Structured reward signals on paper selection, data extraction, and report generation. Validated by professors.
What You Get
Data Alpha:
Access to the largest datasets of expert-validated evidence synthesis before publication.
Purpose-built reasoning environments:
Ground truth validated by academic researchers who publish on this work
Far more complex than math/coding benchmarks—sustained reasoning across massive document sets
Custom domain coverage:
Select from our catalog of commissioned systematic reviews (clinical trials, drug safety, methodology evaluation)
Request new reviews—we collaborate with leading researchers to map topics and validate data
First access to new benchmark environments as they're created
Academic-grade infrastructure:
Analysis-ready datasets with complete provenance and audit trails
Continuous expansion with new reviews and domains
Partnership Model
Select a target domain from our catalog or request new systematic reviews (e.g., clinical trial evaluation, drug safety analysis, methodological rigor assessment)
Contact us to request a sample environment, explore domain options, or collaborate on new reviews for your specific capability targets.
Impact
Training on our environments improves deep research capability, and specifically benchmarks like AstaBench Literature Understanding Leaderboard — testing how well agents find papers, assess citations, extract information, and synthesize evidence.