We offer our clients a wide range of solutions for their data collection challenges: problems ranging from indoor localization to traffic monitoring, from social media monitoring to information retrieval quality on non-web devices.

The efficacy of any machine learning (ML) algorithm is largely dependent on the quality of the training data. Hence, in order to usher in the AI age, we need good quality data for any application of AI. Current data annotation services use crowd-sourcing to make a scalable business model. However, data annotations done by remote, anonymous annotators introduces risks in both confidentiality as well as quality of the training data thus produced. Tika aims to solve the problem of scalable non-crowd-sourced data annotations comprehensively so as to fuel to AI age.

Mission:“Provide a revolutionary data annotation platform that offers high quality labelled data, annotated in secure environments, to serve the needs of enterprise clients.