Alexander Forell

Principal Implementation Engineer at Makersite

Alexander Forell is an experienced engineering professional with a strong background in implementation and consulting. Currently serving as Principal Implementation Engineer at Makersite since April 2021, Alexander previously held the role of Senior Implementation Engineer. Prior to this, Alexander worked at IAV GmbH from January 2018 to April 2021 as Entwicklungingenieur LCA. Alexander's career began at thinkstep, where roles included Senior Consultant and Werkstudent from November 2006 to December 2017. Additionally, Alexander gained early experience as a Werkstudent at Daimler AG from November 2007 to March 2008.

Location

Dresden, Germany

Links


Org chart

No direct reports

Teams


Offices

This person is not in any offices


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.


Industries

Employees

11-50

Links