Otherwise, data annotations are done by business process outsourcing entities for companies
working on AI. This comes at a high cost. Mall says data annotation is labour-intensive. For companies working on autonomous driving, each hour of data collected takes almost 800 human hours to annotate. It takes about 100,000 images and a week of teaching for a computer to safely learn a traffic situation. When you drive, there are multiple decisions you need to make among so many uncertainties — weather, lighting, type of vehicles, one-ways, etc, he said.
With a 30-people team, the company claims to be providing the same throughput as a 1,200-seater BPO. “We have built state-of-the-art tools specifically targeting companies working on AI and provide a fully managed service with enterprise grade SLAs (service level agreements).”
The start-up is betting highly on the AI market, which is predicted to grow to $47 billion in 2020, says market research firm International Data Corp. The competitors to Playment are Amazon mTurk, Crowdflower and Mighty AI. “But we are significantly cost-effective. Further, no one else provides a fully managed service,” said Mall, who is the chief executive. The company has Flipkart, Olacabs, Paytm and the Alibaba Group as clients. There are original equipment makers, start-ups and suppliers in autonomous driving, satellite imagery, facial recognition, e-commerce and optical character recognition. Over half the revenue comes from global customers.
Mall says Playment has generated 50 million tags till date and the current capacity is to process over a million a day (equal to 10,000 man-hours daily).
The company has a custom pricing model that depends on the project scale and complexity. It also has a few annual contracts. In July 2016, Playment had also raised $700,000 from SAIF Partners. “We would be expanding our product, engineering, and data science teams to build a complete suite of services for all kinds of AI use cases, improving our quality models and build an internal AI research lab. Ajinkya would be setting up an office in the Bay area, in Silicon Valley,” he said.