The layer between a city’s data and its decisions.
FengHeng builds and operates data intelligence infrastructure for public institutions. We take the operational data a city already produces — sensors, satellite feeds, weather, administrative records — and turn it into a record it can trust, intelligence it can use, and a system we keep running.
Data-rich, decision-poor.
Public institutions sit on growing volumes of operational data. What they lack is the layer that makes it usable: a record they can trust, a standard they can defend, and intelligence an executive can act on.
The gap is not a dashboard. It is everything between the raw reading and the decision — and that gap is what we build.
Measure. Assure. Publish. Operate.
Four capabilities, one connected system — not a service list. Each feeds the next.
1Data foundation
Existing sources integrated into one structured, versioned base — every value with provenance, every change on the audit trail.
2Assurance standard
Quality rules and fault classifications define what counts as valid. The checked record is the only trusted record.
3Decision products
Briefings, alert triage, exposure assessments and leadership briefs — trusted data, made policy-usable.
4Embedded operations
Delivered inside client workflows, with service commitments and a status page. A running system, not a report.
Freetown, Sierra Leone.
Our first deployment is a twelve-month air-quality intelligence programme with Freetown City Council — formalised through an MOU signed by the Mayor, with FengHeng as Delivery Partner. Twelve stations across the city, synchronised daily, checked against a published rulebook, anchored to WHO air-quality guidelines.
Any reading a city hesitates to act on.
Freetown is the first instance, not the boundary. Water, transport, energy, waste, public health — wherever a city already produces operational readings but lacks intelligence it can act on, the same chain applies. The second deployment will be faster than the first, because the foundation is already built.