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Prodigy

prodi.gyData labelling & annotation🇩🇪

No liveness check has reached it yet; it has been in the index since 9 Oct 2026. How this is checked

Prodigy is a downloadable, scriptable annotation tool for creating training and evaluation data for NLP, large language models, computer vision, audio, and video. It supports custom workflows, model-assisted labeling, prompt engineering, and structured data extraction for AI teams.

Inferred · not functionally tested

PaidWebCLImacOSWindowsLinuxCloud-managed
Prodigy preview
Visit prodi.gy

Overview

6 features

Purpose: Creating and reviewing high-quality labeled data for training, evaluating, and improving AI and machine learning systems.

Inferred · not functionally tested

Audience: AI researchers, data scientists, and machine learning teams

Inferred · not functionally tested

Functions: data_extraction, analytics

Inferred · not functionally tested

Interfaces: API: unknown · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: unknown

Recorded constraints: pricing: paid · license: Proprietary · platforms: CLI, WEB · deployment: browser, cli, macos, windows, linux, cloud_managed

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: prodi.gy. These links do not verify the individual claims.

Prodigy sits in PulseGate's Data labelling & annotation category. Inferred · not functionally tested: It focuses on creating and reviewing high-quality labeled data for training, evaluating, and improving AI and machine learning systems. Inferred · not functionally tested: Prodigy is a B2B product aimed at AI researchers, data scientists, and machine learning teams. Basis unknown · not verified: Prodigy is paid. Basis unknown · not verified: It ships for the web, the command line, macOS, Windows, and Linux.

It is developed by Explosion (Germany). Inferred · not functionally tested: Among its 6 catalogued features are Text Annotation, Entity Recognition, and Text Classification.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • Text Annotation
  • Entity Recognition
  • Text Classification
  • Image Segmentation
  • Object Detection
  • Audio Annotation

Topics: Inferred · not functionally tested

Tags
data-annotationnlp-training-datacomputer-vision-labelingllm-evaluationcustom-workflows
AI capabilities
TextImageAudioVideoStructured
Inference: Hybrid

JSON profile · Text profile · Access guide

Built with & integrations

Framework
Next.js
Hosting
Netlify
AI providers
openai
Runs on
BrowserCLImacOSWindowsLinuxCloud-managed
Detected from
Next.js
x-powered-by header · /_next/static/ in the HTML
Netlify
x-nf-request-id header

Trust & compliance

Public signals
HTTPSTerms of Service
Legal
Terms of Service

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed8 Oct · 19:54 UTC
    Prodigy seen via Saashub
    Source: Saashub · Open

Frequently asked questions about Prodigy

What is Prodigy?
Inferred · not functionally tested: Prodigy focuses on creating and reviewing high-quality labeled data for training, evaluating, and improving AI and machine learning systems. It is catalogued under Data labelling & annotation on PulseGate.
Who is Prodigy for?
Inferred · not functionally tested: Prodigy is a B2B product built for AI researchers, data scientists, and machine learning teams.
Is Prodigy free?
Basis unknown · not verified: No — Prodigy is paid.
What platforms does Prodigy run on?
Basis unknown · not verified: Prodigy runs on the web, the command line, macOS, Windows, and Linux.
Is Prodigy still active?
Unverified. Prodigy has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
Who makes Prodigy?
Prodigy is developed by Explosion, based in Germany.

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