EEnterpriseLLayerIIntelligence by Techbible
Resources

Mabyduck - AI Orchestration and MLOps Tool

Mabyduck

Mabyduck

Founded by Lucas Theis

Evaluate AI image models using human feedback studies.

Cost

Pay As You Go

Time to value

Quick Setup (< 1 hour)

You can use Mabyduck to evaluate AI-generated images, audio, and video content through human feedback studies. The platform provides 13+ configurable experiments with pre-screened raters in 8 languages. You can create custom rubrics, track model performance over time, and build leaderboards to compare different AI models. Active selection strategies reduce evaluation time by automatically choosing which models to test next. Real-time analytics help you understand results quickly and choose cost-effective rater pools for your specific needs.

What Mabyduck does

Upload AI-generated content for human evaluationConfigure experiment parameters for specific evaluation needsMonitor real-time results as evaluations are completedCreate custom scoring rubrics for model assessmentSet up private leaderboards for team performance trackingCompare results between expert and crowd-sourced ratersExport evaluation data for further analysisSchedule recurring evaluations for ongoing model development13+ configurable experiment types for different evaluation needsActive selection strategies that reduce evaluation time by 34%Pre-screened raters in 8 different languagesReal-time analytics dashboard for quick result interpretationPrivate leaderboards for internal model performance trackingAutomated quality controls and manual spot checksTechnical support for raters during experimentsCustom rubric creation for specific evaluation criteria

Frequently asked

Want a tailored answer?

See whether Mabyduck fits your stack.

Techbible weighs Mabyduck against what you already pay for, your team shape, and the work that's actually happening. Free to start.

Mabyduck, AI model evaluation, human feedback, image quality assessment, GenAI evaluation, subjective studies, model comparison, leaderboards, active selection, multilingual evaluation, rater screening, real-time analytics, AI performance metrics, machine learning evaluation