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PT Techno GIS Indonesia Signs an MoU with Aerial Intelligence at Hannover Messe 2025, Germany

Hannover, Germany – The Hannover Messe 2025 event once again witnessed the emergence of various innovative collaborations in the fields of technology and industry. One of the most significant moments of this grand event was the signing of a Memorandum of Understanding (MoU) between PT Techno GIS Indonesia and Aerial Intelligence, a German-based technology company. Through this MoU, both parties agreed to collaboratively develop aerial data-based solutions and strengthen their partnership in image processing and geospatial innovation powered by artificial intelligence (AI).

As the world’s largest industrial trade fair, Hannover Messe is known for bridging a myriad of ideas and innovations from across the globe. In 2025, the event adopted the theme “Industrial Transformation – Energizing a Sustainable Industry,” emphasizing the importance of merging technology and sustainability across all industrial sectors. In line with this spirit, PT Techno GIS Indonesia and Aerial Intelligence recognized the tremendous potential in harnessing aerial data and AI technology for various applications, ranging from agricultural land mapping, urban planning, disaster mitigation, to more efficient natural resource management.

One of the primary focuses of this MoU is the development of a comprehensive aerial data-based solution. Both parties are committed to designing systems for the collection, processing, and analysis of geospatial data that are not only reliable but also scalable. PT Techno GIS Indonesia, leveraging its extensive experience and local client base, will utilize its infrastructure and local expertise to gather field data. Meanwhile, Aerial Intelligence, through its advanced technology and R&D ecosystem in Germany, will provide an AI-based aerial image analysis platform capable of processing data quickly and accurately.

This collaboration also encompasses AI-powered geospatial innovations. Such technology is projected to help overcome various complex challenges faced by industries and governments, such as mapping remote areas, managing critical infrastructure, and identifying land cover changes. With the integration of AI, the developed systems are expected to generate predictive analyses, minimize data errors, and optimize resource utilization. These improvements are anticipated to have a positive impact across a range of sectors, including agriculture, plantation, forestry, mining, and urban planning.

The signing of this MoU is a strong symbol of PT Techno GIS Indonesia’s commitment to advancing geospatial technology in Indonesia. By partnering with Aerial Intelligence, the company aims to introduce sophisticated solutions that can stand up to global competition. In turn, Aerial Intelligence views this partnership as a gateway to penetrating the Southeast Asian market, particularly Indonesia, which has a significant demand for mapping and remote sensing technologies.

During the MoU signing at Hannover Messe 2025, representatives from both companies emphasized that this agreement is not merely an ordinary business collaboration; it is a synergistic effort to integrate two areas of expertise: the local knowledge held by PT Techno GIS Indonesia and the state-of-the-art technology of Aerial Intelligence on a global scale. The outcomes of this development are expected to be implemented in a more targeted manner, effectively addressing real-world needs.

Furthermore, the MoU opens the door for interdisciplinary collaborations. Various sectors, including academia and government, will be invited to work together to test and utilize the solutions emerging from this cooperation. This step is crucial to ensure that the innovations created truly have a high leverage effect on industrial development and sustainable growth.

In the near future, a joint team from PT Techno GIS Indonesia and Aerial Intelligence will initiate pilot projects in several selected locations in Indonesia. These pilot projects aim to test the integration of aerial data, image processing, and AI in addressing various needs, such as managing agricultural land.