Singapore-based Tictag, a startup aiming to make data easy and accessible, has raised US$1.3 million in pre-Series A funding, led by M Venture Partners. Investible, East Ventures, Farquhar Venture Capital, and Sam Gibb (Managing Partner of Resolution Ventures) also co-invested.
Tictag plans to use the money to accelerate its expansion across Asia and enhance its technology. The startup already has operations in Singapore, South Korea, and Indonesia.
Founded in 2019 by Artificial Intelligence professionals Kevin Quah, Lee Jin and Low Yihang, Tictag aims to solve the data preparation problem faced by companies working with machine learning models. It converts complex annotation tasks into simplified bite-sized, gamified ‘quests’ on a mobile app platform.
In other words, Tictag reduces the complexity of data annotation and converts data into assets by empowering companies to collect, classify, and annotate data of all types accurately while maintaining affordability.
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In the process, companies can avoid heavy investment in developing in-house AI and ML tools and teams to collect and structure unstructured data.
Tictag, an IMDA Spark company, supports most data annotation types, including Bounding Polygons, Audio Transcription, and Named Entity Recognition.
At the same time, Tictag enables its app users, known as Taggers, to earn monetary rewards by performing simple data annotation tasks wherever, whenever.
“With this investment, we’re setting our sights on growing not only our customer base but our Tagger base and technology across Asia, tapping into the diverse experiences of our new strategic investors,” Quah CEO Tictag said. “We’re one step closer to our vision of a world where everyone can benefit from working with data.”
Besides, Tictag is launching its audio data collection and image data collection features. Companies needing to form original or bespoke quality audio rapidly and image data datasets can tap on Tictag’s platform at scale.
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