Source of Training Asset.
Expert Intelligence Layer of AI
Distilling specialized human knowledge to power the next generation of models.
Model Training Know-How
Hands-on expertise in data pipelines
200K+ Registered & Verified
Largest credentialed expert network
SoTA Platform
State-of-the-Art infrastructure
As AI models grow more capable, the real constraint has shifted away from raw compute and scale — toward high-quality, expert-level data and evaluation. That's exactly where SoTALab operates.
Human expertise to guide model performance. We source knowledge from verified domain specialists across every field.
Real-world, multi-step problem solving. Not synthetic prompts — genuine challenges that stress-test model reasoning.
Cross-industry recognized evaluation. Benchmarks that reflect how models actually perform in deployment.
We distill highly specialized, interdisciplinary
human knowledge and experience —
bridging Zhihu's expert community with global AI labs.
Our focus is building data systems that are both
aligned with human values and practically effective
for model training and deployment.
Community → Benchmark
From Zhihu to the frontier
Discover new training directions
Surface emerging knowledge gaps and expert consensus from Zhihu's 200K+ community.
Define 'Zhihu-native' benchmarks
Create evaluation sets grounded in real expert discourse, not synthetic prompts.
Application → Evaluation
From deployment to measurement
Build evaluation systems for new AI applications
Design task-specific rubrics for novel AI use cases as they emerge in production.
Explore new AI-native consumption patterns
Identify how users actually interact with AI and translate that into training signal.
| Capability | Community Vendor | Training Vendor | SoTALab |
|---|---|---|---|
| Model Training Know-How | |||
| 200K+ Registered & Verified Expert Network | |||
| State of the Art Platform |
•Expert contributors across fields, producing in-depth original content
•Strengthening connection between humans for impactful professional discourse

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Join the people building the expert intelligence layer of AI. Two paths, one mission.