About Spatious Data
The next wave of physical AI will require vast amounts of spatial-temporal training data. Our founding team's conviction was sharpened through direct engagement with U.S. policymakers and industry professionals.
It became clear that America's competitiveness in robotics depends on solving access to diverse high quality training data, and that no one has yet stepped up to set the standard.
Spatious Data was founded to do exactly that.
Curtis Lederle
Curtis has held roles in technology, energy, engineering and finance companies across San Francisco, Toronto, Montreal, Minneapolis and New York. He was the first U.S. hire for three international companies where he launched the US market entry. Curt has led corporate development, negotiations and go-to-market across utility scale energy asset management, enterprise software APIs, consumer SaaS and private equity.
Andrew Herzfeld
Andrew brings to the team more than a decade of executive experience in finance and strategy roles. His experience is international, spanning three continents: Asia, Europe, and North America. After earning a master’s degree in energy and finance from the École des hautes études commerciales de Paris, Andrew began his career in venture capital in Switzerland with a focus on clean energy technology. He has been the CFO of multiple companies across industries and countries.
Founding Story
Curtis and Andrew first met in 2017, when Curtis was working in early APIs for chatbots and Andrew was working in finance in Europe. Over the next few years they reconnected in the United States, Canada and South Korea and continued to stay in touch. Following the Chat-GPT moment of Q4 2022, they formed their first company together and have been working with large scale data sets and AI ever since. While working together at Nestpoint Group and engaging with industry professionals and policy makers in the robotics space, the need for high quality spatial-temporal training data became clear.
The idea for Spatious Data was born.
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