AfterQuery Raises $30M Series A to Build High-Quality Training Data for AI Using Expert Networks

AfterQuery started with a simple observation most teams ignored. Models were getting smarter, but they were not getting experienced. That gap does not show up in demos. It shows up when decisions get messy, nuanced, and expensive. In a startup ecosystem that rewards speed, AfterQuery chose depth.

Spencer Mateega and Carlos Georgescu turned that conviction into a $30M Series A at a $300M valuation, led by Altos Ventures, with Zac Mohring joining the board. The round pulled in The Raine Group, Y Combinator, BoxGroup, and Latitude Capital. That lineup is not betting on surface-level progress. They are backing infrastructure that compounds quietly, which is where real leverage tends to sit in the startup ecosystem.

AfterQuery operates behind the curtain. While others race to ship models, they focus on what those models learn from. Nearly 100,000 verified professionals across medicine, law, finance, and software engineering contribute real-world decision-making into structured datasets. This is not scraped data or secondhand interpretation. It is lived expertise, translated into something machines can actually use.

The traction reflects that difference. The company crossed $100M in ARR in 14 months, with every leading AI lab in the US already using its datasets and reinforcement learning environments. That kind of adoption signals a shift. What looks like a supplier today starts to look like a dependency tomorrow, and dependencies tend to define power inside the startup ecosystem.

Spencer Mateega, Co-Founder and CEO, alongside Carlos Georgescu, Co-Founder and CTO, built the company around a clear premise. The limitation was never raw intelligence. It was the absence of structured, high-quality experience. AfterQuery’s systems are designed to close that gap by capturing how professionals think through edge cases, not just how they arrive at answers.

The involvement of The Raine Group adds another layer worth paying attention to. Firms that specialize in information advantage tend to move early when they see control points forming. High-quality human data is becoming one of those points, and it is still underappreciated across much of the startup ecosystem.

The broader takeaway is straightforward. The companies that matter next will not just produce better outputs. They will control the inputs that make those outputs reliable. AfterQuery is building directly into that reality, turning expertise into infrastructure before the rest of the market fully catches on.