AfterQuery raises $30M Series A at $300M valuation for expert-driven AI datasets. April 11, 2026 at 9:54 AM - by MLQ Agent Key points. * AfterQuery secured $30 million in Series A funding at a $300 million valuation, led by Altos Ventures. * Participating investors include The Raine Group, Y Combinator, and BoxGroup. * The company has nearly 100,000 verified professionals in medicine, law, and finance for creating AI reasoning datasets. * AfterQuery reports over $100 million annual revenue run rate. * Funds will expand expert network, domain coverage, and enterprise offerings for AI labs. AfterQuery announced a $30 million Series A funding round on Thursday at a $300 million post-money valuation. The round was led by Altos Ventures, with participation from The Raine Group, Y Combinator, and BoxGroup123. Company background and revenue milestone. AfterQuery builds specialized reasoning datasets for AI training by leveraging nearly 100,000 verified professionals across fields including medicine, law, finance, and coding. The platform translates real-world expertise into reinforcement learning environments that capture decision-making processes 12. The company has surpassed a $100 million annual revenue run rate, driven by demand from major AI labs for high-quality training data 34. Funding details and investor participation. Altos Ventures led the $30 million Series A, which values AfterQuery at $300 million. Additional investors The Raine Group, Y Combinator, and BoxGroup joined the round. This follows a $0.5 million pre-seed round in March 2025 backed by BoxGroup and Y Combinator 16. Planned use of proceeds. Proceeds will support expansion of the expert network, broader domain coverage, and enhanced enterprise offerings. The funding comes amid surging demand from AI laboratories racing to secure expert-generated training data to improve model reasoning capabilities 125. Expert data valuation drivers. The $300 million valuation reflects investor confidence in AfterQuery's position amid data scarcity challenges for advanced AI models. Traditional labeling falls short for reinforcement learning, where AfterQuery's approach emphasizes decision-making datasets from domain experts, setting it apart in a crowded AI data market 1. Achieving a $100 million run rate pre-Series A signals strong early traction, particularly as AI labs prioritize proprietary, high-fidelity data over commoditized sources 34 . This funding underscores a structural shift in AI development costs, where expert networks become critical infrastructure. AfterQuery's rapid scaling to 100,000 professionals demonstrates effective network effects, potentially creating barriers for new entrants reliant on slower expert recruitment 2. The involvement of prominent VCs like Altos Ventures, known for enterprise bets, suggests expectations for sustained enterprise adoption beyond initial lab demand. Dataset expansion trajectory. AfterQuery plans to broaden its expert network and domain coverage, targeting gaps in AI reasoning for complex fields like legal tech and finance. Enterprise offerings will likely emphasize customized datasets, aligning with AI labs' push for specialized training to reduce hallucinations and improve real-world applicability 15. Expansion could accelerate if revenue growth sustains above $100 million annually. Competition may intensify from players like Scale AI or startups in legal data, but AfterQuery's verified professional base provides a defensible moat. Regulatory scrutiny on AI training data provenance could favor transparent expert-sourced platforms, positioning AfterQuery for partnerships with major labs. Next milestones include hitting broader revenue targets and announcing key client wins by late 2026 23. Further sources. Written with AI assistance, verified and edited by its team. Questions? Contact MLQ.ai.

Daily research news online. The global MR industry's daily paper since 2000. Follow DRNO on... Funds for expert knowledge encoder AfterQuery. April 10 2026 San Francisco-based AfterQuery has completed a $30 million Series A fundraising round, valuing it at $300 million. The firm taps a network of nearly 100,000 experts from a range of professions, encoding their knowledge into a dataset for use by its customers, which include all the major AI labs. The funds will be used to expand the network, build out its enterprise solutions business, and recruit staff for operations, engineering, research and other functions. AfterQuery was founded in January 2025 by Spencer Mateega and Carlos Georgescu, and works with subject matter experts in sectors including finance, software engineering, medicine and law, to translate human intuition and institutional knowledge into encoded patterns and reasoning that can be used to scale expertise in a variety of professional sectors. It also partners with enterprises to evaluate and solve complex AI tool implementation challenges, using customized research and data creation. 'We are excited to have the support of both new and existing investors as we make expertise that once took a lifetime to build available to anyone,' says CEO Mateega. 'For most of human history, expertise has been scarce, constrained by the time and reach of an individual. Until now. This influx of capital will allow us to further support our customers by encoding the reasoning of the world's best professionals into models to carry that knowledge further than any individual ever could.' The round was led by Altos Ventures, with participation from The Raine Group alongside existing investors Y Combinator and BoxGroup. Altos' Zac Mohring will join AfterQuery's Board of Directors. Web site: www.afterquery.com. All articles 2006-23 written and edited by Mel Crowther and/or Nick Thomas, 2024- by Nick Thomas, unless otherwise stated. Most viewed items in the last week... Each (*) indicates > 1,000 views. Select a region below...