
11 - 50 employés
Fondée en 2021
🤖 Intelligence artificielle
🏠 Immobilier
💰 Seed Round en 2024-09
Artificial Intelligence • Real Estate
Syte est une plateforme de premier plan qui utilise l'intelligence artificielle pour transformer le secteur de l'immobilier. Elle propose divers outils, notamment des plans de rénovation, des analyses du potentiel des propriétés et des évaluations énergétiques, le tout en temps réel. Les solutions de Syte sont destinées aux intermédiaires financiers, aux municipalités, aux urbanistes, aux promoteurs immobiliers et aux gestionnaires immobiliers, leur fournissant des informations basées sur l'IA pour des décisions d'investissement et de développement.
🕒 il y a 18 jours
🗣️🇺🇸🇬🇧 Anglais requis
🗣️🇩🇪 Allemand requis
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11 - 50 employés
Fondée en 2021
🤖 Intelligence artificielle
🏠 Immobilier
💰 Seed Round en 2024-09
Artificial Intelligence • Real Estate
Syte est une plateforme de premier plan qui utilise l'intelligence artificielle pour transformer le secteur de l'immobilier. Elle propose divers outils, notamment des plans de rénovation, des analyses du potentiel des propriétés et des évaluations énergétiques, le tout en temps réel. Les solutions de Syte sont destinées aux intermédiaires financiers, aux municipalités, aux urbanistes, aux promoteurs immobiliers et aux gestionnaires immobiliers, leur fournissant des informations basées sur l'IA pour des décisions d'investissement et de développement.
• Combine 2D cadastral data, LiDAR point clouds, oblique aerial imagery, nadir satellite imagery, and other sources in a unified model • Integrate image data and modern 3D reconstruction methods such as Multi-View Stereo and Gaussian Splatting into the product • Improve building models • Texture models using oblique aerial imagery • Detect windows, doors, and façade elements and consistently project them onto the correct building surfaces • Implement Multi-Image Super-Resolution and Occlusion-Aware Reconstruction • Scale methods from individual buildings to millions of buildings in collaboration with Data Engineers • Use modern AI coding tools such as Claude Code and Copilot • Proactively identify new AI use cases for computer vision and 3D reconstruction
• Master’s degree in a technical discipline, such as Computer Science, Geographic Information Systems, Geoinformatics, Physics, or Mathematics • At least four years of professional or research experience in (urban) 3D reconstruction, computer vision, and photogrammetry • Experience developing functional products or prototypes • Strong knowledge of photogrammetry and remote sensing, including sensor and camera models, calibration, and interior and exterior orientation • Practical experience combining airborne LiDAR and aerial imagery to create metrically accurate, georeferenced data • Strong background in geometric and 3D computer vision, including Structure-from-Motion, Dense Multi-View Stereo, and point cloud processing • Practical experience generating building models from point clouds and imagery • Proficiency in Python and relevant libraries such as NumPy, SciPy, PDAL, GDAL, and OGR • Experience with version control, particularly Git • Fluent English, at least C1 level • Interest in the PropTech sector • Experience in PropTech, architecture, or real estate is a plus • Willingness to learn and interest in cloud technologies and AI • Experience with cloud technologies, ideally Google Cloud Platform, is a plus • German language skills are a plus
• Competitive salary • State-of-the-art hardware and software • Two-day team retreats each quarter • Workations and the opportunity to work privately from abroad • Dogs welcome in the office • Personal annual benefits budget of €2,200 • Budget for professional and personal development • Budget for workspace equipment in addition to the initial Apple hardware • Tax-optimized benefits such as tax-free non-cash benefits, an internet allowance, mobility allowance, vacation subsidy, or childcare allowance • Health and wellbeing budget, for example for Urban Sports Club, physiotherapy, or vacations • Business bike leasing
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