CONSULTANCY SERVICES FOR THE DESIGN AND IMPLEMENTATION OF A SATELLITE DATA-BASED AGRICULTURAL RISK PROFILING PLATFORM
Access to Finance Rwanda
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About the project/ Overview of the project
Digital Public Infrastructure (DPI) serves as the backbone of a digital economy, unlocking opportunities for financial inclusion, enabling digital identity systems, strengthening payment infrastructure, and fostering secure data exchange.
Rwanda has embraced Digital Public Infrastructure (DPI) principles to guide interoperable, sustainable, and inclusive digital transformation initiatives. One of the key business cases under this approach is the Credit Market Infrastructure (CMI).
The CMI is a DPI initiative designed to modernize Rwanda’s credit market ecosystem. It aims to address critical market inefficiencies by creating a shared digital platform that connects financial service providers, data providers (credit bureaus, identification, certification bodies, satellite data service providers, Agriculture value chain data etc..) ,, and borrowers through standardized APIs and automated processes. By enabling a single, trusted source of credit-related data, the CMI will enhance credit risk assessment, strengthen financial inclusion, and support responsible lending practices.
Objectives of the assignment
The implementation firm will play a critical role in designing, developing and implementing satellite-based agricultural risk profiling capabilities to support the credit market infrastructure. Working closely with the Rwanda Space Agency (RSA), The Firm will design, develop, and deploy satellite analytics solutions that generate agricultural risk scores for lending decisions.
A core objective of this assignment is the design, development, and implementation of a machine learning–based agricultural risk scoring model that leverages historical satellite and geospatial data to generate predictive risk scores for agricultural lending.
The solution will bridge the gap between satellite technology and financial services by creating data insights that support informed agricultural lending decisions. The firm will ensure that satellite-derived insights are integrated seamlessly into the broader CMI ecosystem while building local capacity at RSA for sustainable operation and evolution of these capabilities.
Interested firms should confirm their intention to submit a bid by Tuesday, January 20, 2026, at 17h00 HRS CAT
Any requests for clarifications to the RFP may be submitted not later than Monday, January 26, 2026, 17h00 HRS CAT.
Bidders should submit their proposals no later than Friday January 30, 2026, 14:00 HRS CAT
Responding bidders are advised that this solicitation does not in any way obligate AFR to make a contract award or compensate the responding firms for any costs associated with the preparation and submission of their proposals. Additionally, AFR may award a contract without conducting negotiations; all proposals should be submitted initially using your most favorable terms. AFR reserves the right to award any resultant contract to other than the offeror submitting the lowest price proposal based on technical excellence, schedule superiority or client request.
All communications regarding this RFP should be addressed via email: procurement02@afr.rw
Below is the summary planned procurement schedule:
Activity | Date |
a) Date of issue of RFP | Wednesday 14, 2026 |
b) Confirmation of interest | Tuesday January 20, 2026, at 17h00 HRS CAT |
c) Request for clarifications | Monday January 26, 2026, 17h00 HRS CAT. |
d) Closing date for submission of proposals | Friday January 30, 2026, 14:00 HRS CAT |
Note: This procurement is open to both Local and International firms. Joint Venture between local and international firms is encouraged.
Cordially,
Jean Bosco Iyacu
Chief Executive Officer





