Our Team

Business strategy expert with a demonstrated 15 years history of working with various industries and government entities. Skilled in business strategy planning and implementations on a corporate level and business unit level. Advising to start- up companies in shaping their business plans and supporting their capital raising rounds. Works with privately-held and publicly-traded small and middle-market companies to raise capital and advise on corporate finance transactions (Initial Public Offerings, Follow-On Offerings, PIPE’s/Private Placements and other Cross Border Transactions). Holds a Bachelor of Arts (B.A.) in Economics from the Technion - Israel Institute of Technology and a MBA from Reichman University.

Professor Nir Sharon is an Associate Professor in the Applied Mathematics Department at Tel Aviv University. His research focuses on approximation on manifolds, geometric modeling, applied harmonic analysis, machine learning, and the mathematics of electron microscopy. In addition to his academic contributions, he plays an active role in advancing international research collaborations. Prior to joining Tel Aviv University Prof. Sharon was a researcher at the Program of Applied and Computational Mathematics at Princeton University.

A quantum-optics researcher at Ariel University specializing in light–matter interactions in hot rubidium vapor and ultra-thin micro/nano cells. My group generates bright two-mode squeezed light via double-Λ four-wave mixing (demonstrated 8 dB; pushing toward 10 dB) and exploits slow-light/EIT to build quantum-enhanced gyroscopes and other sensors. My work spans custom vapor-cell design and low-loss filtering to system-level prototypes, with a strong translational focus. Training: PhD (Hebrew University, Uriel Levy) and research with Paul D. Lett (UMD/NIST).

Brings deep expertise in functional genomics and translational biology, leveraging machine learning and bioinformatics tools to map gene-function relationships and move discoveries toward impact. As a Research Leader at Evogene, he enabled discovery workflows and contributed to IP around trait/target discovery; He also has extensive drug-delivery systems development experience and leads end-to-end R&D from concept to product. Serve as the CEO of CliniQuantum, developing Quantum-powered AI platform to transform the way clinical trials are designed, optimized, and executed.

Expertise in erasure detected two-qubit Gates for Quantum Error Correction (QEC) codes with bosonic qubits. Worked on a long-lived photonic qubit in a superconducting cavity (cQED architecture) for implementation of quantum error-correction codes. A Technion and Weizmann Institute of Science gradute. Former Israeli Navy Seal soldier (Shayetet).

Al Manager and Researcher specializing in NLP and Generative Al. Leading end-to-end R&D of Al products that reach real users. In recent years, led and scaled research teams, defined algorithmic roadmaps, recruited top talent, and advised startups burning strong Al ideas into production-ready solutions. Strong foundation in deep learning and modern attention, based architectures, with hands on experience in building scalable LLM/NLP systems on Linux using Python. Holds a B.Sc. in Nuclear Engineering from Ben-Gurion University

16-year VP-level R&D/Product leader who turns frontier science into regulated, revenue-generating software. Over the past 8 years, led a medical-software platform from concept to three FDA-cleared devices and multi-million-dollar ARR, forging OEM and health-system partnerships and leading cross-functional teams (algorithms, embedded, regulation). Hands-on in designing, coding, and deploying big-data and deep-learning algorithms with a strong foundation in mathematical physics (BSc, Electrical & Computer Engineering from Ben-Gurion University). Previous roles at Intel and Applied Materials brought practical experience across multiple industries.

Libat builds scalable startup operations for deep-tech and R&D-driven environments. She connects organizational strategy to measurable execution through KPI frameworks, dashboards, and market/competitor insights leveraging AI and ops automation tools to accelerate workflows, improve reporting quality, and increase management visibility, Connecting operational workflows to financial outcomes through disciplined budget planning and impact-driven prioritization.

bringing a highly analytical approach (Physics & Mathematics, Tel Aviv University) with hands on Python and automation skills. In quantum and deep-tech contexts, he contributes to building the classical software layer that enables experimentation structured workflows, data pipelines, simulation/analysis utilities, and automation that accelerates iteration and improves reliability.

Quantum Computation Scientist Masters student in computer science on Reichman University, specialization in quantum computing with a focus on error correction codes. Background in project managing in the military

Quantum information researcher and PhD student at Bar-Ilan University. Research focuses on quantum sensing, quantum optics, and quantum information, with an emphasis on practical methods for calibration, control, and estimation in quantum systems. Combines a strong theoretical foundation with a multidisciplinary approach spanning physics, machine learning, and software development, contributing to the advancement of reliable and scalable quantum technologies.

Electrical Engineering Ph.D. candidate at Ariel University, specializing in quantum physics and cold neutral atoms. Combining deep academic research with hands-on industry experience as a former RF Engineer at a major enterprise.  A foundational contributor to the establishment of the university's Cold Atom Laboratory.

Golan Ben Ari is a PhD researcher in Electrical Engineering at Ariel University,

specializing in autonomous quantum experimental systems, Ultra High Vacuum (UHV) engineering, and cold atom physics.

He is an experienced software and R&D engineer with over 25 years of expertise in AI driven automation,

embedded systems, and multidisciplinary system integration.

His work focuses on UHV infrastructure, laser cooling systems, Zeeman slower design, and AI optimization for quantum experiments.

Golan is also recognized for his practical expertise in advanced vacuum technologies and scientific instrumentation for research laboratories.