Supahands Releases New Website to Match Growing Demand in Artificial Intelligence & Machine Learning

Supahands, a training data provider for Artificial Intelligence and Machine Learning, announces its newly designed and updated website. This decision is in tandem with the surge of implementation of Artificial Intelligence and Machine Learning within key sectors such as the retail & e-commerce, computer vision and autonomous vehicles industries.

The optimized and updated website showcases the streamlining of the company’s solutions -Image Annotation, Data Tagging & Categorization & Data Transcription- to allow for laser-focused growth. The firm’s leveraging of its localized and diversified Asian workforce as an edge against its competitors is also reflected across the website.

The website features a design that is fresh, fun, yet professional to symbolize the company’s approach and to reflect the culture that has been built within Supahands.

“We are very excited to share the latest version of our website which our team has worked very hard on,” said Mark Koh, CEO of Supahands. “We hope that the clean design and enhanced content will clearly communicate how we can help clients improve their Machine Learning models by providing them with training data with speed, scale and accuracy.”

The application of Machine Learning and Artificial Intelligence while still in its early stages has been growing at an alarming rate. In its 2018 Technology, Media and Telecommunications report, Deloitte Global forecasted that the rise in implementation and pilot projects will “double compared with 2017 and double again in 2020” 1 . This presents a great outlook for Supahands as most Machine Learning and Artificial Intelligence models require large amounts of accurate training data before they can be put into effect.

As one of the few training data providers within Southeast Asia, Supahands already works with a few key clients in the Machine Learning industry and is strategically positioned to experience rampant growth as the market demand and implementation of Machine Learning increases.

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