Playment: Building the blocks of artificial intelligence

(From left) Playment co-founders Akshay Lal, Ajinkya Malasane and Siddharth Mall.
Artificial intelligence (AI) might be a buzzword for modern businesses but machines are smart only when fed with data to think and act like humans. Playment, a Bengaluru-based start-up, aims to serve the purpose of providing high-quality training data, though its people work from home, for computer vision-based companies.

Founded in 2015 by Siddharth Mall, Ajinkya Malasane and Akshay Lal, all IIT graduates who have worked for Flipkart, Playment raised $1.6 million recently as part of a pre-Series-A funding from Y Combinator, SAIF Partners, Sparkland Capital and Silicon Valley angel investors Ryan Petersen (CEO, Flexport), Max Altman, among others.

“We’re building the annotation infrastructure which will help a generation of AI companies train their models and bring products to the market. We do this via our managed ‘work from home’ community of 250,000-plus users, also known as players, who have downloaded our app,” said Mall. 

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.