Palladium Global Management LLC seeks quotations for IT equipment for the Data.FI project in Ethiopia.

Request for Quotation (RFQ) – goods or services Subject RFQ #: Field/217762/Tablets/Fixed Unit Price Contract-2026 RFQ Issue Date: March 2, 2026 Terms of Reference /Specifications: Refer to Attached Schedule Project: Translating Data for Implementation (Data.FI) The Company: Palladium Global Management LLC Country of Performance: Ethiopia Closing Date and Time: March 13, 2026, at 5PM Addis Ababa Time Contact Person: Kokobe Kifle, Finance & Operations Manager – Data.FI Ethiopia Details for Submission: Submissions should be emailed to Kokobe Kifle at kokobe.tekeba@thepalladiumgroup.com Purpose ​The purpose of this RFQ is to select a vendor with the best quote for IT equipment for the ​Translating Data for Implementation (Data.FI)​ project’s activities in Ethiopia. Type of Contract Fixed Unit Price Contract Anticipated Contract Term ​The anticipated delivery date is within two (2) weeks from contract signature. Company Information Palladium is a global leader in the design, development and delivery of Positive Impact — the intentional creation of enduring social and economic value. We work with corporations, governments, foundations, investors, communities and civil society to formulate strategies and implement solutions that generate lasting social, environmental and financial benefits. The Project The overall goal of the Data.FI project is to improve global, regional, and national in-depth analyses of HIV epidemiologic and program data that can be directly applied to expedite the achievement of United States President's Emergency Plan For AIDS Relief (PEPFAR) targets to attain and sustain control of the HIV epidemic. The focus also includes directly supporting host country governments and implementing partners to further enhance existing health information system platforms to inform management responses to well- defined gaps in HIV/AIDS programming. In order to ensure rapid access to high quality data, Data.FI works towards: accelerating data utilization to rapidly c