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UNICRAFT
Unicraft: Remote Learning System for Strategic Business Goals
🏢 SME
Last updated: 29 Oct 2024 |
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Unicraft is a remote learning system that enables companies to structure knowledge, determine current employee skills, track changes, and create personalized training plans based on strategic business goals.
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Year founded 2016 (8 years) |
Funding status Private |
Company type SME |
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People
UNICRAFT has a total of 1 people across Philippines and 1 other countries.
People Location
- 1· Philippines
Job function
- 1Hidden function
Seniority
- 1Hidden seniority
- 1Hidden seniority
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* This profile contains information from ACRA Information on Corporate Entities from Accounting and Corporate Regulatory Authority which is made available under the terms of the Singapore Open Data Licence version 1.0. Information and datasets on our website are provided on an “as is” and “as available” basis. This website makes no representations or warranties concerning the datasets, including but not limited to any representation or warranty as to the accuracy, completeness, reliability, continued availability, timeliness, non-infringement, title, quality, or fitness for any particular purpose of the datasets to the fullest extent permitted by the law.
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* This profile contains information from ACRA Information on Corporate Entities from Accounting and Corporate Regulatory Authority which is made available under the terms of the Singapore Open Data Licence version 1.0.
Information and datasets on our website are provided on an “as is” and “as available” basis. This website makes no representations or warranties concerning the datasets, including but not limited to any representation or warranty as to the accuracy, completeness, reliability, continued availability, timeliness, non-infringement, title, quality, or fitness for any particular purpose of the datasets to the fullest extent permitted by the law.
Information and datasets on our website are provided on an “as is” and “as available” basis. This website makes no representations or warranties concerning the datasets, including but not limited to any representation or warranty as to the accuracy, completeness, reliability, continued availability, timeliness, non-infringement, title, quality, or fitness for any particular purpose of the datasets to the fullest extent permitted by the law.