# Rapidata Reviews
**Vendor:** Rapidata  
**Category:** [Logiciel d'étiquetage de données](https://www.g2.com/fr/categories/data-labeling)
## About Rapidata
Rapidata is a human feedback platform built for AI teams that need fast, scalable, and high-quality human preference data for reinforcement learning from human feedback (RLHF), model evaluation, and post-training workflows. We help AI labs, model providers, and product teams collect human judgments on model outputs through an API-first platform designed for speed, scale, and flexibility. RLHF depends on reliable human feedback: comparisons, rankings, ratings, and qualitative judgments that help models better align with human preferences. Rapidata makes it easy to collect this feedback from real people across diverse geographies, languages, and demographics. Teams can use Rapidata to compare responses from large language models, evaluate image or video generation outputs, rank model completions, validate synthetic data, assess safety and helpfulness, and generate preference datasets for fine-tuning, reward modeling, DPO, and RLHF pipelines. Unlike traditional data labeling vendors, Rapidata is optimized for modern AI development cycles. Instead of slow, project-based annotation processes, teams can launch feedback tasks programmatically and receive results quickly. This allows researchers and engineers to evaluate model variants, run preference tests, identify failure modes, and iterate on model behavior much faster. Rapidata supports a wide range of human-in-the-loop evaluation workflows, including pairwise comparisons, Likert ratings, classification, ranking, transcription, multimodal evaluation, and custom task designs. The platform is particularly useful for teams working on large language models, generative AI, image generation, text-to-speech, recommendation systems, AI assistants, and other user-facing AI products where human judgment is essential. Our goal is to make human feedback as accessible and programmable as any other part of the AI stack. With Rapidata, teams can collect statistically meaningful feedback from real humans at scale, integrate results directly into their training or evaluation pipelines, and continuously improve model quality based on what people actually prefer. Rapidata helps AI teams move faster from raw model outputs to aligned, high-performing systems by making RLHF and human evaluation workflows scalable, repeatable, and API-driven.






- [View Rapidata pricing details and edition comparison](https://www.g2.com/fr/products/rapidata/reviews?section=pricing&secure%5Bexpires_at%5D=2026-05-27+14%3A38%3A32+-0500&secure%5Bsession_id%5D=784cf8e9-9b73-4a36-9af7-11c263135cc6&secure%5Btoken%5D=215ffcdfbb8cdff72f5909a92ea729ca2d5dc9f515aa0b2a3cff62db8213b429&format=llm_user)

## Rapidata Features
**Qualité**
- Qualité de l’étiqueteuse
- Qualité des tâches
- Qualité des données
- Humain dans la boucle

**Automatisation**
- Pré-étiquetage Machine Learning
- Routage automatique de l’étiquetage

**Annotation d’image**
- Segmentation d’image
- Détection d’objets
- Suivi des objets
- Types de données

**Annotation en langage naturel**
- Reconnaissance d’entité nommée
- Détection des sentiments
- Ocr

**Annotation vocale**
- Transcription
- Reconnaissance des émotions

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