AfterQuery, founded in January 2025 by Spencer Mateega, Carlos Georgescu, and Danny Tang and launched through Y Combinator's Winter 2025 batch, captures how real-world experts reason and converts it into high-quality AI training data. The company builds datasets, benchmarks, and reinforcement-learning environments sourced from a network of more than 100,000 verified professionals across domains such as finance, medicine, and law, addressing the growing scarcity of expert reasoning data for advanced LLMs and agents. AfterQuery says every major AI lab now uses its services and that it reached roughly $100M in annualized revenue within about 14 months of founding. In April 2026 it raised a $30M Series A at a $300M valuation led by Altos Ventures, joined by The Raine Group, Y Combinator, BoxGroup, and angels from Anthropic, OpenAI, DeepMind, Meta, and Microsoft, to expand its expert network and enterprise offerings.
AfterQuery
ActiveExpert reasoning datasets and benchmarks for frontier AI
Total raised
$30M
1 round
Stage
Series A
Team
11-50
since 2025
Pricing
Freemium
free plan
Founded
2025
San Francisco, United States
Agent-ready
—
Expert-sourced training datasets
Domain benchmarks for evaluation
Reinforcement-learning environments
Network of 100,000+ verified professionals
Coverage in finance, medicine, and law
Custom dataset curation
Enterprise data solutions
Expert reasoning capture pipelines
10/100
Early
MCP server
Public API
Webhooks
OAuth 2.0
SDKs
No public agent surfaces detected yet.
— Series A $30M incl. Altos Ventures +3
Capital network
$30M raised ·4 backers·10 network links
- Backers4
- Shared portfoliocompanies these backers also fund
- Extended networkfunds that co-invest alongside them
Invisible Technologies
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AI AgentsData Labeling
Labelbox
RL data engine and human expertise platform for training frontier AI
Data LabelingSynthetic Data
LMArena
Crowdsourced leaderboard for ranking AI models
Foundation ModelsAI Evaluation
V7
Stop reading documents, start making decisions
AI DocsData Labeling
Datacurve
Frontier coding data for training LLMs
AI CodingData Labeling
Giskard
Secure AI agents with continuous AI red teaming
AI EvaluationAI Safety
- What does AfterQuery do?
- It curates expert datasets, benchmarks, and RL environments from verified professionals to train and evaluate AI models.
- Who uses AfterQuery?
- The company says every major AI lab uses its services for expert training data.
- How much has AfterQuery raised?
- AfterQuery raised a $30M Series A at a $300M valuation led by Altos Ventures.
- When was AfterQuery founded?
- AfterQuery was founded in January 2025 and launched via Y Combinator's Winter 2025 batch.
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