AfterQuery is a research lab and data provider that specializes in procuring high-quality, specialized datasets that cannot be found online or synthetically generated. AfterQuery supports AI companies by sourcing human-generated datasets to improve the performance of advanced machine learning models.
The company focuses on advancing the boundaries of artificial intelligence through empirical research and the development of datasets tailored to challenging use cases. Their work spans foundational model improvement, enterprise AI, and the development of AI agents, with a particular emphasis on delivering data that enables robust model evaluation and training beyond what is publicly available or easily created with existing tools.
How Was AfterQuery Started and Who Leads It?
AfterQuery was founded by Carlos Georgescu, Danny Tang, and Spencer Mateega. The leadership team brings together expertise in artificial intelligence, empirical research, and data engineering, reflecting the company’s dual focus on academic rigor and real-world data challenges.
What Does AfterQuery Offer?
AfterQuery’s core offering is the procurement and curation of human-generated, specialized datasets for AI research and product development. Their services are particularly valuable for:
- AI companies seeking unique data that cannot be scraped or generated by current synthetic methods.
- Organizations testing foundational models, enterprise AI applications, or AI agent systems that require nuanced, high-quality data for benchmarking and evaluation.
A notable example of their work is the VADER benchmark, released in May 2025, which provides a human-evaluated dataset designed to assess large language model (LLM) performance in vulnerability assessment and remediation. This benchmark covers 174 real-world software vulnerabilities and supports rigorous evaluation across four key vulnerability-handling dimensions (see the publication).
Who Uses AfterQuery?
While specific customer names have not been disclosed, AfterQuery’s offerings are aimed at:
- AI research labs
- Enterprise AI teams
- Companies developing or fine-tuning foundational models
- Organizations building or testing AI agents
These groups benefit from access to high-quality, human-generated data that cannot be easily sourced elsewhere.
Who Are AfterQuery’s Competitors?
AfterQuery operates in a niche segment of data procurement and empirical AI research. Competitors may include traditional data providers, AI research labs, and benchmarking organizations, particularly those supplying specialized or hard-to-find datasets. However, AfterQuery differentiates itself by focusing on datasets that are both human-generated and tailored for advanced AI evaluation and development use cases.
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