Scalable feedback infrastructure
Human Feedback
Scalable preference collection and evaluation infrastructure for continuous AI alignment and improvement.
Overview
What is Human Feedback?
Human feedback infrastructure provides the continuous pipeline of preference data, ratings, and structured feedback that keeps AI systems aligned and improving long after initial training.
Why it matters: AI alignment isn't a one-time task. Production models need an ongoing feedback loop of human judgment to catch drift, incorporate new preferences, and keep improving as usage patterns evolve.
Continuous Pipeline
Always-on feedback collection integrated with your production systems
Structured Ratings
Multi-dimensional rating scales tailored to your model's goals
Drift Detection
Statistical monitoring for rater and model quality drift
Trend Reporting
Regular insight reports surfacing systematic improvement areas
Workflow
How We Do It
01
Feedback Design
Define feedback types — ratings, rankings, corrections — aligned to your improvement goals.
02
Panel Recruitment
Recruit and train a feedback panel matched to your user base and domain.
03
Continuous Collection
Structured, ongoing feedback collection integrated into your production pipeline.
04
Quality Monitoring
Statistical monitoring flags rater drift and inconsistency in real time.
05
Insights Delivery
Aggregated feedback and trend reports delivered on your cadence.
Case Study
Consumer AI App
Consumer AI App
Build a continuous feedback loop for a production recommendation model
Solution
Always-on rating panel with weekly drift monitoring and trend reporting
Results
200K+
Feedback events/month
+22%
Relevance improvement
Ongoing
Engagement
Ready to Get Started with Human Feedback?
Tell us about your project and we'll scope a pilot within 48 hours.