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PERSONALIZED CANNABIS
SEARCHED
on 17 Jun 2024
Last Applicant/ Owned by
MJANE SYSTEMS INC.
125A-1030 Denman StreetVancouver
BRITISH COLUMBIA
CA
V6G2M6
Serial Number
2009814 filed on 04th Feb 2020
PERSONALIZED CANNABIS
Trademark usage description
service consists of a cloud hosted computer application that allows user to enter information about themselves including medical symptom information a Read MoreClassification Information
Class [042]
Computer and scientific
Comment text
CIPO Classification Code
Classification kind code
Nice
Class [044]
Service consists of a cloud hosted computer application that allows user to enter information about themselves including medical symptom information and the artificial intelligence (AI) system recommends different registered Personalized Cannabis products to achieve symptom alleviation. People experience cannabis differently depending on their DNA, age, sex, health, cognitive state and many other factors. One size does not fit all. Personalized Cannabis is all about using known traits of individual consumers (ie. genetic, somatic and cognitive details) and training AI with registered cannabis products (ie. chemical component ratios) to predict and recommend to consumers which registered Personalized Cannabis products will deliver the outcomes they want. MJane Systems Inc. is here to work with the Cannabis Industry to apply this Personalized Cannabis standardization technology, so that all consumers can choose their cannabis products with confidence. MJane Systems Inc. is pioneering the new field of computational cannabis by harnessing the power of data and artificial intelligence, to standardize and optimize consumer cannabis outcomes and deliver a personalized and consistent cannabis experience.
Classification kind code
11
Mark Details
Serial Number
2009814
Mark Type
Trademark
Legal History
| Action Taken | Status |
|---|---|
| Submitted for opposition 22 on 17th Jun 2024 | Search Recorded |
| Submitted for opposition 20 on 17th Jun 2024 | Examiner's First Report |
| Submitted for opposition 287 on 16th Jun 2022 | Pre-Assessment Letter Sent |
| Submitted for opposition 31 on 02th Mar 2020 | Formalized |
| Submitted for opposition 1 on 05th Feb 2020 | Created |
| Submitted for opposition 30 on 04th Feb 2020 | Filed |