Amenity Analytics (part of Symphony) is a software company that develops cloud-based analytics tools designed to help businesses extract actionable insights from large volumes of text data. Amenity Analytics specializes in transforming unstructured information—such as financial reports, news articles, and earnings call transcripts—into structured, targeted intelligence that is easy to interpret and integrate into existing workflows.
Their platform is particularly focused on serving the financial sector, offering natural language processing (NLP) solutions that enable users to identify trends, signals, and risks within massive datasets. Amenity’s products are built to be intuitive, quick to onboard, and seamlessly fit into how financial professionals already work, reducing friction in the adoption of advanced analytics.
Who Uses Amenity Analytics?
Amenity Analytics primarily serves organizations in the financial industry, including major banks, investment firms, and insurance companies. Notable customers include Citi, Nasdaq, Evercore, Moody's, Starr, and Allstate. These clients rely on Amenity’s tools to gain deeper insights from unstructured data and support decision-making across investment, risk, and research functions.
How Was Amenity Analytics Started?
Amenity Analytics was founded by a team with deep expertise in finance, technology, and data science:
- Nathaniel Storch, co-founder and Symphony Franchise Leader, brings extensive experience from the financial industry.
- Prof. Ronen Feldman, co-founder, is a world-leading expert in text mining and natural language processing.
- Maoz Shact serves as Chief Operating Officer, drawing on his background in technology R&D.
- Douglas Hopkins, VP of Business Development and Strategic Accounts, has a career in investor services, sales, and trading.
- Scott Hesse, Lead Data Scientist, is experienced in building data-driven products for financial markets.
Their combined backgrounds allow Amenity Analytics to deliver specialized analytics solutions that address the unique challenges of financial data analysis. Learn more about their mission and technology on their About page.
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