15.06.22|CTechThe firm is one of the top Israeli law firms participating in CTech’s Most Important Gateways to Israeli Tech series
15.06.22|CTechThe law firm joined CTech as part of its Gateways to Israeli Tech series to share consideration in the legal space
15.06.22|CTechThe Israel-based law firm has been behind some of the biggest tech deals in recent years
15.06.22|CTechThe firm has been behind some of the most notable deals coming from Israel’s tech ecosystem
15.06.22|CTechThe Israeli law firm has highlighted the trends it views as significant - and volatile - in the tech space
15.06.22|CTechThe law firm outlines some ways Israel can combat the rise in empty seats found in tech companies
15.06.22|CTechEran Yaniv and Raz Tepper joined CTech as part of its Most Important Gateways to Israeli Tech series.
15.06.22|Elihay VidalA spotlight on the high-tech departments in the leading law firms in Israel: The big deals, the important clients, and also analysis, trends, tips and advice shared by Israel’s leading high-tech lawyers
07.01.21|CTechWith over 3.5 billion downloads and over 110 million unique monthly users, CrazyLabs is a leading player in the hyper-casual space
07.01.21|CTechThe Remagine fund invests in early-stage startups in entertainment tech, including AI, gaming, sports and esports
06.01.21|CTechToday, Ben-Dov is the Vice President of Performance Marketing Partnerships at StreamElements - but how did he get there?
06.01.21|Elihay VidalUri Eliabayev may have a non-typical background but he is one of the most promising figures in the field of artificial intelligence and machine learning
06.01.21|CTechAs Managing Director of Qualcomm Ventures, Merav Weinryb is advancing Israel’s tech sector with a focus on helping promote women
06.01.21|CTechAs a pioneer in the fields of AI, IoT, and smart city solutions, he founded AGT International in 2007 and is one of CTech’s gateways into Israeli tech
06.01.21|CTechThe professor joined NVIDIA two years ago to lead research focused on AI algorithms and architectures for sample-efficient deep learning