Visual AI Training Company Chooch AI Raises $2.8M
Chooch AI targets enterprise market with visual recognition training platform
– Chooch.AI, an artificial intelligence training platform for visual recognition, has raised a $2.8 million seed round led by venture capital firm Vickers Venture Partners. The round also includes funding from angel investors. The funds will be used to expand market reach and grow the team, including hiring additional engineers.
“Chooch’s novel technology, with its focus on AI training and flexible integrations, means that it is uniquely positioned to be an end-to-end, deep learning visual AI solution, and an alternative visual solution to Google Vision or Amazon Rekognition. We look forward to working closely with the Chooch team as they expand across regions,” commented Vickers Venture Partners Chairman Dr. Finian Tan.
Chooch has been easily deployed by customers for a wide range of applications on many platforms. Chooch is rapidly trained to be a visual expert in any field, from aircraft engine parts, to types of human faces, to counting cancer cells. When Chooch is presented with images or videos that contain perceptions learned by its neural networks, Chooch returns metadata such as a person’s identity or a model of a helicopter. Chooch can be trained to accurately identify features in any media, such as web-based video or images on mobile phones, live drone feeds and medical imagery.
“We’ve made machine learning for computer vision super easy to use and implement at scale,” explains Emrah Gultekin, CEO of Chooch AI. “This provides massive competitive advantages to companies who integrate Visual AI into their processes.”
The ROI is immediate because of the increased speed of tagging images for media, e-commerce and security companies, e.g., Chooch can do facial recognition training in real time, increase revenue by 5x for video advertising and reduce costs by 80x for tagging of visual data like photojournalism.
“That’s a game changer for our business,” says Jonathan Wells, CEO of the photo agency SIPA USA. “We can be processing 1000’s of photos per day and dozens of shoots from LA to Milan.” The photo agency SIPA USA uses Chooch to tag photos in real time from the Oscars red carpet, sporting events and fashion runways worldwide, an illustrative case study of the value of Chooch.
Chooch.AI provides Visual AI for media, e-commerce, security, and medical industries, among others. Chooch performs object recognition and facial recognition by matching data in its neural network perception library which acquired with machine learning. Its API is compatible with photo or video content from any source, live streams, apps, web, robots, or drones. Chooch provides a full suite of computer vision services, from data to predictions.
For more information or a technology demonstration, please visitwww.chooch.ai or contact email@example.com
About Vickers Venture Partners:
Vickers Venture Partners is a venture capital firm focused on early-stage investments in Asia and beyond. The firm’s portfolio covers life sciences, technology, media, and telecommunications as well as consumer and financial services. Some of its partners have track records that include hits such as Baidu.com, Inc, Focus Media Holding Ltd, Kongzhong Corp, Cambridge Real Estate Investment Trust, Sunfun Info Co. Asian Food Channel (trade sale), UUCUN (trade sale), TWG Tea (trade sale), RTG Asia (trade sale), JJE (trade sale), Hillstone (trade sale), M-Daq (trade sale), Tenfen (trade sale), Kuyun (trade sale) and Mainspring (trade sale). The total market value of the companies that the partners have helped grow exceeds US$90 billion today. Vickers Venture Partners announced in October 2017 that they have raised US $230 million to invest in startups across the world, with a particular focus on Deep Tech across the globe and impact investments in emerging markets.
Vickers Venture Partners was founded by Finian Tan, Khalil Binebine, Jeffrey Chi, Damian Tan, and Linda Li in 2005. It is based in Singapore with offices in Kuala Lumpur, Shanghai, Hong Kong, New York, San Diego and San Francisco.