This tender closed on 19 Aug 2026. The page stays up for reference. See open tenders from Enabel – Belgian Development Agency.
AI-assisted pre-feasibility methodology pilot for mini-grid site selection in MozambiqueClosed
Summary
AI-generated from the tender documents.
Overview
The tender seeks the development and testing of an AI-assisted pre-feasibility methodology to identify and assess potential mini-grid sites in Mozambique. Enabel – Belgian Development Agency invites services bidders with expertise in AI, data analysis and energy access planning. Full scope, eligibility criteria, and submission requirements are on the Mozambique Tenders platform; submit before 19 August 2026 at 10:00.
Requirements
Details on qualifications, certifications, and compliance are not provided in the metadata. Please consult the full tender documentation on the Mozambique Tenders platform for specifics.
How to Apply
- Submission deadline: 19 August 2026 at 10:00.
- Submission method: via the Mozambique Tenders platform.
- Documents to complete/submit: as specified in the tender documents (not provided here).
- Required registrations/pre-qualifications: not specified; check the platform.
- Briefing session: not specified.
- Where to obtain bid documents: Mozambique Tenders platform.
AI-assisted pre-feasibility methodology pilot for mini-grid site selection in Mozambique Enabel – Belgian Development Agency has launched a tender for the development of an AI-assisted pre-feasibility methodology pilot to support mini-grid site preparation in Mozambique. The assignment aims to create and test a methodology that leverages artificial intelligence to streamline the identification and assessment of potential mini-grid sites, a key step in expanding rural energy access across the country. Interested parties should consult the full tender documentation via the Mozambique Tenders platform for details on scope, eligibility criteria, and submission requirements, as no additional documents are attached to this notice. Scope includes development and testing of an AI-enabled pre-feasibility approach to identify viable mini-grid sites and assess site suitability to support rural electrification efforts.
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