human
SOLUTIONS
algorithms for olfaction and
taste molecular discovery
the sensorygen method
TRADITIONAL
METHODS
Laborious & expensive; limited by chemistry and not modern biology; very limited to synthesized chemicals & sensorial testing; an inefficient trial & error process.
SENSORYGEN’S
METHOD
Powered by Artificial Intelligence, digitized, highly efficient, and cost-effective.
Our Solutions
Services and Software to Drive Ingredient Discovery



PerceptCode
Supply chemical structure(s), compute features, and get 100s of attributes or descriptors from our AI engine to help simulate olfactory experience in humans.
ORCode
Supply chemical structure(s). Internally, input is converted into human odorant receptor activities, returning a ranking of chemicals as candidate ligands for >30 ORs as well as 100s physical and sensory/perceptual attributes.
PerceptORCode
Supply chemical structure(s). Internally, the input is converted into a combinatorial set (OR and chemical structure features). AI engine returns a ranking of chemicals as candidate ligands for >30 ORs as well as 100s physical and sensory/perceptual attributes.
TasteCode
TasteReceptorCode
Supply chemical structure(s). Internally, the structure is converted into human bitter receptor activities, returning a ranking of chemicals as candidate ligands for Tas2Rs as well as predicted perceptual response.
Auto SensoryAI
Supply chemical structure(s) and activity. Different models are trained and evaluated, automatically selecting the best for the task. The platform includes customization to accommodate users at different skill levels.




Backed by Science
Research
Validation





