Niriksagara Develops AI Decision Intelligence for Infrastructure Priorities

Developments in artificial intelligence (AI) in recent years have helped humans understand text, images and the digital world. PT Niriksagara Jaya Abadi, however, has taken on a different challenge: how AI can help humans understand the physical world and determine the next strategic step.

From damaged roads and building conditions to construction progress, area access and various other physical assets, Niriksagara is developing technology that combines AI, computer vision, geospatial intelligence, 360-degree cameras, drones and various field data sources.

The goal is not merely to produce inspection reports. Niriksagara wants to help answer bigger questions: which assets are most critical, which must be addressed first, and where budget or investment can deliver the greatest impact.

“AI should not stop at the ability to see a problem. AI must help humans understand its level of urgency and determine what needs to be done next,” said Niriksagara’s management.

In its early stages, Niriksagara’s development focused heavily on using computer vision to automatically read road conditions and physical assets. However, the company realised that the ability to detect damage is only one small part of the problem.

Once damage is identified, governments, asset owners and companies still have to determine how severe the condition is, who is affected, how urgent it is, and where the budget should be prioritised. From these needs, Niriksagara developed its AI Decision Intelligence for the Physical World approach.

The process is built around Capture - Detect - Score - Prioritize - Recommend. Through this workflow, field data can be processed into condition scores, severity analysis, priority maps, monitoring dashboards and decision recommendations.

Physical condition data can also be combined with other context, such as accessibility, economic activity, the presence of public facilities, regional risk and location characteristics.

“We do not want AI to merely say that a road is damaged. The next questions are far more important: how critical the damage is, who is affected, what the consequences are, and which must be repaired first,” the management added.