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STF Labs

Intelligent automation

By analyzing vast amounts of data, we uncover patterns and insights that inform smarter, more sustainable building practices. Our work focuses on integrating AI-driven solutions to optimize architectural workflows, enhance predictive modeling, and create adaptive, resilient structures that meet the evolving needs of urban environments. Through collaboration with industry leaders and continuous experimentation, we aim to push the boundaries of what’s possible in architecture, ensuring our designs are not only aesthetically pleasing but also efficient and environmentally responsible.

AI Rendering

Through collaborations with leading AI rendering companies and access to cutting-edge pipelines, photorealistic visualisations are achieved at break-neck speed. These capabilities revolutionize the design process; providing instantaneous visualizations, enhancing client communications, and streamlining project workflows.

Database Curation

A collection of proprietary database and workflows enables the delivery of projects with unique design visions. Our team of architects and technologists collaborates closely, integrating their expertise with advanced AI technologies. This synergy creates a superpowered AI-human design team, capable of producing innovative, highly customized solutions that push the boundaries of architectural design.

AI-BIM-Frontier

Diffusion models and LLMs have already made an impact on our concept design workflow, but our research is focusing on the next frontier: AI in BIM and construction. By integrating AI into a BIM workflow, it will enhance design precision, optimize resource use, and accelerate project timelines. A spatial-data driven deep learning model will enable us to generate detailed 3D models efficiently, translate them into comprehensive BIM datasets, and facilitate seamless coordination during construction.

AI-Simulated Urbanism

Our ongoing research in AI-simulated urbanism aims to revolutionize city planning by harnessing advanced AI simulations and generative algorithms. Collaborating with large dataset providers, we strive to use digital twin technology to create virtual replicas of urban environments for real-time analysis. This research blends visionary and practical urban design, integrating with existing environments and anticipating future needs. Our goal is to develop smart, resilient urban spaces that enhance residents’ quality of life and promote sustainable development.

Intelligent automation

By analyzing vast amounts of data, we uncover patterns and insights that inform smarter, more sustainable building practices. Our work focuses on integrating AI-driven solutions to optimize architectural workflows, enhance predictive modeling, and create adaptive, resilient structures that meet the evolving needs of urban environments. Through collaboration with industry leaders and continuous experimentation, we aim to push the boundaries of what’s possible in architecture, ensuring our designs are not only aesthetically pleasing but also efficient and environmentally responsible.

AI Rendering

Through collaborations with leading AI rendering companies and access to cutting-edge pipelines, photorealistic visualisations are achieved at break-neck speed. These capabilities revolutionize the design process; providing instantaneous visualizations, enhancing client communications, and streamlining project workflows.

Database Curation

A collection of proprietary database and workflows enables the delivery of projects with unique design visions. Our team of architects and technologists collaborates closely, integrating their expertise with advanced AI technologies. This synergy creates a superpowered AI-human design team, capable of producing innovative, highly customized solutions that push the boundaries of architectural design.

AI-BIM-Frontier

Diffusion models and LLMs have already made an impact on our concept design workflow, but our research is focusing on the next frontier: AI in BIM and construction. By integrating AI into a BIM workflow, it will enhance design precision, optimize resource use, and accelerate project timelines. A spatial-data driven deep learning model will enable us to generate detailed 3D models efficiently, translate them into comprehensive BIM datasets, and facilitate seamless coordination during construction.

AI-Simulated Urbanism

Our ongoing research in AI-simulated urbanism aims to revolutionize city planning by harnessing advanced AI simulations and generative algorithms. Collaborating with large dataset providers, we strive to use digital twin technology to create virtual replicas of urban environments for real-time analysis. This research blends visionary and practical urban design, integrating with existing environments and anticipating future needs. Our goal is to develop smart, resilient urban spaces that enhance residents’ quality of life and promote sustainable development.