APUS Group Acquires SIFTR Labs

Chinese mobile internet company APUS Group has successfully acquired Noida-based AI driven photography curation startup SIFTR Labs for an undisclosed amount, as media reported. The acquisition round witnessed the exit of SIFTR Labs existing investor Venture Catalysts.

Speaking about the acquisition,  Apoorv Ranjan Sharma, co-founder, Venture Catalysts said, “The acquisition will help SIFTR to grow vertically by tapping the extensive global experience of APUS Group. This deal has also hinted towards continued interest of global players in building their arsenal of machine learning technologies, and has marked the beginning of sustained Chinese tech acquisitions on Indian soil.”

Romil Mittal, co-founder and CEO, Siftr Labs, said, “Our team has always been passionate about building innovative tech products with the potential to impact and enhance people’s lives. Our global elevation has given us an opportunity to keep doing the same on a much larger scale and at a faster pace.”


Romil Mittal and Mayank Bhagya founded the startup back in 2015 to assist creative personalities including photographers, designers and artists with digital content photography platforms by employing machine learning. With a proprietary computer vision engine that can perform multiple tasks including object identification, facial recognition, age and gender detection, as well as

With a proprietary computer vision engine that can perform multiple tasks including object identification, facial recognition, age and gender detection, as well as perceiving photo genres, SIFTR Labs earlier raised $150K in seed funding from Venture Catalysts and winessed participation from angel investors including Vishal Maheshwari, Vikas Kapoor, Daud Ali, and Nitin Agarwal.

SIFTR launched Magic Cleaner App which cleans junk images from leading messenger apps like Whatsapp, Hike, Line, Snapchat, Telegram etc. on smartphones. Launched in May 2016, the app analyzed a repository of more than 3 crore images on its server allowing the app to find the junk photos on a user’s phone in an effective and efficient manner.