Courtesy of Imagen
The rubber snakes on the active bar are over, the DJ has already played “Yhad Lev El Lev” (or Don’t Stop Me Now) and grandma stole the decorative wreath from the table on the way out – this is a sign that your wedding is over. But some guys who finished it still have a lot of work ahead of them, and they are the photographers of the event. They now need to find and edit thousands of photos of drunk people, atmospheric photos of the buffet (why does it still exist?) and far too many photos of you hugging in the fields near the hall. But this Israeli company has a development that will take care of it.
to improve the lives of photographers
The Israeli Imagen has developed a system that should significantly improve the lives of photographers, and has developed a SaaS product that allows photographers to automatically edit thousands of photos within a timeN Short, with a high level of accuracy and opN Adapted to the personal style of each photographer. For all their hours of shooting in the field, photographers have to work many hours at home on color corrections, lighting corrections, cropping, adding various effects and more. Imagen’s development includes an algorithm that learns the editing styles of photographers and can apply them in advance to thousands of images, which significantly reduces their work time.
In each round the algorithm learns the corrections made by the photographer and thus improves and becomes even more accurate the next time. BImg‘N says that the product they developed saves On average 85% of the timeN The editing needed by photographers, which can reach the 12-hour mark after each photo session. The system allows photographers to upload up to 3,000 past photos edited by the photographer to train its algorithm so that it learns his editing style and applies it to future photos uploaded to the system. The company says that the algorithms they developed are not based solely on this information, and learn all the time, to identify if the photographer has slightly changed the way he edits photos, and will adapt themselves to these changes. In addition, the system also identifies the images filtered by the photographers to identify which images should be filtered in each session.
Gigi Levi is also inside
Image was founded in 2020 by Yotam Gil (CEO), Yoav Hai (CTO) and Ron Oren (COO). Today (Monday) the company reports on a fundraising round A of 30 million dollars. The round was led by the American fund Summit Partners, which previously invested in quite a few companies – including Uber, McAfee and Avast. Gigi Levy-Weiss’s NFX fund also participated in the round, which also invested in the startup when it raised $4 million last year. Currently, Image employs 50 people and the company is already profitable according to her. As of today, it edits about 150 million photos a year and, according to it, saves and saves millions of hours of manual work every month for photographers.