Most with a degree in multiple of the fields, we think of buildings a little differently. With our unique profile we are experts at understanding the underlying principles of architecture and translating it into code.
Head of Machine Learning & Technology
Gothenburg
Alex leads our technical infrastructure and AI strategy. With an M.Sc. in Complex Adaptive Systems and a background in full-stack development, he integrates cutting-edge technology to boost platform performance and productivity. As the architect of our proprietary AI systems, he continuously advances our technical capabilities.
Chief Technology Officer
Gothenburg
Erik is our CTO and a founding half of Parametric. With a M.Sc. in Complex Adaptive Systems and a B.Sc. in Architecture and Structural Engineering, he is an expert at combining design logic with AI and machine learning.
Head of Backend Development
Lund
Henrik is our go-to expert for all things backend. He oversees the system architecture and ensures everything runs securely, smoothly, and efficiently. With a passion for performance, DevOps, and system optimization, he always keeps our infrastructure robust and production ready.
Head of Computational Design
Stockholm
Martin bridges the gap between architectural thinking and computational logic. With a M.Sc. in Architecture and Urban design and deep passion for coding, he translates spatial ideas into structured algorithms. He’s the driving force behind the geometric design logic we’re building that enables the exploration of new architectural design concepts through code.
Head of Customer Insights & UX
Stockholm
Simon serves as the crucial link between architectural practices and product execution. With his M.Sc. in Architecture and Urban Design, he ensures Hektar's roadmap and code-base is defined by architectural integrity and intuitive user experience– thriving on dialogue with architects and design professionals while always meeting AEC industry demands.
Chief Excecutive Officer
Gothenburg
Sofia is our brilliant CEO, constituting the other half of the founding duo. With a M.Sc. in Architecture and Urban Design she specializes in combining architecture and algorithms to investigate a wide scope of design.
February 26, 2026
This article explains how early-stage feasibility in real estate development functions as a form of risk compression. It outlines why traditional single-concept workflows create path dependency, and how generative, constraint-aware scenario testing enables developers to compare alternatives before committing capital. The article links both a conceptual definition of early-stage feasibility and a practical case study testing 600 housing units under a 50% site coverage constraint.
We aim to get back to you within 1-2 business days. However, depending on the topic answering times may vary. For urgent matters, please call us on +46 70 559 41 16.
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