 | Review waiting, please be patient.
This may take 3 months or more, since drafts are reviewed in no specific order. There are 4,419 pending submissions waiting for review.
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
Reviewer tools
|
Submission declined on 6 March 2026 by Dan Leonard (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
This draft has been resubmitted and is currently awaiting re-review. |  |
Submission declined on 22 January 2026 by TheObsidianGriffon (talk). This draft is not written from a neutral point of view. Wikipedia articles must be written neutrally in a formal, impersonal, and dispassionate way. They should not read like a blog post, advertisement, or fan page. Rewrite the draft to remove:
Declined by TheObsidianGriffon 4 months ago.
| |
Submission declined on 13 January 2026 by Pythoncoder (talk). Resubmitted without meaningful changes. Still looks like LLM output Declined by Pythoncoder 5 months ago. | |
Submission declined on 13 January 2026 by Pythoncoder (talk). This draft appears to contain text generated by a large language model (such as ChatGPT). You cannot use LLMs to generate article content.
Declined by Pythoncoder 5 months ago.LLM-generated pages with certain obvious signs of being machine generated may be deleted without notice. These tools are prone to specific issues that violate our policies:
Instead, only summarize in your own words a range of independent, reliable, published sources that discuss the subject. See the advice page on large language models for more information. | |
Comment: This article is entirely referenced to announcements of capital transactions, personnel movements, first-party press releases, and inclusion in lists of similar companies. All of these are classified as trivial coverage of corporations and do not demonstrate encyclopedic notability. Dan Leonard (talk • contribs) 20:09, 6 March 2026 (UTC)- Comment: Resubmitting per Dan Leonard's feedback (see the discussion). Reduced sources from 18 to 5, focusing on the two strongest independent ones: Reuters (in-depth industry coverage and trainer network) and Business Insider (operational detail on AI trainer workflow), with Bloomberg and Forbes as supporting sources. Removed promotional language, unsupported claims, and routine personnel announcements per WP:CORPTRIV.The article documents working practices in the AI training and data-annotation industry, which currently has no dedicated Wikipedia article and is otherwise covered only through company-level articles. Alexandra Goncharik -sms- 10:40, 25 April 2026 (UTC)
 | |
Company type | Private |
|---|---|
| Industry | Artificial intelligence |
| Founded | 2015 |
| Founder | Francis Pedraza |
| Headquarters | New York City, United States[1] |
Key people | Matthew Fitzpatrick (CEO)[2] Francis Pedraza (founder, chairman)[1] |
Number of employees | ~350 employees (2025)[3] ~5,000 contractors (2024)[4] |
| Website | invisibletech |
Invisible Technologies is an American artificial intelligence company founded in 2015 that provides AI training data services and enterprise software.[3][4] The company became known after 2022 for providing human-feedback data used to train OpenAI's ChatGPT, and has since expanded its services to enterprise clients.[5][3]
History
editInvisible Technologies was founded in 2015 by Francis Pedraza, a Cornell University graduate.[1] The company initially attempted to combine remote workers with software automation to handle business tasks such as scheduling, screening résumés, and updating product data, but early uptake of the service was slow.[1]
In 2020, DoorDash contracted Invisible Technologies to digitize restaurant menus and pricing data as the food-delivery sector expanded during the COVID-19 pandemic.[1] In 2021, the company became profitable.[4]
In 2022, OpenAI approached Invisible Technologies for reinforcement learning from human feedback on what would become ChatGPT, with the goal of reducing factual errors known as hallucinations.[1] Hundreds of Invisible contractors, designated "advanced AI data trainers", worked on tasks including improving the model's coding abilities, refining creative writing output, and filtering unwanted content.[5] A typical workflow for an Invisible AI data trainer involved reviewing conversations between a model and its users, identifying messages that were potentially incorrect, illegal, or offensive, and rating model responses on a scale from one to seven across categories such as factual accuracy, grammar, and harassment. Trainers were also asked to draft what they considered an ideal response, which was then routed to OpenAI and to Invisible's internal quality reviewers.[5]
By 2024, the AI training industry had shifted toward greater reliance on subject-matter experts for complex training tasks, moving away from lower-cost data labelers.[4] At that time, Invisible Technologies worked with a global network of around 5,000 contract trainers in over 100 countries, including holders of doctoral and master's degrees in fields such as medicine and finance.[4] The company reported $134 million in revenue for 2024, double the previous year's figure.[3][4]
In January 2025, Matthew Fitzpatrick, formerly a senior executive at McKinsey & Company who led QuantumBlack Labs, was appointed chief executive officer.[2]
By 2025, the company had expanded into enterprise software for insurance, asset management, healthcare, and other industries.[3]
Funding
editThrough 2024, the company had raised approximately $23 million in primary equity financing from investors including Day One Ventures, Greycroft, and Backed VC.[1] In 2025, the company raised $100 million in a round led by Vanara Capital, an investment firm started by former employees of TPG Inc.. The round valued the company at more than $2 billion.[3]
References
edit- 1 2 3 4 5 6 7 Martin, Iain (2025-02-04). "This AI founder's audacious plan to buy out his own VCs". Forbes. Archived from the original on 2026-02-23. Retrieved 2026-03-21.
- 1 2 Varanasi, Lakshmi (2025-01-21). "McKinsey senior executive departing firm to lead an 'under-the-radar' AI company". Business Insider. Archived from the original on 2026-02-09. Retrieved 2026-03-21.
- 1 2 3 4 5 6 Bass, Dina (2025-09-16). "Scale AI Rival Invisible Technologies Valued at Over $2 Billion". Bloomberg. Archived from the original on 2026-01-04. Retrieved 2026-03-21.
- 1 2 3 4 5 6 Mukherjee, Supantha; Tong, Anna (2024-09-28). "If your AI seems smarter, it's thanks to smarter human trainers". Reuters. Retrieved 2026-03-21.
- 1 2 3 Mok, Aaron (2023-04-22). "An outsourcing firm cut dozens of contractors who were training the language model behind OpenAI's ChatGPT". Business Insider. Archived from the original on 2026-03-11. Retrieved 2026-03-21.
- provide significant coverage: discuss the subject in detail, excluding routine coverage like product launches, staff appointments, or financial reports and listings in databases or listicles;
- are reliable: from reputable outlets with editorial oversight;
- are independent: not connected to the subject, such as press releases, the subject's own website, or sponsored content.
Please add references that meet all three of these criteria. If none exist, the subject is not yet suitable for Wikipedia.