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Vendor to create, test and deploy an MVP for AI-powered Content Analysis
IREXUnited States - Remote, United StatesRemotecontractVerifiedPosted 6 Aug 2025
About the role
REQUEST FOR PROPOSALS
Title: Vendor to create, test and deploy an MVP for AI-powered Content Analysis
Issue Date: August 5, 2025
Proposal Due Date: August 22, 2025, at 5pm EST
Anticipated Award Date: August 30, 2025
Questions: Submit your questions to RLageBarbosa@irex.org and IChaney@irex.org by 5 PM EST on August 15, 2025
Submission instructions: Submit your proposal to RLageBarbosa@irex.org and IChaney@irex.org by 5 PM EST on August 22, 2025
Anticipated funding: IREX intends to award a contract with an estimated value between 30,000 and 45,000 USD.
IREX (International Research & Exchanges Board) is seeking proposals from qualified vendors to support an initiative aimed at enhancing the capacity of journalists and communicators in Latin America to navigate and interpret evolving patterns in online information. The project will develop a secure, AI-powered Content Analysis tool, designed to help media professionals understand emerging content trends, assess relevance, and make timely editorial decisions. The solution will provide real-time information of Spanish-language text data from social media (e.g., X) and news sources (e.g., NewsAPI) on specific topics of interest.
IREX reserves the right to withdrawal this request for proposals at any time up to the award of the contract.
Deliver a minimum viable product (MVP) of an AI-powered tool for real-time monitoring and analysis of key Spanish-language online content—within 3 months, focusing on core functionality, usability, risk mitigation, and pilot deployment readiness.
Organizations interested in providing this service must submit a proposal which demonstrates the organizations’ capacity to provide:
AI-Powered Content Analysis System
Data integration and reprocessing
User interface (UI)
Title: Vendor to create, test and deploy an MVP for AI-powered Content Analysis
Issue Date: August 5, 2025
Proposal Due Date: August 22, 2025, at 5pm EST
Anticipated Award Date: August 30, 2025
Questions: Submit your questions to RLageBarbosa@irex.org and IChaney@irex.org by 5 PM EST on August 15, 2025
Submission instructions: Submit your proposal to RLageBarbosa@irex.org and IChaney@irex.org by 5 PM EST on August 22, 2025
Anticipated funding: IREX intends to award a contract with an estimated value between 30,000 and 45,000 USD.
IREX (International Research & Exchanges Board) is seeking proposals from qualified vendors to support an initiative aimed at enhancing the capacity of journalists and communicators in Latin America to navigate and interpret evolving patterns in online information. The project will develop a secure, AI-powered Content Analysis tool, designed to help media professionals understand emerging content trends, assess relevance, and make timely editorial decisions. The solution will provide real-time information of Spanish-language text data from social media (e.g., X) and news sources (e.g., NewsAPI) on specific topics of interest.
IREX reserves the right to withdrawal this request for proposals at any time up to the award of the contract.
- Objective
Deliver a minimum viable product (MVP) of an AI-powered tool for real-time monitoring and analysis of key Spanish-language online content—within 3 months, focusing on core functionality, usability, risk mitigation, and pilot deployment readiness.
- Proposal Requirements
Organizations interested in providing this service must submit a proposal which demonstrates the organizations’ capacity to provide:
AI-Powered Content Analysis System
- Hold design meetings with IREX and media representatives
- Develop a lightweight AI engine capable of:
- Keyword extraction
- Sentiment analysis
- Topic clustering
- Focus on Spanish-language content from:
- X (formerly Twitter)
- One news source via NewsAPI
- Ensure the application is robust and capable of processing large volumes of data efficiently.
Data integration and reprocessing
- Build a basic pipeline to:
- Collect and normalize data from selected sources
- Filter by topic and relevance
- Prepare data for analysis
User interface (UI)
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