Draft:AfterQuery
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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:
This draft is not adequately supported by reliable sources. Wikipedia's verifiability policy requires that all content be supported by reliable sources.
Declined by A.Classical-Futurist 19 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 | ~30 (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 produces human-curated training datasets, reinforcement-learning environments, and evaluation benchmarks for large language models and artificial intelligence agents.[1][2] It was founded in January 2025 by Spencer Mateega (CEO), Carlos Georgescu (CTO), and Danny Tang.[2][3]
History
[edit]Mateega and Georgescu met during a high-school Google computer science summer program and later interned together at Meta. While still students—Mateega at the University of Pennsylvania and Georgescu at the University of British Columbia—they submitted an application to Y Combinator's Winter 2025 batch without a defined product, assembling it within 48 hours before the deadline.[1]
The founders' first product, an AI agent for finance, was unsuccessful. They concluded that large language models struggled with many professional workflows because they had not been trained on how professionals actually behave throughout their work, prompting a pivot from 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] The company said it had surpassed $100 million in annualized revenue run rate at the time of the announcement, roughly fourteen months after launch.[1][4]
According to Forbes, AfterQuery competes with data-labeling firms such as Mercor in selling training data to AI labs including OpenAI and Anthropic; its CEO has said the company differentiates itself from competitors that rely on large contractor pools by building custom software systems to validate training data.[1] 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 which 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 engineering, medicine, law, and finance.[4]
External links
[edit]- ^ a b c d e f g h 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.
- ^ a b "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.
- ^ a b c d "AfterQuery revenue, funding & news". Sacra. Retrieved July 1, 2026.
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