Proof: Expert-Level
Data Infrastructure
High-stakes AI needs human proof.
Core Capabilities
What You Get
Expert-Level Datasets With Provenance
Every datapoint traced to the domain expert who created it, with full reasoning chains and source attribution.
Multi-Stage Verification & Arbitration
Multiple experts review each sample. Disagreements are resolved through structured arbitration, not majority vote.
Auditable Data Cards
Full transparency into quality metrics, expert profiles, annotation methodology, and inter-annotator agreement.
Domain Coverage
Critical Decisions
- Finance, Safety, Alignment, Red-Teaming
Verifiable Tasks
- Coding, STEM, Multimodal Reasoning
Human Judgment
- Writing, Judgment, EQ, Aesthetic, Art
How It Works
The Proof Process
Intake & Spec
We understand your data needs and define quality standards.
Expert Composing
Domain experts annotate with provenance and rationale.
Verification & Arbitration
Multi-stage review catches errors and resolves disagreements.
Quality Metrics
Statistical quality assurance with full audit trail.
Delivery & Iteration
Structured delivery with feedback loops for continuous improvement.
Use Cases
See Proof in Action
Explore how Proof delivers expert data across domains.
Get started with Proof
Domain expert in STEM, coding, or humanities? We'd love to work with you — careers@bakelab.ai