Work — Bwendi
A location intelligence service that turns any latitude/longitude into hub, anchors, metro, administrative hierarchy, and a ready-to-use context string — in a single request, anywhere on Earth.
A coordinate is just a number. But every coordinate belongs somewhere — a hub that governs it, anchors that surround it, a metro that serves it, a landscape that defines it. Until Bwendi, assembling that picture meant stitching together a dozen geocoders, places APIs, and admin databases — and even then, you got points without meaning.
The gap is sharpest in places traditional infrastructure ignores. 1.4 billion people across 54 African countries have no postal code, no street name. They still need to be reachable, addressable, and economically legible.
Bwendi resolves all of it in one request: a typed hub, a ranked list of nearby commercial centers, anchors at three reach bands, an economic tier classification, and a verified context string written in the local language — ready to use in any AI prompt or retrieval pipeline.
Three primitives: Resolve (coordinates in, context out), Map (hub, anchors, metro, context string in one call), and Decide (context your team and your tools can act on). We built the engine before the marketing.
Bwendi is the location layer underneath several other OSIH products: Equiterrain uses it to position parcels in the right local market system; the CamerDeals · ShayaShaya · NGDeals marketplace family uses it to define what “near” means in any given African city; and Hungry But Not Stupid uses its typed anchors to recommend places a knowledgeable local would.
That compounding is the entire point of how we build.