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Posted by Sadia Waseem
As we bid farewell to 2024, it’s the perfect moment to reflect on a year filled with innovation, growth, and global connections. From groundbreaking product launches to prestigious industry recognition, Retrocausal has made remarkable strides in empowering manufacturers worldwide. Here’s a look back at what we’ve accomplished together.
This year, Retrocausal was honored as one of the top 4 manufacturing software vendors on CB Insights’ AI 100 List, which highlights the most promising AI startups globally. This recognition underscores our commitment to reshaping manufacturing through cutting-edge technology.
Learn more.
2024 was a banner year for our product innovation:
We debuted our very own Factory Forward Podcast this year, releasing 10 episodes featuring conversations with industry thought leaders on topics shaping the future of manufacturing.
Browse through all episodes here.
At Retrocausal, contributing to the manufacturing community goes beyond our solutions—we’re committed to advancing the collective understanding of AI and manufacturing processes. This year, we had the privilege of submitting and presenting groundbreaking research at key industry conferences and forums.
Our research explored topics such as imbuing Video Language Models with fine-grained activity localization as well as unsupervised video model learning. These contributions sparked valuable discussions, fostered collaboration, and further positioned Retrocausal as a thought leader in the field.
Our team traveled worldwide to participate in key tradeshows and conferences, fostering collaboration and staying at the forefront of industry trends. Some of the highlights included:
As we close the chapter on an extraordinary year, we’re energized for the road ahead. With plans to expand our product offerings, grow our podcast series, and continue driving innovation, we can’t wait to see what 2025 holds.
Thank you to our customers, partners, and the entire Retrocausal community for making 2024 unforgettable. Here’s to building the future of manufacturing together!
Brandin and his team help our customers with setting up the Pathfinder platform and getting up-to-speed on all the features and functionalities, in addition to assisting them with standardizing their processes where needed.
Brandin is a seasoned manufacturing leader, who has spent more than a decade designing and setting up assembly lines in both the US and China, optimizing them, and working with human operators to maximize productivity and quality.
Jesse works closely with our marquis customers to understand their needs, and figures out the best solution that immediately adds dollars to their bottom line.
Jesse has two decades of enterprise sales experience. He has held sales leadership roles at pioneering technology startups.
Andrey takes inventions and converts them into innovations. He leads our product engineering team to turn our scientific prototypes into robust customer-facing products.
Andrey co-founded and successfully exited a startup to immigrate to the US. He spent his next eight years building the core data science infrastructure for Amazon’s supply chain planning team, and the CV/ML infrastructure for Microsoft’s HoloLens organization.
Zeeshan focuses on delighting our customers by understanding their needs and defining product and strategy to meet and exceed these needs. He works closely with our sales leadership to grow our customer base.
Zeeshan was a scientific leader at Microsoft’s HoloLens division, where he invented AI technologies to assist frontline workers across industries. Earlier, he shipped IoT platforms and visual defect detection software for manufacturers at Siemens and MVTec GmbH.
Huy takes our product roadmap and figures out what’s achievable with today’s AI advances, and what we need to invent to solve our customers’ pain points.
Huy led teams of scientists and engineers at NEC and invented technologies for driver assistance systems that are part of 500,000+ Honda cars. He is an inventor on more than 20 US patents, and his research papers are cited by every lab from MIT, Stanford, and CMU to Apple, Google, and Baidu.
