Djibouti Ports Corridor Road SA (DPCR SA) is an instrumental entity in fortifying Djibouti’s position on the global map. By bridging the state-of-the-art port infrastructure with its hinterland and extending connections to neighbouring countries, we underscore the nation’s geostrategic significance at the Red Sea’s southern entrance on the Horn of Africa. Our mission doesn’t stop at establishing these connections; we are deeply committed to fostering regional connectivity and catalyzing economic growth, both within Djibouti and beyond.
Djibouti Ports Corridor Road SA (DPCR SA) is an instrumental entity in fortifying Djibouti’s position on the global map. By bridging the state-of-the-art port infrastructure with its hinterland and extending connections to neighbouring countries, we underscore the nation’s geostrategic significance at the Red Sea’s southern entrance on the Horn of Africa. Our mission doesn’t stop at establishing these connections; we are deeply committed to fostering regional connectivity and catalyzing economic growth, both within Djibouti and beyond.
Djibouti Ports Corridor Road SA (DPCR SA) is an instrumental entity in fortifying Djibouti’s position on the global map. By bridging the state-of-the-art port infrastructure with its hinterland and extending connections to neighbouring countries, we underscore the nation’s geostrategic significance at the Red Sea’s southern entrance on the Horn of Africa. Our mission doesn’t stop at establishing these connections; we are deeply committed to fostering regional connectivity and catalyzing economic growth, both within Djibouti and beyond.
We will cross the continent, from the Red Sea to the Atlantic Ocean; a land bridge.
We will cross the continent, from the Red Sea to the Atlantic Ocean; a land bridge.
DPCR deploys AI-powered road monitoring across 642 km of Djibouti’s trade corridors, using computer vision to detect pavement defects and enable preventive maintenance.
DPCR deploys AI-powered road monitoring across 642 km of Djibouti’s trade corridors, using computer vision to detect pavement defects and enable preventive maintenance.
