Tictag aims to build the future of the AI economy. Founded in 2019 by a team of AI veterans, this Singapore-based startup, with an operational base in South Korea, has developed a user-friendly, fully-integrated, mobile-first platform. It leverages cutting edge AI augmentation and scalable human-in-the-loop crowdsourcing achieve the highest quality in the collection and annotation of image, text, or audio datasets for the training of LLMs (for generative AI), or machine learning, as well as the fine-tuning and deployment of AI and machine learning models.

Tictag’s technology features its mobile app, available on iOS and Android and boasting over 17,000 users, contributing to the development and quality of AI datasets. This commitment to accuracy and scalability is reflected in its Truetag system, which targets up to 99.97% accuracy through a hyperfocus on quality assurance and quality control, something that is currently heavily overlooked in the market. 

Beyond providing data solutions, Tictag is also dedicated to social good. Through the Tictag #GoodData4Good initiative, we collaborate with companies aiming to make a positive social impact, providing persons with disabilities or from underprivileged backgrounds with opportunities to earn income via an integrated payments system on the Tictag app.
When it comes to data annotation, we know that the three most important aspects are accuracy, speed, and cost. We have quality control processes in place to ensure that the data is accurately labelled. Plus, having a large community of taggers to label the data makes the whole process much faster while bringing costs down too.

​If you’re tired of going through endless amounts of data and want a solution, chat with us today!

AI/ML

Data

Mobile

Quality Assurance

Social Impact

Tictag

Kevin Quah

Chloe C.

Goh Yu Xuan

Lee Jin

Kenneth Tan

Yihang L.

Tictag

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