Lookal revenue, team size, customer count, churn, and more in 2026.

The mobile search query volume in the United States to date is 142 billion, thus there must be a mechanism to link applicable keywords or phrases to images, but with large product repositories, it becomes nearly impossible to manually audit or populate missing or mislabeled data. For every 1x dollar spent on Third-Party Data Labeling, 5x dollars are spent on internal data labeling efforts. Incorrect labeling makes search results less likely to match what customers are looking for, deeming all sales opportunities lost. Cal is a geo search engine that utilizes ownership and rewards for users that label and tag keyword apparel to create a material difference with regards to brand loyalty. The key to this approach is a system that encourages speculative ideas even though they have only slim possibilities of success by enhancing user engagement and consumer personalization with an interactive landscape of recommendations, Cal doesn’t determine style, but instead offers diverse suggestions based on location. The speculative idea in this scenario is a dress code which Cal decodes by place, atmosphere, time, crowd and season. Cal’s value is to consistently bring simple and concise suggestions to ease decisions with minimal effort.