Draft:Datumo
| Submission declined on 12 September 2025 by Pythoncoder (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. 
 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 7 April 2025 by CherryPie94 (talk). This draft's references do not show that the subject qualifies for a Wikipedia article. In summary, the draft needs multiple published sources that are:  Declined by CherryPie94 6 months ago. 
 |  | 
Datumo is a technology company headquartered in the United States, specializing in AI data solutions and machine learning services. The company provides services such as data collection, data annotation, and evaluation solutions for artificial intelligence models.
History Datumo was originally founded as part of SelectStar, a South Korean company established in 2018, which specializes in AI training data. To expand its global presence, the U.S. entity "Datumo" was launched. The American corporation focuses on delivering data services for international markets and has participated in major global tech exhibitions.
Services Datumo offers a range of services that support the development and evaluation of artificial intelligence systems, including:
- Data Collection: Gathering diverse datasets across multiple modalities (text, image, audio, and video).
- Data Annotation: Providing labeling services with high accuracy for supervised machine learning.
- Model Evaluation: Offering evaluation solutions to assess the quality, reliability, and safety of AI models.
- Crowdsourcing Platform: Operating a crowdsourcing system that recruits a large pool of contributors to collect and label diverse data efficiently.
- AI Model Fine-tuning: Supporting the fine-tuning of AI models through customized data preparation and model evaluation services.
Datumo Eval In February 2025, Datumo launched Datumo Eval, an automated reliability evaluation platform for generative AI services, initially released in South Korea. Datumo Eval is a SaaS-based solution designed to assess the trustworthiness, factual accuracy, and consistency of large language models (LLMs). It provides large-scale evaluation standards and question sets to help companies evaluate the performance and reliability of LLM-based applications, products, and services before launch. By automating the reliability verification process, Datumo Eval enables early identification and mitigation of potential risks and errors that may occur during AI service operations. The platform also supports red teaming capabilities, helping organizations simulate adversarial attacks and uncover vulnerabilities in AI models. According to a report by The Chosun Ilbo, Datumo (operating as SelectStar in South Korea) developed Datumo Eval to assist companies in identifying and mitigating risks such as misinformation, hallucination, and bias in generative AI systems prior to product deployment.
Activities Datumo has participated in several international events to showcase its technologies, including:
- MWC Barcelona: Listed as an exhibitor at the 2024 MWC Barcelona event, presenting its AI data solutions to a global audience.[1]
- KOCCA Directory: Featured in the Korea Creative Content Agency (KOCCA) overseas directory for content-related technology companies.[2]
Website
References 1. KOCCA Welcon Company Directory: Datumo Profile 2. MWC Barcelona 2024 Exhibitors: Datumo Profile 3. The Chosun Ilbo: South Korea’s SelectStar launches AI reliability evaluation platform
 
	
- Promotional tone, editorializing and other words to watch
- Vague, generic, and speculative statements extrapolated from similar subjects
- Essay-like writing
- Hallucinations (plausible-sounding, but false information) and non-existent references
- Close paraphrasing
 
Please address these issues. The best way is usually to read reliable sources and summarize them, instead of using a large language model. See our help page on large language models.