AfterQuery
An applied research lab curating expert-crafted training data solutions — SFT pairs, RL environments, and computer use trajectories — to accelerate foundation model development.
AfterQuery
An applied research lab curating expert-crafted training data solutions — SFT pairs, RL environments, and computer use trajectories — to accelerate foundation model development.
Executive Summary
AfterQuery is a YC W25 pre-seed company building a research-first AI training data business, with a credible thesis that frontier model performance is bounded by data quality — a belief now mainstream among frontier labs. The market timing is genuinely favorable: Scale AI's Meta acquisition has created a neutrality gap, the AI training dataset market is growing at ~23% CAGR, and demand for agentic and computer-use training data is emerging fast. The founding team is unusually well-credentialed for their age, but every major traction claim — including serving "all frontier AI labs" — is self-reported and unverified by any independent source. The single biggest risk is financial: $500K raised against a headcount that implies unsustainable burn, with zero public confirmation of named customers, revenue, or runway. This is a high-potential, high-risk pre-seed bet that lives or dies on its next fundraise and whether those frontier lab relationships are real.
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