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Datatailr

The world of data is complex, and transforming large datasets into signals quickly is increasingly challenging. Most teams spend weeks migrating data into centralized warehouses, setting up development environments, configuring cloud infrastructure, building CI/CD pipelines and orchestration layers - creating costly delays and operational friction before they can execute a single trade. Datatailr offers a different approach - purpose built by financial engineers and quants for financial institu[1][2]

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Overview

Datatailr is listed as a data-AI company in the New York City AI scene[1]. The company addresses challenges in data transformation, noting that teams typically spend weeks migrating large datasets into centralized warehouses, setting up development environments, configuring cloud infrastructure, and building CI/CD pipelines and orchestration layers before executing trades[2]. Datatailr offers an alternative approach designed by financial engineers and quants for financial institutions[2]. According to LinkedIn, the company has 26 employees and operates in the software development industry[3].

Business address: 1177 Avenue of the Americas, New York, New York, 10036. [6]

Growth & traction

LinkedIn lists 26 people working at Datatailr. [4]

Leadership & org chart

Focus

  • Datatailr describes itself as "Accelerated AI Research Platform. Turn ideas into signals at AI speed.".[5]

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