Analysis of Songbae Lee
The foundation is Songbae Lee's original agricultural investment fund ecosystem map, as a starting point for funds, investors, relationships, and portfolio companies. Source: Songbae Lee's agrifunds repository
About AgriFunds
A transparent working map of blended finance for agricultural SMEs
AgriFunds turns a public ecosystem map into a structured portfolio intelligence workspace. The goal is not to claim complete market coverage, but to make relationships, disclosed capital, gaps, and source confidence easier to inspect.
Data Sources
Inputs are public, mixed-quality, and still expanding
Each source contributes a different layer: fund profiles, LP commitments, portfolio company links, or direct project investments.
Public fund materials
Fund websites, annual reports, press releases, GIIN materials, Convergence references, and other public disclosures are used to validate fund profiles, capital stacks, portfolio reach, and stated terms.
Institutional project data
DFI and donor disclosures such as FMO, DFC, BII, DEG, IFC, IATI, USAspending.gov, and related project databases are used to enrich commitments and direct company or project investments.
Manual review
Where disclosures are incomplete, records are normalized by hand, estimates are marked as such, and source confidence is retained for review instead of treating every fact as equally certain.
Scope and Limitations
Coverage is limited to funds and investments with meaningful public disclosure. Amounts, dates, instruments, and tranche data can be incomplete or estimated. The platform keeps those gaps visible so the dataset can improve over time without overstating precision.
Help make the AgriFunds dataset stronger
AgriFunds is built from public sources and practical enrichment. If you spot a correction, missing fund, new deal, source link, or better classification, please send it to [email protected].
I'm consdering introducing an in-tool way to propose changes directly, backed by an approval and review workflow. For now, email is the simplest way to suggest changes and enrich the data.