Slyce

MaRS Innovation’s top 10 portfolio stories for 2014

December 15, 2014
Susanne Staer
Acquisitions

MaRS Innovation enjoyed an exceptional year in 2014. Our team continues to collaborate with researchers within our membership to help bridge the commercialization gap between their world-leading research and creating successful start-up companies or licenses.

Here are our picks for the top 10 news stories from MaRS Innovation’s portfolio.

1. Triphase Accelerator Corporation, in which MaRS Innovation is an investor, started the year with a bang by signing a collaboration and option agreement with Celgene Corporation. In October, Triphase initiated a Phase I clinical study to evaluate marizomib in Glioblastoma (GBM) with Celgene, signed an agreement to provide Celgene with an option to acquire a new bi-specific antibody (licensed by Triphase from PharmAbcine) and closed the year by announcing that Triphase’s proteasome inhibitor, marizomib, demonstrates potent synergistic anti-multiple myeloma activity in combination with pomalidomide.

2. Flybits Inc., spun out of Ryerson University, announced a $3.75 million Series A financing with Robert Bosch Venture Capital to advance its context-aware mobile experience platform. The company was also named a Red Herring Top 100 North America winner.

3. XLV Diagnostics Inc., spun out from Sunnybrook Health Sciences Centre and the Thunder Bay Regional Research Institute, secured a $3 million Series A investment round with Boston-based Bernard M. Gordon Unitrust. XLV’s product will provide mammography image quality equivalent to top-of-the-line mammography machines currently in use, and will do so at a fraction of the cost of current generation systems. The funding will support continued product development and regulatory approval.

Slyce acquires YorkU computer vision technology for retail e-commerce

February 4, 2014
Susanne Staer
Acquisitions

Deal led by MaRS Innovation and Innovation York to strengthen Slyce’s mobile image recognition application for retail e-commerce

York's technology will help Slyce in developing a mobile app that can be used to take pictures of a product in-store, enabling a user to purchase the item from the retailer immediately on his or her smartphone. — York’s technology will help Slyce in developing a mobile app that can be used to take pictures of a product in-store, enabling a user to purchase the item from the retailer immediately on his or her smartphone.

TORONTO, Feb. 4, 2014—Slyce today announced that it has acquired a computer vision technology developed at York University that quickly analyzes and aggregates similar images.

Through the acquisition, Slyce also hired former York PhD student, Dr. Ehsan Fazl-Ersi, to lead the integration of the intellectual property into Slyce’s Visual Search Platform as their new head of Research & Development.

Slyce is a premium provider of visual search technology for retailers, brands and publishers. Their platform allows customers to take a picture of real-world products with their smartphone and then find direct or close-matching products from the retailer’s catalogue, which they are able to purchase on the spot.

Slyce’s acquisition of York’s technology was covered in the Financial Post, Dx3 Digest, BetaKit, Mobile Payments Today, Global University Venturing, World News, Consumer Electronics Net and Retail Customer Experience. You can also read the York University announcement.

“Identifying and classifying an object captured within a scene is difficult due to the effects of background clutter, lighting variations and viewpoint changes on the object’s appearance,” says Fazl-Ersi, who designed and developed the technology with his PhD supervisor, Dr. John K. Tsotsos, a professor in the Lassonde School of Engineering’s Department of Electrical Engineering and Computer Science, and a member and former director of York’s Centre for Vision Research.

“This is a much bigger problem for mobile applications where the algorithm’s speed and efficiency are the difference between losing a consumer or making a sale,” says Fazl-Ersi. “Our technology will provide higher accuracy when quickly identifying retail items so that consumers can choose among similar items according to style, colour or pattern using a mobile device.”

The researchers partnered with MaRS Innovation and Innovation York, York’s commercialization office, to file patent protection on the initial technology, develop a commercialization plan, secure grant funding, facilitate business development meetings and negotiate the resulting transaction.

MaRS Innovation’s top 10 portfolio stories for 2014

Slyce acquires YorkU computer vision technology for retail e-commerce

Deal led by MaRS Innovation and Innovation York to strengthen Slyce’s mobile image recognition application for retail e-commerce

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