TransTrack CTO Aris Pujud Kurniawan (left) at an event
As Indonesia continues to grapple with a persistently high rate of traffic accidents, transport technology firm TransTrack is positioning AI, telematics and data analytics as central tools for improving road safety, both for its own operations and for the customers it serves.
The company’s approach was outlined during the Road Transport Safety Management System Strengthening Socialisation Programme, held on June 4 in Medan. The event brought together regulators, transport operators, insurers and technology providers to discuss the implementation of the Public Transport Company Safety Management System, known as SMK PAU.
At the forum, TransTrack presented its Safety Intelligence solution, which combines AI-powered Driver Monitoring Systems and Advanced Driver Assistance Systems. The technology is designed to help transport operators spot risky driving behaviour, lower accident risk, and meet operational safety standards more consistently.
Speaking about the company’s broader AI strategy, chief technology officer Aris Pujud Kurniawan told e27 that TransTrack has not yet reached full agentic AI implementation, where a system manages an entire decision-making cycle independently. Instead, the company currently relies on AI assistants that speed up human decision-making.
He attributed the gap partly to the complexities of the transport sector, including safety requirements, regulatory considerations and cost management, as well as the risk posed by poorly optimised training data. Data silos across the industry, he added, remain a persistent obstacle, with much information still unintegrated.
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Within its products, TransTrack has introduced AI assistants capable of detecting driver fatigue and relaying reports to control centres, though Kurniawan said the tools have not advanced to the point of making higher-level judgements, such as recommending whether a driver should be dismissed. On the operational side, the company has adopted semi-autonomous AI for tasks including integrated installation processes and stock analysis used to determine when to re-engage with vendors.
Kurniawan described TransTrack’s product development process as beginning with real problems identified within the industry, drawing on a dedicated team that researches customer pain points and use cases before assessing what data is available to address them. He noted that customer requests are not always supported by existing data, making early validation essential.
The company also draws on IoT platforms, both its own and those already owned by customers, as data acquisition tools.
TransTrack’s development team numbers around 200 people, and Kurniawan said the company maintains close ties with roughly ten public and private universities in Indonesia, as well as institutions in South Korea, to support joint research. One outcome of this collaboration is an internally developed driver fatigue detection tool, which Kurniawan said relies on multiple analytical layers; additional research with university partners has helped raise its accuracy from 80 per cent to 90 per cent. The company is also pursuing maritime technology research, including work on fuel efficiency detection.
Data availability remains a broader challenge, Kurniawan said, citing inconsistent infrastructure, connectivity and accessibility across Indonesia, where many customer fleets vary widely in condition and some vehicles are too outdated to yield usable data. TransTrack said its products are designed to function in such constrained environments, supported by a database of thousands of connected IoT devices nationwide.
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On staying current with rapid technological change, Kurniawan said he encourages his team to engage with new developments without being swept up by hype, emphasising safety, compliance and regulatory considerations before implementation. Team members are permitted to use AI tools for tasks such as correcting code.
The company also runs TransTrack Academy, which is open to the public and fresh graduates, and which some customers use to train their own staff. Strong graduates may be offered employment. Looking ahead, Kurniawan said the company aims to progress from semi-autonomous systems toward agentic AI capabilities.
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Image Credit: TransTrack
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