Tictag built an innovative, gamified, mobile-first platform for AI and data teams to collect, categorise and manage data on their phones.
Current Status
Completed MVP. Getting 10 sticky clients and testing our product-market fit. 3 recurring clients in 2 main markets
Problem or Opportunity
Frustration with low quality, expensive, unstructured data in the field of Artificial Intelligence. Speed - It often takes months to collect data, and weeks to label training datasets Cost - Expensive to obtain vast quantities of the right data. AI projects range from $20k to $5m. Up to 80% is spent on data. Accuracy - Quality of data is the biggest challenge. Garbage in, garbage out. Manpower - Labelling tasks are often complex and require specific, complicated software unsuited for low-skilled workers.
Solution (product or service)
bridge the gap between people who have time to deal with data and the companies that don’tTictag was founded with the single-minded focus to make data easy and accessible.
Business model
PER DATA UNIT - Per data unit, per job, depending on the complexity of the data type and effort involved.
MONTHLY SUBSCRIPTION MODEL - For clients that need a consistent flow of data, at a lower cost per data unit than per-job
TAGGER INCOME - Our Tictag Crowd includes seniors and the underprivileged.
