Contractor AI

Problem:

Public procurement processes in Paraguay lack transparency and accessibility for micro, small, and medium enterprises (MSMEs). Without timely information and proper tools to identify irregularities, MSMEs face barriers to participating effectively in government tenders and struggle to compete fairly in public procurement processes.

Idea:

A predictive natural language processing model using fine-tuned BERT multilanguage transformer that: Provides real-time information on public procurement processes Analyzes historical tender values for similar projects Helps identify potential irregularities in procurement processes Enables more effective complaint filing Integrates with the existing VIGIA platform Uses OCDS (Open Contracting Data Standard) format data from Paraguay's public procurement system

Main Beneficiaries:

Beneficiaries: Primary Beneficiaries: 400+ current VIGIA platform users 6,500 ASEPY associates across 60+ product categories MSMEs participating in public procurement (particularly relevant given the new 20% procurement quota law) Secondary Beneficiaries: Government agencies seeking to improve procurement transparency Local governments implementing MSME participation requirements Potential expansion to 200,000+ ASELA members across 11 Latin American countries

Stage:

Scaling the business

SDG:

GOAL 16: Peace and Justice Strong Institutions

GOAL 10: Reduced Inequality

University:

Pontificia Universidad Católica de Chile