economic profiles through its Rural Uno solution. Its Ativus module digitizes the formalization of agricultural titles and guarantees, including advanced digital signature capabilities with multi-factor authentication. By leveraging proprietary AI and machine learning models, Sette enhances the security and scalability of the entire agricultural finance lifecycle, from initial risk evaluation to final asset registration.
Target Audience
Sette targets financial institutions, agribusiness lenders, and credit cooperatives seeking to optimize their agricultural loan origination and management processes.
Features
- **Rural Uno Platform**: Integrates CPF/CNPJ input to identify rural property ownership, economic standing, land registry details, and total area (hectares).
- **Territorial Engine**: Utilizes AI for segmentation of agricultural plots and crop classification via Deep Learning.
- **Ativus Platform**: Digitizes the process of obtaining certificates and formalizing agricultural titles and guarantees.
- **Advanced Digital Signature**: Supports advanced and qualified signatures for all document types, incorporating biometric facial recognition, SMS, or WhatsApp authentication.
- **Rural Product Note (CPR) Verification**: Implements a seven-step verification process for enhanced security in agricultural financing transactions.
- **Machine Learning Models**: Employs ML and decision trees to define agricultural productivity metrics.
- **Large Language Models (LLMs)**: Utilizes LLMs for automated document reading and interpretation.
- **Proprietary AI Models**: Leverages convolutional neural networks and transformers for personalized and innovative solutions across the user journey.