AfterQuery
AfterQuery is an applied research lab that specializes in curating data solutions for frontier foundation model development.
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Our verdict
Who it's for
Curated data for frontier foundation models
Who should look elsewhere
Requires significant collaboration with domain experts for data capture.
Pros
- +Captures nuanced expert reasoning and decision-making for more capable AI.
- +Provides specialized datasets tailored for advanced model training.
- +Offers custom solutions and consulting for specific industry challenges.
- +Enables training of AI agents in high-fidelity, real-world simulation environments.
- +Focuses on improving model performance in complex, multi-step interactions.
Cons
- −Requires significant collaboration with domain experts for data capture.
- −The complexity of capturing tacit knowledge may limit scalability in some domains.
Key features
- ✓Supervised Fine-Tuning (SFT) data with prompt-response pairs and chain-of-thought reasoning
- ✓Reinforcement Learning (RL) with rubrics and automated verifiers for grading model outputs
- ✓Tool-calling RL Environments built on real APIs and developer tools
- ✓Computer-use and Browser-use Environments with human-demonstrated interactions
- ✓Reinforcement Learning from Human Feedback (RLHF) for capturing expert judgment
- ✓Code Generation datasets including expert-written code and debugging traces
- ✓Professional Domains data from verified practitioners across various industries
- ✓Deep Research datasets for long-horizon research tasks
Pricing
No public pricing plans recorded.