Draft:DataRoot Labs
| Submission declined on 17 June 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.
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| Submission declined on 17 June 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. Declined by Pythoncoder 14 days ago. | |
| Submission declined on 17 June 2025 by DoubleGrazing (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. 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 DoubleGrazing 15 days ago.
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Comment: Resubmitted without meaningful improvement. —pythoncoder (talk | contribs) 18:32, 17 June 2025 (UTC)
Incorrect template usage. Please use {{connected contributor (paid)}} instead.
| Company type | Private |
|---|---|
| Industry | Artificial Intelligence, Machine Learning, Data Science, Computer Vision, EDGE AI, IoT |
| Founded | 2016 |
| Founders | Max Frolov, Ivan Didur, Yuliya Sychikova, Vasyl Koida |
| Headquarters | Wilmington (DE, USA) / Kyiv (Ukraine) |
Key people | Max Frolov (CEO), Ivan Didur (CTO), Yuliya Sychikova (COO), Vasyl Koida (Head of Data Engineering) |
Number of employees | 1-50 |
| Website | datarootlabs.com |
DataRoot Labs is a technology company that develops and implements artificial intelligence (AI), machine learning (ML), and data engineering systems for clients across multiple industries. Founded in 2016, the company specializes in AI consulting and custom AI/ML development, with expertise in generative AI, natural language processing (NLP), computer vision, reinforcement learning, and edge ML.
Headquartered in Kyiv, Ukraine, DataRoot Labs serves a global client base and is known for leveraging Ukrainian engineering talent. It also operates an educational initiative focused on AI and data science training.
History
DataRoot Labs was founded in 2016 by Max Frolov, Ivan Didur, Vasyl Koida, and Yuliya Sychikova. Since its inception, the company has focused exclusively on AI development and research.
In 2017, it launched DataRoot University (DRU), a free online education platform offering machine learning and data engineering courses. As of 2025, more than 6,000 students have participated.[1]
Services and Partnerships
DataRoot Labs is an artificial intelligence (AI) consulting and development company. Its services include natural language processing (NLP), computer vision, machine learning (ML), data engineering, MLOps, AI product development, and AI-powered hardware solutions. The company provides end-to-end support for AI system design, development, training, deployment, and optimization.
Its NLP capabilities include the development of custom pipelines, multimodal large language model (LLM) training and fine-tuning, knowledge-based LLMs, and autonomous LLM agents. In computer vision, the company develops object detection, tracking, segmentation, and simulation systems. Its data engineering services focus on pipeline development, cloud data platforms, data warehousing, and lakehouse architecture. It also works on AI-enabled robotics, smart IoT devices, and sensor-based applications.
DataRoot Labs delivers solutions across multiple industries, including automotive, logistics, transportation, manufacturing, healthcare, cybersecurity, e-commerce, real estate, media, fintech, and sports.
The company is a member of the NVIDIA Inception Program, a global accelerator supporting startups that are advancing innovation in AI and data science.
Recognition
In 2022, DataRoot Labs was included in Forbes' list of the top 10 AI consulting firms.[2] It was featured in VentureBeat’s analysis of AI R&D providers.[3] It was recognized by HRReporter as a 5‑Star Software and Technology Provider.[4]
Awards
- Technology Innovator Awards – Best AI Development Company[5]
- Winner of the Kaggle Competition[6] by Career Village for an ML-powered recommendation engine
External links
References
- ^ https://www.nucamp.co/blog/coding-bootcamp-ukraine-ukr-top-5-best-ai-bootcamps-in-ukraine-in-2025
- ^ https://www.forbes.com/sites/bernardmarr/2022/08/17/what-are-the-10-best-ai-consulting-firms/
- ^ https://venturebeat.com/ai/external-ai-rd-labs-are-becoming-a-competitive-advantage-for-innovation/
- ^ https://www.hrreporter.com/best-in-hr/5-star-software-and-technology-providers-2022/369545
- ^ https://www.corporatevision-news.com/winners/2018-dataroot-labs/
- ^ https://www.kaggle.com/competitions/data-science-for-good-careervillage/discussion/91103