Redbird

Redbird

AI-powered data analytics automation platform for businesses.

HQ location
Paris, France
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Seed
Total Funding000k
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Redbird is a New York-based technology company that has developed an AI-powered data analytics platform for both technical and non-technical users. Formerly known as Cube Analytics, the company rebranded to Redbird in September 2022. The platform is designed to automate and unify analytics work, enabling teams to handle data-intensive tasks without writing code. It features tools for streamlined data ingestion from various sources, ETL (Extract, Transform, Load) automation, data science modeling, and the creation of custom applications.

The company's mission is to make advanced analytics accessible to all employees within an organization, regardless of their technical skills, through a no-code/low-code interface. Redbird's platform serves a wide range of business functions, including finance, marketing, customer insights, business intelligence, and data engineering. For instance, it can automate the creation of PowerPoint reports, consolidate data from different financial tools, optimize marketing campaigns, and streamline complex data engineering workflows.

Redbird was founded by Erin Tavgac (CEO) and Deren Tavgac (COO). The company participated in the Winter 2022 batch of the Y Combinator accelerator. In October 2022, Redbird announced a $7.6 million seed funding round led by B Capital, with participation from Y Combinator, Thomson Reuters Ventures, Alumni Ventures, and Soma Capital. This brought its total funding to $8.1 million over three rounds. The company's business model is likely subscription-based, targeting enterprises that require deeper automation and orchestration across their data lifecycle.

Keywords: data analytics, automation platform, no-code, low-code, business intelligence, data integration, ETL automation, data science, marketing analytics, financial reporting, AI-powered analytics, custom applications, data workflows, Y Combinator, Erin Tavgac, Deren Tavgac, Cube Analytics, data ingestion, data wrangling, customer insights

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