About Our Text Analytics NLP Solutions

Nathaniel is an experienced financial industry executive with nearly two decades working as an investor, entrepreneur and business builder. Before co-founding Amenity Analytics, he served as Managing Partner of Pilgrim Hill Capital, where he provided equity-related capital and strategic advice to small and mid-cap companies. Previously, Nathaniel served as Partner and Senior Portfolio Manager at Swieca Holdings/Talpion Fund Management, Partner and Head of Equities at One East Partners, and Head of Merger Arbitrage Research and Event-Driven Healthcare at Highbridge Capital Management. Mr. Storch began his career with Morgan Stanley as an analyst in the Mergers, Acquisitions and Restructuring Group and is a member of the Young Presidents Organization. Nathaniel graduated from Harvard College with a BA in Government.

Prof. Feldman is a world-leading expert in the field of text-mining. He coined the term “text mining” over two decades ago and has authored the Text Mining Handbook published by Cambridge University Press as well as 80+ academic treatises on text mining and information extraction. His first text mining systems were developed for top intelligence units, and twenty years of improvements have given rise to Amenity Analytics. Prof. Feldman co-founded two companies prior to Amenity Analytics (ClearForest, acquired by Reuters in 2007 and Digital Trowel), and served as a consultant for Nice Systems Ltd., the Bank of Israel, and Standard & Poors.

Maoz is a technology executive with experience in R&D, software engineering, tech development and deployments. Based in Israel, Maoz brings his experience from previous roles in Rafael Advanced Defense Systems, Pelephone and Ginger Software.

Doug spent his career in Investor Services Sales and Trading for two Banks living in London, Tokyo, and Chicago before jumping into Alternative Data in 2016. Doug is passionate about the transformation in Finance across both Alternative data and turning Traditional data into Quantitative and Quantamental data.

Scott is an experienced data scientist with expertise in creating data-driven products in financial markets. Scott is a passionate financial markets participant with previous roles within trading. An expert data scientist well versed in creating natural language processing models with a focus on machine learning.

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