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Soren Larson
Founder of Crosshatch
United States
Overview
Soren Larson is a seasoned professional with a background in e-commerce, data science, and artificial intelligence. Currently serving as the Co-founder and CEO of Crosshatch, he has held key roles at prominent organizations such as Walmart as Director of Data Science and Consumer Edge as Chief Data Scientist.
Highlights of his career include founding a startup and leading data science teams at major corporations like Walmart, showcasing his expertise in leveraging data and analytics to drive business success. Larson's current role as CEO of Crosshatch demonstrates his leadership skills and entrepreneurial spirit in developing personalization infrastructure for the Internet.
Work Experience
Cofounder + CEO
2023 - Current
Crosshatch enables developers to build hyper-personalized applications with data users share.
Crosshatch is the identity layer for personalization, enabling developers to build hyper-personalized apps with context users share.
Raised $2,700,000.00 from Scott Belsky, Michael Rubenstein, 640 Oxford, Village Global, Impatient Ventures, Rackhouse Venture Capital and Baselayer Ventures.
Data Science
2021 - 2022
I was the first data science hire + developed data and algorithms to identify and filter target Shopify merchants by estimated revenue. I also lead the design of a scalable JavaScript package to develop rich and consistent first party events data over arbitrary Shopify stores toward personalization of any even anonymous customer impression. OpenStore is now a Series B startup backed by Khosla Ventures, General Catalyst, Founders Fund, Lux Capital and Atomic.
OpenStore connects merchants and customers into a single unified shopping experience through access to data, information, and capital.
Raised $137,000,000.00 from Lux Capital, Vine Ventures, Founders Fund, Khosla Ventures, General Catalyst and Atomic.
Director, Data Science
2019 - 2021
I managed a small team of data scientists/engineers to develop services powering Store No. 8's Shopping Automation. We applied machine learning techniques to estimate what groceries customers would need next, partnering with Engineering + Product to productize these estimates. Lead the R&D of hardware + machine learning perception services to estimate groceries remaining in a consumer refrigerator. Our team developed and patented a pressure sensor + ML prototype that sent push notifications whenever a fridge grocery item ran low.
Walmart is a retail corporation that operates several chains of supermarkets, discount stores, and e-commerce platforms.
Raised $5,000,000,000.00.
Chief Data Scientist
2017 - 2018
Consumer Edge is a preeminent consumer data solutions company with institutional investor and corporate clients that raised $60mm from Coventure Q12023. I founded and led a small data science and engineering team that launched a new consumer credit card data suite to tier 1 institutional investors with $xxM revenue. I developed a now-industry standard data privacy technique to unlock the data that protects against reverse identification patterns, while preserving data statistical properties. I also sourced and managed a designer who led the company re-branding and product architecture + marketing.
Director, Artificial Intelligence
2016 - 2017
Pypestream is a customer service platform using NLP, started just before IBM Watson won Jeopardy. I managed a small team developing a dialog framework from scratch that powers the self-service development and operation of automated customer service solutions used by the Fortune 500. Customers could build chat services that could call and take action with arbitrary third party endpoints, namely, an early (and naive) form of function calling. Responsible for prototype software development + in-house tools + QA tooling, delivering $Xmm revenue.
Pypestream is conversational artificial intelligence built for scale.
Raised $46,531,487.00 from W. R. Berkley, The Chatterjee Group, Richard Braddock and Plug and Play Insurtech.
Founder
2015 - 2016
Instagram audiences analytics pre IG business analytics. I developed distributed infrastructure to ingest Instagram influencer follower photo metadata of >1B photos. I used machine learning techniques to estimate follower characteristics from metadata. I met with firms like Tiffany and IMG to help them make better decisions about influencers and their value. Instagram changed API access policies blocking this access pattern.
Data Scientist
2014 - 2015
Integral Ads is a media quality company, helping advertisers buy impressions that count. I developed and shipped a novel semi-supervised ML ad-fraud service that solved a sparsity problem in global ad-fraud detection, enabling the launch of our service worldwide.
Research Associate
2011 - 2013
Causal foreclosure + bankruptcy modeling.
Research Assistant
2010 - 2010
Econometric modeling in economic development projects.
Latest Articles
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The Future of Tech Was Always New York
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Social Media and the Deterioration of Truth
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The Destruction of Everything but Silicon and Gucci
Talks about Startup, Disruption and Artificial Intelligence