Draft:AfterQuery
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Declined by Qcne 47 days ago.
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Submission declined on 8 July 2026 by A.Classical-Futurist (talk). This draft's references do not show that the subject meets Wikipedia's criteria for inclusion for organizations and companies. The draft requires multiple published secondary sources that:
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Declined by A.Classical-Futurist 48 days ago.
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| File:AfterQuery logo.png | |
| AfterQuery | |
| Type | Private |
| Industry | Artificial intelligence |
| Founded | January 2025 |
| Founders | Spencer Mateega (CEO) Carlos Georgescu (CTO) |
| Headquarters | 101 2nd St., San Francisco, California, United States , United States |
| Revenue | >US$100 million (annualized run rate, claimed 2026)[1] |
Number of employees | ~50 (2026)[1] |
| Website | https://www.afterquery.com https://experts.afterquery.com |
AfterQuery
[edit]AfterQuery is an American artificial intelligence company based in San Francisco, California, that makes training datasets and evaluation benchmarks for large language models and artificial intelligence agents.[1][2] AfterQuery was founded in January 2025 by Spencer Mateega (CEO), Carlos Georgescu (CTO), and Danny Tang (COO).[2][3]
History
[edit]Mateega and Georgescu met in high-school during a Google computer science summer program and later interned together at Meta. While, Mateega attended the University of Pennsylvania and Georgescu at the University of British Columbia, they submitted an application to Y Combinator's Winter 2025 batch.[1]
The founders' first product, an AI agent for finance, was unsuccessful. Through this experience, the founders realized many large language models struggled with many professional workflows due to the lack of training on how professionals behave throughout their work, prompting a shift towards building end-user applications to producing training data instead.[1]
In April 2026, AfterQuery announced a $30 million Series A funding round at a $300 million valuation, led by Altos Ventures, with participation from The Raine Group, Y Combinator, BoxGroup, and individual investors from Anthropic, OpenAI, Google DeepMind, Meta Superintelligence Labs, and Microsoft's AI division.[1][4] AfterQuery claimed it had surpassed $100 million in annualized revenue run rate, roughly fourteen months after launch.[1][4]
According to Forbes, AfterQuery shares similarities with data-labeling firms such as Mercor in selling training data to AI labs including OpenAI and Anthropic. A private-markets analysis by Sacra similarly identifies Mercor and Surge AI as AfterQuery's closest strategic competitors, alongside Scale AI and Labelbox, and notes that AfterQuery's revenue is concentrated among a small number of frontier AI labs and large technology companies.[4]
AfterQuery Experts
[edit]AfterQuery Experts is a contributor-facing platform through where domain professionals are recruited and paid to complete task-based work used to train AI models and datasets. The platform draws on a network of nearly 100,000 verified professionals across various domains such as engineering, medicine, law, and finance.[4]
External links
[edit]- 1 2 3 4 5 6 7 Tong, Anna (April 9, 2026). "This 23 Year-Old's New AI Data Company Has Already Hit A $100 Million Run Rate". Forbes. Retrieved July 1, 2026.
- 1 2 "AfterQuery". Y Combinator. Retrieved July 1, 2026.
- ↑ Deutscher, Maria (April 10, 2026). "AI training data startup AfterQuery nabs $30M investment". SiliconANGLE. Retrieved July 1, 2026.
- 1 2 3 4 "AfterQuery revenue, funding & news". Sacra. Retrieved July 1, 2026.
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