(01)City operations centre · West Africa

Lagoon OS

Showcase concept

One operating picture for a coastal megacity of 20 million — traffic, buses, flood sensors, power and incidents on one map, with AI that forecasts flooding six hours ahead and retimes 1,200 traffic signals.

Client: Lagoon OS
Year: 2026
Discipline: AI Solutions & Automation
Scope: Government · Smart city · AI · Dashboards · Public safety

(01)The challenge

Every rainy season the lagoon districts flooded, and every department saw only its own slice — traffic on one screen, drains on another, buses on a third.

The city wanted one room where operators could see the whole city, act before the water rose and send crews to the right street.

(02)Our approach

We designed Lagoon OS around six live layers on one map. A flood model combines rainfall, tide and 340 drain sensors to forecast risk by district six hours ahead and drafts the SMS warning to residents. A signal optimiser proposes new timings for whole corridors, which operators approve with one tap. Field crews work from a rugged tablet app, and residents get an open-data portal and a “report a problem” flow that shows each report being fixed.