Arion leverages its expertise in selecting and significantly enhancing the success rate of obtaining non-dilutive grant funding for its clients using unique analytical analysis and Generative AI tools.
Arion has a unique approach using unique analytical analysis and Generative AI tools to unite innovative companies and research institutes with non-dilutive project Grants from Governments and NGO’s (non-profit non-governmental entities), leveraging non-dilutive funding sources for growth at critical stages of the business development cycle.
Arion has developed a sophisticated process using unique analytical analysis and Generative AI tools to maximize funding potential, helping companies raise more capital using non-dilutive funding sources
Serial entrepreneur with a demonstrated history of successfully launching innovative Fintech and web products.Lecturer, mentor and Experienced CEO and CTO with substantial experience in developing technological solutions, with in-depth knowledge of the core processes of establishing an organization, attracting investors, regulation and more.Ronen holds a Bachelor of Science degree, BSc & MA, with a focus in Mathematics and Computer Science, from Tel Aviv University.Currently pursuing a PhD in mathematical economics with an emphasis on game theory.
Roland is an innovation consultant and experienced evaluator of various EU bottom-up technology funding open calls, mainly within Horizon Europe, particularly the EIC Green Deal, EIC Accelerator OPEN + Challenges, Strategic Health Technologies proposals, as well as WomenTech EU, LIFE, Intell-IoT, and EUREKA-EUROSTARS proposals. Evaluated the Innovation, Impact, and Implementation proposal of 85+ deeptech startups within the prior H2020 SME Instrument and the present Horizon Europe EIC Accelerator funding program. Allocated a total of 100+ Million EUR among applicants as a member of 4-people expert teams. Moreover, Roland helped design a scoring system for the technical due diligence process of the EIB concerning winning Horizon Europe proposals.
A senior manager (CEO) with vast experience in private and public biotech industry companies. She has in-depth and unique knowledge in personalized medicine, solid tumors and hematological malignancies diagnostics & therapeutics, drug monitoring, Radio-pharmaceuticals, molecular diagnostics technologies and genetic diseases. Ms. Cohen serves as a business mentor of Israeli and USA biotech entities as well as business mentor to Tel Aviv and Bar Ilan Universities. She has extensive expertise in capital raising, including from various Israeli and EU governmental funding
sources ($10M)
A senior business executive with over two decades of extensive international experience in Professional Business Development, M&A, Marketing, and Sales Management as well as in System Engineering and HW/SW Development in the fields of Information Technology, Communications, Security & Electronics. He held positions in leading high-tech companies and currently serves as a special advisor for new ventures and for global mature corporates. Well-experienced in Global markets: West Europe, CEE, North America, APAC & India.
A broad spectrum of technology proficiency – Digital Health, Telecom, DataCom, Carrier Networks, Cloud-based Service Platforms, SaaS, Enterprise IT, Security, Residential & Business services, Customer Social Interactions and Contact Center platforms, Homeland Security, SmartCity, HW&SW, CTI, Physical Security, Home Automation, IoT and Consumer Electronic devices.
Inbar is an accomplished project manager and system engineer with a B.Sc in Biomedical Engineering. She has successfully led large-scale multi-discipline projects in the biotech industry, facilitating collaboration between academic researchers, the tech industry, and IAI, to develop advanced bio-chip sensors for medical applications. Her technical expertise includes managing R&D multidisciplinary teams of hardware, software, mechanics, algorithm engineers, and Clinical Trials. Inbar brings additional expertise in the development of signal processing and ML algorithms, data analysis, and QA software
