AfterQuery AI is a research-driven data platform supported by Y Combinator, focused on sourcing and delivering expert-generated high-quality AI training data for complex professional domains, including finance, law, and software development.
Its datasets are meticulously constructed by domain experts (e.g., PhDs, senior practitioners), with high quality and low noise, designed to address weaknesses of general AI models, aiming to create a new gold standard for training data.
Primarily serves AI researchers, enterprises developing professional-domain AI applications (e.g., fintech, legal tech companies), and any teams needing high-quality benchmark data to evaluate model performance.
You can obtain customized expert datasets from its platform for model fine-tuning, human feedback reinforcement learning (RLHF), or testing and optimizing on its published professional benchmarks (such as LeetBench).
The platform aggregates domain experts from top institutions and enterprises who contribute by sharing expertise and tacit knowledge to data construction, and receive competitive compensation. The workflow is fully flexible and supports remote work.
焰火AI is an enterprise-grade generative AI inference platform that offers high-speed inference engines and customized fine-tuning services, helping developers and enterprises quickly build, deploy, and optimize high-quality AI applications.

Surge AI is a platform focused on delivering high-quality data services for AI model training. Through multimodal data labeling, model fine-tuning, and human feedback optimization, it helps enterprises and research institutions build and optimize state-of-the-art AI models.