IllustrativeITEQ-Rice — AI Quality Control in Rice Process
Sierra LeoneAgriTech · Post-harvest rice processing - technology and quality control
A greenfield project applying artificial intelligence to quality control in rice processing in Sierra Leone, where over 600,000 hectares were under rice in 2024 and local rice still competes with imports.
Rationale
Rice self-sufficiency reached 71.7% in 2024, yet imports still cost USD 159.1m that year.³ In a national market survey, 84% of consumers and 88% of traders preferred imported rice and wanted better grain quality.⁴ The project brings AI quality control into rice processing to close that gap.
- Sector
- AgriTech, rice processing
- Technology
- Artificial intelligence for quality control
- Stage
- Greenfield
- Site
- Sierra Leone; under NDA
Investment opportunity
Transaction structure
15m sought for a greenfield deployment of AI quality control in Sierra Leone's rice processing.¹
Use of funds
Funding is sought to develop and launch the greenfield AI-enabled AgriTech project.
The ask
Capital of 15m for the greenfield deployment; technical design, host facilities and terms are released to qualified investors under NDA.
Why it is bankable
The government's Feed Salone agenda put over 600,000 hectares under rice in 2024 and is installing large-scale milling.²
Self-sufficiency reached 71.7% in 2024, up from 54% in 2018, yet rice imports still cost USD 159.1m that year.³
In a national survey, 84% of consumers and 88% of traders preferred imported rice, and both wanted better grain quality.⁴
Traders and consumers surveyed in 45 markets want further gains in grain quality, which is what processing-stage quality control targets.⁴
Data and evidence · Sierra Leone rice market
Project readiness and timeline
- OriginationGreenfield
- FeasibilityTo follow
- StructuringTo follow
- Financial closePost-diligence
- ConstructionTo follow
Key risks and mitigants
Feasibility and the commercial model are still to follow; technical design and process scope are released to qualified investors under NDA.
Host mills must take up the system; buyer demand for better grain quality supports the case.⁴
Local rice still competes with imports; better, more consistent grain quality is the lever the project targets.⁴
Transaction terms
- Capital sought
- 15m
- Technology
- Artificial intelligence
- Sector
- AgriTech: quality control in rice processing
- Location
- Sierra Leone; site under NDA
- Development stage
- Greenfield
- WAIIS pillar
- Digital Transformation
Development impact
Food security
Supports the national goal of growing and eating more of the country's own rice.
Value addition
Brings digital quality control into rice processing, where value is added after harvest.