t:start/lab
Acceleration Program for Startups of the Technion Faculty Members, in Collaboration with t3
Duration: 12 months
Open to: Technion Faculty and Lab Students
Funding: NIS 250K per project. 5 projects per year
Projects: TRL 3-4
In three words: from research to funded project
In short:
The new flagship program of the t:hub &t3 at the Technion is t:start. The purpose of this program is to promote and commercially mature scientific and technological research originating from the Technion's research laboratories and bring them to business realization. Funded by the ‘Ministry of Science Accelerators program and managed together with the Technion commercialization arm t3, the program will accompany and finance initial processes towards the establishment of a startup.
This unique program is designed to allow Technion Faculty Members to find the resources to establish a business venture based on the unique knowledge developed in their laboratory, with the assistance of entrepreneurship experts.
The program will last 12 months, during which the faculty member will be required to participate in five content meetups on entrepreneurship knowledge. The active entrepreneurial team will consist of students from the research laboratory and/or external entrepreneurs who will be matched to the researcher in the process. The project team will participate in a weekly meeting and receive guidance, support and tools for the actual establishment of the project.
Program Details
Duration: 12 months
Frequency: 3 hours per week, one hour of weekly personal meeting
Place: t:hub, Ullmann building, 4th floor
Included: Workshops, lectures, mentoring, financing, t3 business support.
Funding and Costs: The program is funded by the Ministry of Science and Technion
Additional Notes: The admission process is carried out through the Office of the vice president for research at the Technion.
Signing Up Who? How? Where?
Eligibility to apply:
Researchers from the Technion.
Admission:
Submission of a response form to a call from the vice president for research - Here
Registration Process:
Awaiting the publication of a call for proposals from the vice president for research - Here
Submission Deadline:
TBD
For More Details:
reuvenk@me.technion.ac.il
The Team
Prof. Ezri Tarazi
Prof. Reuven Katz
Cohort 1
2022
Assoc. Prof. Emanuel Cohen
Beam-steering
Antenna array
Prof. Esti Segal
Antiseptic Wax: Bioinspired, sustainable non-toxic coating for passive prevention of microbial biofilms
Assoc. Prof. Yoash Levron
Low-radiation, smaller,
affordable converter
Prof. Boaz Pokoroy
Dr. Charlotte Vogt
Water demineralization,
bio-contaminant removal,
and carbon capture
Assoc. Prof. Shay Berlin
Targeted fluorescent and MRI-compatible probes for noninvasive multimodal imaging of diseases
Cohort 2
2023
Prof. Yair Ein-Eli
Flexible ultra-lightweight
conductors
Assoc. Prof. Peleg
Hasson
Inhibiting enzyme-mediated fibronectin fibrillogenesis as a novel strategy for blocking Idiopathic pulmonary fibrosis
Assoc. Prof. Yoash Levron
Printed personalized bra
Assoc. Prof. Hagay
Wolfenson
Assoc. Prof. Shenhav
Shemer
Formulation development for the prevention of muscle wasting
Emeritus Prof. Miram
Zacksenhouse
Brain computer interfaces for controlling external devices
Cohort 3
2024
Dr. Dana Solav
A Novel walking aid for ankle/foot rehabilitation
Assoc. Prof. Galia
Maayan
AI-designed peptoids as penetration enhancers for solid tumors
Assoc. Prof. Charles
Diesendruck
Practical anion-exchange membranes using stable isoindolinium salts
Prof. Benjamin
Podilewicz
Development of hSPICER, a novel male infertility diagnostic tool
Assoc. Prof. Yosef
Shamay
Prof. Dario Dekel
Assoc. Prof. Omer
Yehezkeli
Continuous glucose and lactate monitoring
Cohort 4
2025
Assoc. Prof. Roee Amit
Synthetic biology-based platform for developing room-temperature stable antiviral nanoparticles
Prof. Ron Kimmel
Histology AI image analysis for breast cancer treatment
Prof. Moris Eisen
PFAS-free highly functional fluoropolymers
Prof .Eitan Yaakobi
Practical and commercial DNA-data storage with nanopore sequencing and emerging synthesis methods
Assoc. Prof. Yoav
Shechtman
Biomarkerflow: AI-based simple and fast protein biomarker detection and monitoring
Prof. Simone Englender
Optimized decoy peptide therapy for Parkinson's and dementia with Lewy bodies
