Afterquery
AI foundation models & expert datasets
CORE INFO
AfterQuery is an applied research lab dedicated to advancing the capabilities of foundation AI models through expertly curated data solutions. The company specializes in capturing and structuring expert reasoning and decision-making processes into training datasets, allowing AI systems to perform complex tasks with human-like expertise. Their offerings include supervised fine-tuning datasets, reinforcement learning frameworks, agent environments, and computer use trajectories, all designed to enhance AI model performance across various professional domains. Founded in 2025 and headquartered in San Francisco, California, AfterQuery collaborates with leading AI research labs and technology companies, providing them with specialized datasets and reinforcement learning environments. The company's mission is to teach machines how experts think, emphasizing that the future of AI will be trained on better thinking rather than more data. By encoding, evaluating, and scaling human expertise, AfterQuery aims to make it accessible and actionable for AI systems.
WHY WE WOULD WORK AT AFTERQUERY
Innovative AI Mission
Join a team dedicated to teaching machines human-like expertise, focusing on better thinking over more data.
Collaborative Team Culture
Work with a diverse group of experts in a supportive environment that values collaboration and innovation.
Competitive Compensation
Benefit from a Series A funded company with a $300 million valuation, offering attractive salary packages.
Rapid Career Growth
Be part of a fast-growing company that achieved a $100 million revenue run rate within 14 months.
Cutting-Edge Technology
Engage with advanced AI models and expertly curated datasets to push the boundaries of AI capabilities.
Impactful Industry Partnerships
Collaborate with leading AI labs and tech companies, contributing to projects that shape the future of AI.
MARKET AND TRACTION
GROWTH TACTICS
KEY METRICS
✦ KEY METRICNOTABLE CUSTOMERS
COMPETITIVE ADVANTAGE
SERVICES
PRODUCT AND TECH
Supervised Fine-Tuning Datasets
These datasets are meticulously curated to enhance AI models' performance by incorporating expert reasoning and decision-making processes. They enable AI systems to perform complex tasks with human-like expertise, crucial for industries requiring advanced AI capabilities.
Reinforcement Learning Frameworks
AfterQuery provides specialized frameworks that facilitate the development of AI models through reinforcement learning. These frameworks are designed to improve AI's decision-making abilities by simulating real-world scenarios and expert interactions.
Agent Environments
The company creates dynamic agent environments that simulate complex tasks, allowing AI models to learn and adapt in controlled settings. This technology is essential for training AI systems to operate effectively in diverse professional domains.
Computer Use Trajectories
By capturing and analyzing computer use patterns, AfterQuery develops datasets that reflect expert-level interactions with technology. This approach helps in fine-tuning AI models to better understand and predict user behavior.