Research programcompany reported
RLHF and RLAIF Research
Post-training research spanning human and AI feedback.
Public / Open
ResearchData + environmentsCatalog available · 2
SynthLabs
Post-training research: synthetic data and scalable RL alignment
SynthLabs is a post-training research company combining RLHF with synthetic AI feedback (RLAIF) to build scalable alignment and reasoning pipelines, publishing open research and datasets used in RL post-training.
Team includes founders of the trlX RLHF library
This legacy directory profile is awaiting claim-level source migration. Existing values are retained, not upgraded to verified facts.
| Website | synthlabs.ai |
|---|---|
| Domains | Machine Learning, Alignment, RLHF |
| Location | San Francisco |
| Team size | 1-10 |
| Founded | 2023 |
| Funding | Seed (M12 and First Spark Ventures, 2024) |
| Founders | Louis Castricato, Nathan Lile |
Capability coverage
Focus areas and technical capabilities are shown separately. Missing technical evidence remains Unknown.
Catalog-evidenced technical capabilities
Unknown. No source-backed catalog capability record is available yet.
Capability catalog
Products and services supported by official company materials. Reviewed 2026-08-16.
Research programcompany reported
Generative Reward Models
Research on generative reward modeling.
Public / Open
Generative Reward ModelsEnvironments & datasets
Verified public artifacts and documented private commercial inventory.
No verified catalog items recorded yet. This does not mean the company has no environments or datasets.
Sources
Structured sources have not yet been migrated for this profile.
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