Mirage Technologies AG (WhatToLabel)

WhatToLabel is a solution to improve machine learning models by curating data. We achieve this by offering an intuitive user interface to manage the datapool and oversee all data in combination with AI assisted data curation and filtering techniques.


Introduction and Analysis of WhatToLabel's Seed Round Pitch Deck

About Mirage Technologies AG (WhatToLabel)

Mirage Technologies AG, widely known as WhatToLabel, is an innovative startup emphasizing the improvement of machine learning models through expertly curated data. Launched in 2018, WhatToLabel presents a user-friendly data management solution, focusing on AI-assisted data curation, filtering, and efficient datapool oversight. The company is driven by the mission to evolve the machine learning space by refining model accuracy, thereby introducing a higher level of reliability.

About WhatToLabel's PitchDeck

During the seed funding round in 2018, Mirage Technologies AG (WhatToLabel) successfully secured $0.25 million to propel the ongoing development of its breakthrough platform. WhatToLabel's pitch deck served as a powerful testimony of the startup's unique strategy regarding data curation. it emphasized on its potential to overcome the commonly-faced hurdles in the sphere of machine learning models. The pitch deck is the company's articulate vision translated into a presentation, pushing the boundaries of contemporary data management techniques.

Why Investors Believed in Mirage Technologies AG (WhatToLabel)?

Investors were largely impressed by Mirage Technologies AG's dedication towards altering the machine learning paradigm via advanced data management tactics. This conviction stemmed from the clear and potent vision that WhatToLabel showcased in its pitch deck. The promise of a refined and comprehensive solution for enhancing the accuracy and reliability of machine learning models further intrigued investors, leading them to believe strongly in the company's future. Hence, Mirage Technologies AG managed to acquire substantial funding in its initial round.

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