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Scale AI

Paid🇺🇸DecacornModerate Burn

The Data Infrastructure for the World's Most Advanced AI

94

Overall score

51

Heat score

Pricing

Data Engine (Pay-as-you-go)Custom
Scale GenAI PlatformCustom
Scale DonovanCustom

Technical Specs

Inputs

Image, Video, Text, Audio, Sensor Data, Lidar, URL

Outputs

Labeled Datasets, RLHF Feedback, Model Evaluation Reports, Fine-tuned Models

AI Type

Generative AI

Model Architecture

Custom/Proprietary

Daily Prompts

N/A

Context Length

N/A

Output Quality

Accuracy

98%

Content

95%

Reasoning

96%

Company Profile

Company

Scale AI, Inc.

Founded

2016

HQ

San Francisco, CA, USA

Employees

850

Total Raised / Total Funding

$1.6B

Revenue

$1B

Valuation

$13.8B

ARR

$1B

CEO

Alexandr Wang

Overview

Estimated Paid Users

5K

Current estimate

Total Earnings Till Date

$2.4B

+4.90% from last month

Market Share

18.5%

Current share

Average Session

N/A

Per active user

Hallucination Rate

5%

Model quality signal

Growth Rate

+3.56%

Monthly active users

Burn Rate

$25M

Total expenses / years active

Paid User Gain

+70.00%

Monthly paid user trend

No demo video available yet.

Platforms

AD

Profit Analysis

-$6B

Total Loss

$13.8B

Total Profit

$0

Performance Metrics

Accuracy

98%

Context

95%

Reasoning

96%

Safety

94%

Benchmarks

MMLU

85%

GSM8K

92.5%

Scale AI Models

Scale GenAI Platform

Type: Other

Description: The flagship environment for RLHF and model fine-tuning.

Architecture: Custom/Proprietary

Scale Donovan

Type: Other

Description: Decision support system for government and defense.

Architecture: Custom/Proprietary

Funding Rounds & Investors

Total Funding

$1.6B

Rounds

7

Series D+

$1B

May 2024

Series F; valuation at $13.8B.

Series D+

$325M

Apr 2021

Valuation at $7.3B.

Series D+

$155M

Dec 2020

Valuation at $3.5B.

Founders/Team

AW

Alexandr Wang

Founder & CEO

LG

Lucy Guo

Co-founder

Direct competitors

No direct competitors available.

Change Log / Major Updates

2022 · Dec 10

Launch of specialized services for aligning Large Language Models post-ChatGPT.

2023 · May 15

Introduction of the federal-grade AI decision platform.

2024 · Mar 20

Introduction of professionalized model evaluation and benchmarking.

Compliance, Integrations & Support

Industry: Not specified

Compliances: Not specified

Integrations: OpenAI, Meta, Microsoft Azure, AWS, Google Cloud, NVIDIA

Support:email, help center, dedicated account manager, enterprise support

Target audience: AI Researchers, Machine Learning Engineers, Data Scientists, Fortune 500 Enterprises, Government Agencies

Supported languages: English, Spanish, French, German, Chinese, Japanese, Korean, Arabic

Scale AI Acquisitions

SI

SiaSearch

September 7, 2021

N/A

HE

Helia

November 19, 2020

N/A

AD

Reviews & Rating

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Accuracy

0.0

Ease of Use

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Output Quality

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Security

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More About Scale AI

The Industrial Revolution of AI Data

Scale AI has established itself as the indispensable plumbing of the generative AI era. Founded in 2016 by Alexandr Wang and Lucy Guo, the company began with a simple but profound observation: the bottleneck to artificial intelligence wasn't just algorithms, but the availability of high-quality, human-labeled data. By combining a global workforce of over 240,000 specialists with sophisticated machine learning pipelines, Scale provides the ground truth data necessary for everything from autonomous driving to the world's most advanced large language models.

As the industry shifted from basic computer vision to complex generative architectures, Scale evolved into a full-stack platform. Today, they are the primary partner for Reinforcement Learning from Human Feedback (RLHF), a critical process that aligns models like GPT-4 and Llama 3 with human values and safety constraints. Their expansion into the federal sector with Scale Donovan further cements their role as a critical infrastructure provider for national security and enterprise intelligence.

  • Scale Data Engine: End-to-end data management and high-quality labeling for CV and NLP.
  • Generative AI Platform: Specialized RLHF and model evaluation services to accelerate LLM development.
  • Scale Donovan: An AI-powered decision-making platform designed for the unique security needs of the public sector.
  • SEAL Leaderboards: Rigorous, independent benchmarks for evaluating the actual performance of private and open-source models.

Scale AI FAQ's

What does Scale AI actually do?

Scale AI provides the high-quality data and human feedback (RLHF) required to train and evaluate AI models.

Who are Scale AI's main customers?

Major AI labs like OpenAI, Anthropic, and Meta, as well as enterprises and government agencies.

Is Scale AI profitable?

Scale AI has significant revenue but continues to invest heavily in R&D and workforce management, maintaining a scaling loss status common for hyper-growth firms.

What is Scale Donovan?

Donovan is Scale's specific LLM-powered platform for the US military and government sectors.

Does Scale offer self-serve labeling?

Yes, through their Data Engine, companies can upload datasets for pay-as-you-go annotation services.