The efficacy of any machine learning (ML) algorithm is largely dependent on the quality of the training data.
Confidentiality in data handling
We do not crowd-source data on mobile apps for annotation. All annotation work is done behind secure networks by dedicated employees, with data confidentiality strictly maintained.
Wide range of data annotations
We provide a wide variety of data annotation services, from text analysis to sentiment analysis, from traffic video labeling to 3D model point cloud. We also offer unique data collection solutions.
Tika aspires to enable regular businesses to make full use of their raw domain-specific data, transforming it into a form that ML algorithms can process and deliver results that improve business.