Expert data platforms
AfterQuery
An applied research lab turning expert reasoning and real workflows into model training data.
Partial public dataCompany stated
AfterQuery describes its work as capturing how experts make decisions, then structuring that knowledge into supervised fine-tuning data, reinforcement-learning tasks and rubrics, agent environments, and computer-use trajectories.1
Official website- Official name
- AfterQuery
- Founded
- Not publicly disclosed
- Headquarters
- Not publicly disclosed
- Primary capability
- Expert reasoning data and agent training
- Business model
- Custom research and data programs for model developers and enterprises.
Products & services
What the company provides
- Supervised fine-tuning datasets
- RL tasks and rubrics
- Agent environments
- Computer-use trajectories
Differentiators
How it presents its approach
- Captures decision process rather than outputs alone
- Combines data creation with model-failure research
- Supports tool-using and computer-use agents
Lifecycle role
Where it fits
Target customers
Who the work serves
- Foundation-model researchers
- Enterprises with domain-specific workflows
Related concepts
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Sources
Evidence used in this profile
Company claims are labeled “Company stated.” Third-party reporting is labeled separately and is not treated as confirmation of every company claim.
- [1]We teach machines how experts think
Supported claims
- SFT data
- RL rubrics
- agent environments
- computer-use trajectories
Evidence statusCompany stated - [2]How We Improved Terminal-Bench 2.0 Scores by Over 5x
Supported claims
- research-led training data work
- agent evaluation research
Evidence statusCompany stated