Rubric and Verifier-Based RL
Rubric and verifier development for reinforcement-learning programs.
Expert human data and RL environments across code, finance, and computer use
AfterQuery recruits domain experts to produce frontier training data, computer-use trajectories, and RL-style benchmark environments spanning coding, finance, and enterprise workflows. It sells to frontier AI labs and publishes benchmarks such as AppBench.
AppBench benchmark
| Website | afterquery.com |
|---|---|
| Domains | Multi-Domain, Coding, Finance |
| Location | San Francisco, New York, Seattle |
| Team size | 51-100 |
| Funding | $30.5M total (reported) |
| Founders | Carlos Georgescu @CarlosGeorgescu, Spencer Mateega @spencermateega, Danny Tang |
Focus areas and technical capabilities are shown separately. Missing technical evidence remains Unknown.
Products and services supported by official company materials. Reviewed 2026-08-16.
Rubric and verifier development for reinforcement-learning programs.
RL environments centered on tool-calling workflows.
Supervised fine-tuning data programs.
Training environments for computer and browser use.
Human-feedback data for post-training.
Expert data for code generation.
Expert data from professional domains.
Data programs for deep-research systems.
Analysis of model failures and losses.
Multimodal training and evaluation data.
Ready-made commercial training data.
Custom evaluation and training datasets.
A benchmark for evaluating AI systems that generate modern web applications.
Verified public artifacts and documented private commercial inventory.
Company representatives and researchers can propose sourced changes. Submissions do not directly overwrite editorial data.
Also listed under Multi-Domain, Coding, Finance.
| Name | Domains | Type / catalog | Location | Team | Funding | Raising |
|---|---|---|---|---|---|---|
| Rise Data Labs RL environments and tasks across multiple domains, supported by a large expert network | Computer Use, Coding, Finance, Cybersecurity, Legal, Data Labeling, Enterprise, Multi-Domain, RLHF, Custom Environments | Data + environments 3 artifacts | New York, United States | 11-25 | - | Unknown |
| Akhara Enterprise and code RL environments | Enterprise, Coding | Pure-play commercial Catalog unknown | San Francisco | 1-10 | - | Unknown |
| Artificial Analysis Independent benchmarking of AI models across intelligence, speed, and price | Multi-Domain, Machine Learning | Pure-play commercial Catalog unknown | San Francisco | 11-25 | $2.6M (2024) | Unknown |
| BenchFlow Open-source benchmark hub and eval infrastructure for agents | Enterprise, Browser, Coding | Pure-play commercial Catalog unknown | San Francisco | 1-10 | ~$1M (reported) | Unknown |
| Bespoke Labs Data curation and RL environment recipes from ex-Google DeepMind researchers | Coding, Machine Learning | Pure-play commercial Catalog unknown | Mountain View, Menlo Park, Bangalore, San Francisco | 11-25 | ~$40M (reported) | Unknown |
| Datacurve Frontier coding data and repository RL environments via the Shipd bounty platform | Coding, RLHF | Data + environments Catalog unknown | San Francisco | 26-50 | Series A, $15M led by Chemistry (Oct 2025); $17.7M total | Unknown |