AfterQuery
We teach machines how experts think — applied research lab connecting 100,000+ verified professionals with frontier AI labs.
What is AfterQuery?
AfterQuery is a San Francisco applied-research lab founded in January 2025 (Y Combinator W25 batch) by three Wharton/Penn co-founders — Spencer Mateega (CEO), Carlos Georgescu, and Danny Tang. The company curates data solutions that capture expert reasoning and real-world workflows, then converts them into training data for foundation-model labs. Service portfolio: Supervised Fine-Tuning datasets with chain-of-thought reasoning, Reinforcement Learning with expert-designed rubrics, Agent Environments (API/MCP) for real workflows, and Computer Use Trajectories from human demonstrations. Their network spans nearly 100,000 verified practicing professionals across finance, law, medicine, engineering, software, ML/data science, business, and health. AfterQuery raised a $30M Series A at a $300M valuation (April 2026, led by Altos Ventures with The Raine Group, Y Combinator, and BoxGroup) and is reportedly above $100M annual revenue run rate within ~16 months of founding. Sign up to contribute at https://experts.afterquery.com/.
Mission & values
Teach machines how experts think — capture expert reasoning and real-world workflows, then convert them into training data that teaches AI models how professionals actually solve problems.
Qualifications
Two engagement paths exist. (1) AfterQuery Experts (experts.afterquery.com) — the contributor program for domain professionals. Active tracks include finance, law, medicine, engineering, software engineering, ML/data science, business, and health. ML/DS expert listings target 1–3 years of experience; PhD is not strictly required but specialist tracks command higher rates. Per public coverage, pay ranges roughly $40–$50/hr for general expert work and up to $200–$250/hr for top-of-skill specialists. (2) Corporate hiring at afterquery.com/careers — 18 open roles, all in San Francisco and mostly onsite (Engineering, Research on Frontier Data and Post-Training, Strategic Projects/Operations, Growth, Sales). For remote-only contributors, the Experts side is the relevant path.
Leadership
Carlos Georgescu
Co-Founder
Met Spencer at a Google high-school summer program; later interned together at Meta. Previously at Citadel Securities (2x), Meta, and Google. Past acquired ed-tech founder.
Danny Tang
Co-Founder
Met Spencer in high school where they co-founded and sold a startup. Both attended Wharton as roommates before launching AfterQuery.
Hiring process
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1
Apply at experts.afterquery.com/apply
Submit an application listing your domain expertise and credentials.
About 1 day
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2
Vetting & domain assessment
Pass domain-specific tests for the Experts track you target (finance, law, medicine, engineering, SWE, ML/DS, etc.).
About 5 days
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3
Onboarding
Calibration tasks, profile setup, and platform onboarding.
About 3 days
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4
Project matching
Get matched to AI-lab client projects (SFT data, RL rubrics, Agent Environments, Computer Use Trajectories).
About 5 days
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5
Get paid
Per-project payouts processed through the platform.
About 7 days
Funding
Awards & recognition
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$30M Series A at $300M valuation · 2026
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$100M+ annual revenue run rate within ~16 months of founding · 2026
BusinessWire / FinSMEs
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Y Combinator Winter 2025 batch · 2025
Company information
- Industry: AI / Machine Learning
- Location: San Francisco, CA, USA
- Founded: 2025
- Company size: 11-50
- Website: www.afterquery.com ↗
- LinkedIn: Company page ↗
- X / Twitter: Profile ↗