Command AGIAlign agents to human judgment
Capture, version, and deploy human judgment at scale. Train reward models, orchestrate annotation pipelines, and align AI agents to human preferences.
The Problem
AI generates. Humans curate.
Generative models produce unlimited output, but aligning that output with specific aesthetic standards still requires human judgment. We make that judgment programmable.
Structured Elicitation
Multi-modal preference capture through labeled references and pairwise comparisons. Turn subjective judgment into structured data.
Git-like Version Control
Branch, commit, and merge preference profiles. Explore variations without losing progress. Diff and rollback changes.
REST API Evaluation
Score any image against a preference profile via API. Sub-100ms latency. Filter, rank, and route content programmatically.
Process
How it works
Three steps from raw preferences to production API
Define
Label reference images, answer preference questions, and compare pairs to build a latent preference model.
Refine
Branch to explore alternatives. Commit iterations. Merge inputs from multiple stakeholders or annotators.
Deploy
Query your profile via REST API. Score images in milliseconds. Integrate into any pipeline or product.
Use Cases
Who it's for
Any team that needs to encode subjective quality standards into software
Video & Post-Production
- Automate frame selection against brand guidelines
- Score B-roll and selects programmatically
- Codify an editor's visual sensibility for downstream tools
AI Art & Generative Design
- Filter AI generations by aesthetic alignment
- Build preference-conditioned diffusion pipelines
- Personalize creative tools to individual users
Content Platforms & Feeds
- Build preference-aware recommendation systems
- Curate feeds by visual quality, not just engagement
- Match creators with aesthetically-aligned audiences
Research & Annotation
- Collect diverse aesthetic preferences at scale
- Build demographically-segmented preference models
- Track how preferences evolve across populations
Scale your annotation pipeline
Our marketplace connects you with professional annotators who label frames according to your criteria. Quality-controlled with agreement scoring and demographic targeting for diverse perspectives.
- Pay per annotation with transparent, per-unit pricing
- Built-in quality control via inter-annotator agreement
- Demographic targeting for representative preference data
Label a frame
Binary classification
Compare two frames
Pairwise preference
Platform fee
Configurable per project
Get Started
Ready to make preferences programmable?
Create your first preference profile and start evaluating content in minutes.
Get Started Free