- Published on November 16, 2021
- In AI Startups
How This Delhi-based Startup Is Building A Time Machine For AI
DataNeuron witnessed a reduction of 97 per cent in a number of paragraphs validated when compared to manual human-in-loop labelling.
- By Amit Naik
With the rapid adoption of AI across enterprises, the need for labelled data has increased significantly over the last few years. However, many companies are still using manual annotation, even to this day. This leads to human bias, affecting the model accuracy. Studies show that 85 per cent of machine learning (ML) and artificial intelligence (AI) projects fail or do not progress beyond minimal viable product (MVP) due to the quality and quantity of labelled data.
This is where New Delhi and Palo Alto-based DataNeuron comes into play. The company helps in accelerating and automating human-in-loop labelling for developing AI solutions. It automates data labelling, the creation of models, and end-to-end lifecycle management of ML. In other words, it is building a time machine for A
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Amit Naik
Amit Raja Naik, known as the 'AI Human,' serves as the editor at AIM Media House, where he leads a team of talented tech journalists who are driving and shaping technology conversations across India and around the world.
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