The company’s funding round was led by Vickers Venture Partners

Chooch.AI, training platform that uses artificial intelligence (AI) for visual recognition, announced that it has raised a US$2.8 million seed round led by Singapore-based venture capital firm focussed on early-stage investments in Asia and beyond Vickers Venture Partners. The round also includes funding from angel investors.

The company said that it plans to use the fund for market reach expansion and hiring additional engineers to grow the team.

Chooch targets enterprise market with its technology for a visual recognition training platform.

“Chooch’s technology, with its focus on AI training and flexible integrations, means that it can be positioned to be an end-to-end, deep learning visual AI solution, and an alternative visual solution to Google Vision or Amazon Rekognition,” said Vickers Venture Partners Chairman Dr. Finian Tan.

Chooch claimed that it can be a visual expert in any field, from aircraft engine parts to types of human faces, to counting cancer cells as well as in media, e-commerce, security, and medical industries.

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When a user presents Chooch with images or videos that contain perceptions learned by its neural networks, Chooch works by returning the metadata such as a person’s identity or model of a helicopter through object recognition and facial recognition.

By matching data in its neural network perception library acquired with machine learning, Chooch can be trained to identify features in any media, such as web-based video or images on mobile phones, live drone feeds, and medical imagery. Its API is compatible with a photo or video content from any source such as live streams, apps, web, robots, or drones.

Chooch said that it provides a full suite of computer vision services, from data to predictions. The ROI is immediate because of the increased speed of tagging images for media, e-commerce, and security companies

“We seek to make machine learning for computer vision easy to use and implement at scale to provide competitive advantages to companies who need to implement Visual AI into their processes,” said Emrah Gultekin, CEO of Chooch AI.

Some examples of what Chooch can do include facial recognition training in real time that its clients claimed as helping them to “increase revenue by five times for video advertising and reduce costs by 80 times for tagging of visual data like photojournalism”.
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