Science & Technology
The Scientific Process
Assense™ is science to the core. Our experienced R&D team comprises multidisciplinary experts in the fields of Neuroscience, Occupational Psychology, Machine Learning and Data science. In harness with top scientists and research institutes, we design and develop our assessment tools based on proven methodology.
Our Academic Partners
We believe that reliable assessment must lay its foundations in academic research. Our multidisciplinary R&D team works in close cooperation with hand-picked scientists and academic researchers, conducting joint studies and applying validated, long-standing academic knowledge to produce the most effective and accurate assessment tool on the market.
Tel-Aviv Center for Brain Functions
Sourasky Medical Center (Ichilov)
Dr. Gal Raz
Prof. Talma Hendler
Prof. Meni Koslowsky
Our Technological Breakthrough
Assense is the embodiment of three cutting-edge technologies which complement one another to deliver a novel and immersive assessment experience beyond compare.
The realistic virtual world that we create delivers complete control over the candidate's sensory inputs at any stage of the interview process. Leading-edge mixed-reality enables us to simulate real-life situations in immersive new ways when the candidate is relaxed and free of inhibitions. Now you can stage a colleague to interrupt the candidate in the middle of work or test his ability to work under pressure in a noisy open space environment, while monitoring his behavior and responses to the minute level throughout the entire session.
Conventional assessment tools lack the ability to gauge spatial data, which research proves is essential for accurate behavioral and cognitive assessment. Assense monitors and records thousands of fingerprints in every simulation and translates them into traditional data structures. Together with external data sources and input provided by the employer, Assense uniquely delivers a complete picture in every candidate profile.
Deep learning models are applied to the aggregated data, translating raw data into valuable, actionable insights and decision-support tools that are critical for recruiters. The multiple metrics are classified according to personality, cognitive, and other attributes relevant to the specific position, in accordance to recruiter requirements and compared to top team performers.