Core Business & Technology - Global Objects focuses on digitizing the real world to create high-quality, photorealistic 3D assets for AI training and various applications [2][3] - The company utilizes advanced technologies like high-precision lasers, photogrammetry, photometric techniques, and lidar to capture objects with thousands of pictures each [11][20] - They leverage NVIDIA RTX A6000s and NVIDIA H100 GPUs on Azure Cloud for processing large scan data into AI-ready digital assets, enabling scalability and competition with larger computational companies [12][13] - Their tech stack is procedurally driven, ensuring high fidelity and accuracy in object models, aiming for digital twins that are indistinguishable from real objects [4][11] Market Opportunity & Applications - The demand for 3D data is growing exponentially as AI systems require more detailed and granular information for training [1][2] - Digital twins have numerous applications across industries, including gaming, media and entertainment, robotics, medicine, real estate, retail, and CPG [9][10] - Global Objects aims to provide authentic object models for various industry verticals, enhancing human operation and training in areas like electric vehicle repair and PPE equipment inspection [4][15][16][17] Strategic Partnerships & Infrastructure - The company's relationship with Microsoft and NVIDIA is crucial for internal learning, uptime, and delivering speed, efficiency, and fidelity to clients [4][14] - They utilize Azure Blob storage and data replication across global regions to enable teams in different time zones to work collaboratively [22] Cultural Preservation & Future Vision - Global Objects is involved in cultural preservation by digitizing artwork and environments for museums like MOLAA, allowing global access and providing detailed references for conservation [23][24][25] - The company envisions a future where 3D data is essential, striving to make photorealistic 3D accessible to everyone and ensuring authenticity in AI-generated objects [26][27][28]