Citrusx News
3 articles
growth-positive
"Especially in such challenging times, it is important to push high-tech forward and prove Moody's wrong" | CTech
Team8 organized a fintech startup competition in collaboration with Harels GUTS Innovation Hub, AWS, HSBC, and Deloitte, amid Israels credit rating downgrade. The event aimed to showcase Israeli fintech innovation and counteract the negative sentiment from the downgrade. Winning startups Paylow and CitrusX will participate in a follow-up event in New York, offering exposure to investors and venture capital funds. The event highlighted the potential of Israeli fintech companies to lead in global markets, despite current challenges. Team8 aims to deepen its involvement in fintech by building an ecosystem of global experts. The competition winners will join other Team8 fintech startups in New York, where they will compete for further recognition and opportunities.
Partners
Growth-Positive
“Too many young companies are looking to scale business before their product wins technologically” | CTech
In a dialogue as part of the Growth+ project of Calcalist and Poalim Tech, JFrogs CEO Shlomi Ben Haim and Citrusxs CEO Noa Srebrnik discuss the challenges of entrepreneurship and the resilience required to succeed in Israels high-tech industry. They share their experiences of overcoming crises, raising initial funding, and ensuring product maturity before scaling. The conversation is part of a series of 1:1 meetings between experienced entrepreneurs and early-stage start-ups, aimed at providing advice, support, and knowledge on entrepreneurship, creativity, managing start-ups, and building companies for growth.
CustomersPartners
growth-positive
CitrusX raises $4.5 million Seed for AI explainability collaboration platform | CTech
Israeli startup CitrusX has raised $4.5 million in seed funding for its AI validation and explainability platform. The funding round was led by Canadian VC Awz and included participation from several angel investors. CitrusXs platform provides model validation, governance, and monitoring to help stakeholders make better decisions about machine learning. The platform is designed to ensure machine learning models are robust, explainable, and fair, and it allows for verification and risk mitigation by data scientists and risk officers. The companys technology can identify errors and vulnerabilities in a machine learning model and highlight potential feature bias.
Investment
