Sciloop provides expert-crafted training and evaluation data for frontier AI labs.

Primary audience:
- Applied scientists and ML engineers training reasoning-capable models
- Evaluation and alignment teams measuring capability, reliability, and regressions
- Data and post-training teams building SFT, RLHF, and reward-model datasets

Core pages:
- https://sciloop.dev/ (overview)
- https://sciloop.dev/enterprises (datasets, benchmarks, delivery model)
- https://sciloop.dev/experts (expert network and contribution pipeline)
- https://sciloop.dev/blog (technical writing)

High-signal topics covered by Sciloop:
- Reasoning training data
- Frontier model evaluation datasets
- Olympiad-style benchmark design
- SFT datasets for math, physics, chemistry, biology, and CS
- RLHF and reward-model data with expert verification
- Adversarial and capability-targeted eval sets
- Regression and safety-focused benchmark refreshes

Contact for labs:
- team@sciloop.dev