Scale AI is a data infrastructure company that provides the "ground truth" data needed to train artificial intelligence. They use a combination of software and human experts to label and validate data for companies like OpenAI and Meta.

No, Scale AI is primarily an enterprise B2B platform. While they may offer demos or limited tiers for developers (like Scale Rapid), their core services are paid and geared towards large organizations.

How is Scale AI related to the new Meta models?

As of late 2025, Meta has invested over $14 billion to acquire a near-majority stake in Scale AI. Scale's infrastructure is now being used to train Meta's next-generation "Mango" (video) and "Avocado" (text) models, with Scale's founder Alexandr Wang overseeing the project.

What is RLHF and does Scale AI do it?

RLHF stands for Reinforcement Learning from Human Feedback. It is a technique where humans rank AI responses to teach the model what is "good" or "bad." Scale AI is a leading provider of this service, which is essential for making chatbots like ChatGPT or Llama helpful and safe.

Scale AI

The data engine for AI.

From Meta

Founder: Alexandr Wang

Data & Analytics

2016

100K+

Paid

Pricing Model

Paid

Starting Price

N/A

About This AI

Scale AI is the leading data infrastructure platform for artificial intelligence, specializing in high-quality data labeling and Reinforcement Learning from Human Feedback (RLHF).

Following a strategic $14 billion investment from Meta in 2025, Scale AI now serves as the backbone for Meta’s next-generation “Mango” and “Avocado” models.

Its “Data Engine” allows enterprises to fine-tune and evaluate LLMs with expert human oversight.

Analytics Chatbot Coding LLM

Pricing

Pricing Model

Paid

Starting Price

N/A

Key Features

Provides massive-scale human feedback to train models for accuracy and safety (essential for the new "Avocado" coding model).
An enterprise-grade AI platform that allows companies to deploy and manage custom LLMs.
A full-stack solution for building, testing, and monitoring generative AI applications.
Uses machine learning to pre-label data, significantly speeding up the annotation process for images and video.
Specialized solutions for government AI applications.

Pros

The "Gold Standard" for high-quality training data in the AI industry.
Massive human workforce ensures higher accuracy than purely synthetic data.
Deep integration with major cloud providers and model builders.
Supports complex multimodal data (3D sensor fusion, medical imagery, etc.).

Cons

Can be significantly more expensive than automated or open-source labeling tools.
Human-in-the-loop processes can introduce latency compared to fully automated solutions.
Privacy and security concerns when handling sensitive enterprise data with human labelers.

Best for AI research labs building foundation models, autonomous vehicle companies requiring sensor annotation, and enterprises needing to fine-tune custom LLMs with high accuracy.

FAQs

What is Scale AI?
Scale AI is a data infrastructure company that provides the “ground truth” data needed to train artificial intelligence. They use a combination of software and human experts to label and validate data for companies like OpenAI and Meta.
Is Scale AI free?
No, Scale AI is primarily an enterprise B2B platform. While they may offer demos or limited tiers for developers (like Scale Rapid), their core services are paid and geared towards large organizations.
How is Scale AI related to the new Meta models?
As of late 2025, Meta has invested over $14 billion to acquire a near-majority stake in Scale AI. Scale’s infrastructure is now being used to train Meta’s next-generation “Mango” (video) and “Avocado” (text) models, with Scale’s founder Alexandr Wang overseeing the project.
What is RLHF and does Scale AI do it?
RLHF stands for Reinforcement Learning from Human Feedback. It is a technique where humans rank AI responses to teach the model what is “good” or “bad.” Scale AI is a leading provider of this service, which is essential for making chatbots like ChatGPT or Llama helpful and safe.