Trusted by
Improved access to your city
with SpatialGPT
USE CASE
More
efficient
city
administration
Question
Which and how many traffic signs are there along the shopping arcade between the city park and the main station? Are all safety regulations observed?
SpatialGPT
318 traffic signs were recognized. Details can be found in the 3D map and in the pdf. All regulations are complied with.
USE CASE
Engaging
citizen
participation
Question
Where is a barrier free elevator close to a disabled parking spot that can take me to the subway?
SpatialGPT
Based on your location the best access to the subway is from the parking at city hall, then 50 meters to the elevator with no barrier.
BENEFITS
We provide value
Rich data
Fully exploit the value of your spatial and visual data by connecting and extracting anything from traffic signs to full LoD3.3 models.
Accessible insights
Your 24/7 GIS expert: speak your query, get an expert reply instantly. This broadens the scope of data utility, benefitting city officials & citizens alike.
Engaged stakeholders
Foster enhanced civic and stakeholder engagement to streamline urban planning processes.
FEATURES
How SpatialGPT works
Semantic 3D auto-labeling
SpatialGPT automatically extracts semantic info about objects from images to enrich a 3D twin with an understanding of their spatial relationships.
SpatialGPT serves as a natural language UI that understands user queries, executes data processing tasks & delivers the desired outputs.
Intuitive 3D Visualization
All information is visualized through an intuitive 3D viewer that can stream city scale 3D models and facilitate engaging interactions.
CUSTOMER VOICES
Early adopters are saying
SE3 has been an invaluable development partner who allowed us to cut down development time from a year to months. Their expertise in AI and 3D is unmatched.
Martin Pfeifle
CTO, NNG
CONTACT
Talk to us
TEAM
Lukas
Koestler
Lukas has extensive experience in 3D computer vision, working with Nvidia Research, Tesla Autopilot, the startup Artisense, and BMW Autonomous Driving. He studied at TUM, Ecole Polytechnique, ETH Zurich, and the University of Notre Dame.
Simon
Klenk
Simon's expertise lies in event cameras and 3D vision, working at Robert Bosch GmbH, the startup Deepfield Robotics, and fortiss GmbH. His international experience spans Michigan, Singapore, and UZH & ETH's Robotics and Perception Group.
Christoph
Bonik
Chris has hands-on experience in company building, fundraising, business development and assembling world-class teams. He is Managing Director of Bonik Sustainable Facade. His previous roles include COO of Artisense and Assistant Manager at KPMG. He holds a CEMS Master in International Management.
Daniel
Cremers
Daniel is a distinguished professor with 400+ publications in vision and AI. He has founded successful companies, including Artisense Corporation. Daniel received the 2016 Gottfried Wilhelm Leibniz Prize, the highest award in German science.
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