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Enterprise Layer Intelligence
Categories/AI Orchestration & MLOps/Mabyduck
Mabyduck

Mabyduck

Founded by Lucas Theis

Evaluate generative AI models for audio, video, and images using human feedback

Pricing model

Free Tier, Paid

Time to value

Quick Setup (< 1 hour)

You can use Mabyduck to evaluate and benchmark generative AI models across image, video, and audio outputs using real human feedback. It lets you run pairwise preference tests, subjective surveys, and interactive studies with localized interfaces and qualified raters. You can configure experiments programmatically through a REST API, run regression tests across model releases, and collect RLHF training data. The service also supports embedding interactive AI avatars or 3D environments, recording participant sessions, and generating clear leaderboards to monitor overall performance changes over time.

What Mabyduck does

Set up side-by-side visual comparison experimentsConfigure audio sample evaluation rubricsTrigger evaluation workflows using REST API endpointsFilter qualified raters based on language and dialectReplay recorded user sessions to inspect avatar conversationsTrack model benchmark scores on a centralized leaderboardAutomate experiment completion notifications via webhooksPairwise preference testing for side-by-side image and video comparisonsAudio quality evaluations with multilingual raters across dialectsAutomated REST API and webhooks to trigger studies directly from codeRLHF data collection pipelines for fine-tuning generative modelsEmbedded interactive studies for evaluating live AI avatars and 3D experiencesLeaderboards and scoring rubrics to track model regression over timeUser session recording and browser debugger to review rater interactions

Pricing breakdown

Pricing model: Free tier, Paid

PlanList price
StarterFree
Business£950 / mo

Frequently asked

REST API (Full CRUD), Okta (SSO), Amazon S3 (Data storage), Slack (Notifications), Webhooks, OpenAPI/Swagger, Postman, Amazon S3, JavaScript Embedding

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Mabyduck, model evaluation, human feedback, RLHF, GenAI evaluation, pairwise preferences, audio evaluation, video benchmarking, image benchmarking, model leaderboards, subjective studies, interactive avatar testing, regression testing, AI benchmarking, LLM evaluation, rater feedback