Draft:LXT AI
Submission declined on 22 May 2025 by Encoded (talk).
Where to get help
How to improve a draft
You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Editor resources
|  |
| Submission declined on 10 May 2025 by Caleb Stanford (talk). This submission appears to read more like an advertisement than an entry in an encyclopedia. Encyclopedia articles need to be written from a neutral point of view, and should refer to a range of independent, reliable, published sources, not just to materials produced by the creator of the subject being discussed. This is important so that the article can meet Wikipedia's verifiability policy and the notability of the subject can be established. If you still feel that this subject is worthy of inclusion in Wikipedia, please rewrite your submission to comply with these policies. Declined by Caleb Stanford 11 days ago. | |
| Submission declined on 5 May 2025 by AllCatsAreGrey (talk). This submission appears to read more like an advertisement than an entry in an encyclopedia. Encyclopedia articles need to be written from a neutral point of view, and should refer to a range of independent, reliable, published sources, not just to materials produced by the creator of the subject being discussed. This is important so that the article can meet Wikipedia's verifiability policy and the notability of the subject can be established. If you still feel that this subject is worthy of inclusion in Wikipedia, please rewrite your submission to comply with these policies. Declined by AllCatsAreGrey 16 days ago. | |
Comment: The submission reads like an advertisement and does not have sufficient references to demonstrate notability.If you would like to improve the article, please note the following. This is not a complete list of changes, this is the minimum that should be addressed to claim notability.Please include citations to all content, including number of employees, number of languages etc. Please fix the reference format.Please remove content that is promotional or non-encyclopedic in nature (this is at least half the current article.) Do not reword, just remove. Promotional example:"LXT has published annual executive surveys on AI maturity among enterprises. Its 2023 and 2024 editions, titled "The Path to AI Maturity", provided insights into trends in AI investment, governance, and adoption across industries"Also promotional:"LXT provides data services used in the development and evaluation of artificial intelligence systems."Also promotional, as it serves only to claim why the company is not important, not to provide coverage of the company as covered in independent, neutral sources: "Supervised machine learning systems rely on large volumes of annotated data to learn patterns, make predictions, and generate outputs. The quality, diversity, and quantity of this training data significantly influence a model’s performance, generalizability, and fairness" and the following sentences.Also promotional: "workforce of over seven million contributors" What is a contributor and how does it differ from an employee? Caleb Stanford (talk) 20:00, 10 May 2025 (UTC)
- Comment: If you're hoping to rely on the items listed in 'References' to establish notability, it would be very much preferred that you cite them. DoubleGrazing (talk) 12:25, 8 May 2025 (UTC)
- Comment: Even if this was rewritten, it does not meet the notability criteria. As far as the Forbes sources, see WP:FORBESCON. They should not be used nor most of the other sources. S0091 (talk) 20:51, 5 May 2025 (UTC)
 | |
| Company type | Privately held company |
|---|---|
| Industry | Artificial intelligence, Data services |
| Founded | 2010 |
| Founders | Mohammad Omar (CEO) |
| Headquarters | Toronto, Canada |
Number of employees | 350+ (2025) |
| Subsidiaries | clickworker (since 2025) |
LXT is a Canadian artificial intelligence (AI) data services company that provides multilingual and multimodal data to support the training and evaluation of AI systems. Headquartered in Toronto, the company supplies data for applications such as natural language processing (NLP), computer vision, and generative AI.[1]
History
[edit]LXT was founded in 2010 and initially focused on language data for speech recognition technologies.[1] In December 2024, LXT acquired German crowdsourcing company clickworker, which operates a global crowdworker platform.[2]
Research
[edit]LXT conducted executive surveys on AI maturity among enterprises. Its 2023 and 2024 editions, titled "The Path to AI Maturity", provided insights into trends in AI investment, governance, and adoption across industries.[3]
Importance of AI Training Data
[edit]Supervised machine learning relies on large volumes of annotated data to learn patterns, make predictions, and generate outputs. The quality, diversity, and quantity of this training data affect model performance and fairness.
Training data spans domains such as language translation, image classification, speech recognition, and text generation. To reduce bias and increase applicability, datasets often represent diverse languages, dialects, visual environments, and social backgrounds.
Crowdsourcing is commonly used to collect and annotate training data at scale. This method leverages distributed contributors worldwide to perform tasks like data collection, labeling, transcription, and evaluation.[4]
Many data pipelines integrate crowdsourced annotation in a broader human-in-the-loop framework, using human input to guide, correct, or validate machine learning outputs. This approach is relevant for tasks involving ambiguity, subjective judgment, or ethical considerations.
See also
[edit]References
[edit]- ^ a b "LXT: Interview With Cofounder & Chief Solutions Officer Mohammad Omar". Pulse 2.0. April 2024. Retrieved May 15, 2025.
- ^ "LXT Acquires Clickworker in Data-for-AI Market Consolidation Move". Slator. December 17, 2024. Retrieved May 15, 2025.
- ^ "LXT Survey of Executives Reveals State of AI Maturity". TDWI. March 15, 2024. Retrieved May 15, 2025.
- ^ "Use of AI for Training Data in Global Organizations". Crowdsourcing Week. Retrieved May 5, 2025.
- in-depth (not just passing mentions about the subject)
- reliable
- secondary
- independent of the subject
Make sure you add references that meet these criteria before resubmitting. Learn about mistakes to avoid when addressing this issue. If no additional references exist, the subject is not suitable for Wikipedia.