Makersite
Fabian Hassel has extensive work experience in the fields of environmental reporting, management, and product sustainability. Fabian has held various roles throughout their career, starting in 2008 as a Consultant at PE International, where they focused on life cycle assessment and product sustainability. In 2011, they joined PE North West Europe as a Senior Consultant, leading product lifecycle assessment projects in the Nordics and Great Britain. From 2012 to 2014, they worked at thinkstep, serving as the Team Leader of the data team and later as a Product Manager, responsible for the maintenance and development of the GaBi Database. In 2014, they joined Emisoft AS and held multiple roles, including COO and Product Director, where they played a key role in the company's strategic reorientation and rebranding. Most recently, in 2018, they became the VP of Services at Makersite. Overall, Fabian Hassel has a strong background in environmental and product management, with emphasis on data quality assurance, life cycle assessment, and sustainability.
Fabian Hassel completed a Bachelor of Science (BSc) in Forestry from The University of Göttingen from 2001 to 2005. Fabian then pursued further education and obtained a Diplom in Geoökologie from Technische Universität Braunschweig from 2006 to 2008.
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Makersite
Makersite is a cloud-based product data management tool that helps companies manage product sustainability, cost, and compliance. Product life cycle management involves making design decisions based on multiple criteria including cost, compliance, sustainability, and risk. Unfortunately, the data and expertise required to make these decisions aresiloed. This protracts the process of innovation and increases its complexity. Today, the market solves this problem with vertical applications like PDM, ERP, CAD, EHS, SCM, etc. These mostly remain siloed due to the enormous costs of integration and keeping data synchronized. Therefore, analyses typically require exporting data to aggregation tools e.g. BI or excel before being used for analyses in specialist decision support applications. Results are typically delayed, some taking as much as 9 months, and therefore provide little support during the design process. Makersite provides results instantly and simultaneously across key product criteria.Makersite combines external and internal data sources to create a digital twin of a product in design. Artificial intelligence and its graph-based data model allow for ingesting, representing, and connecting heterogeneous data easily. Its native applications use algorithms to support analysis and decision-making based on multiple criteria simultaneously including should-costs, regulatory compliance, life cycle impacts (LCA), supply chain risk, etc. The API-first architecture allows for easy integrations into existing IT infrastructures thereby supporting systems and processes with richer, fresher, and more timely product data.This allows engineers to understand and improve their designs from the perspective of their regulatory compliance, environmental impact, supply risk, and cost of production, simultaneously. Companies can get results up to 40x faster than traditional methods while making their products better.