Preference collection for continuous alignment.
Overview
What is human feedback?
Human feedback infrastructure is the continuous pipeline of preference data, ratings and structured feedback that keeps AI systems aligned and improving long after initial training.
Alignment is not a one-time task. Production models need an ongoing loop of human judgment to catch drift, take on new preferences and keep improving as usage evolves.
Always-on feedback collection integrated with your production systems.
Multi-dimensional rating scales tailored to your goals.
Statistical monitoring for rater and model quality drift.
Regular insight reports surfacing systematic improvement areas.
Workflow
How we do it
- 01Feedback design
Define feedback types, ratings, rankings and corrections, aligned to your goals.
- 02Panel recruitment
Recruit and train a feedback panel matched to your user base and domain.
- 03Continuous collection
Structured, ongoing collection integrated into your production pipeline.
- 04Quality monitoring
Statistical monitoring flags rater drift and inconsistency in real time.
- 05Insights delivery
Aggregated feedback and trend reports delivered on your cadence.
Case study
Build a continuous feedback loop for a production recommendation model
Always-on rating panel with weekly drift monitoring and trend reporting.
Ready to get startedwith human feedback?
Tell us about your project and we will scope a pilot within 48 hours.