Adept AI vs Scale AI

Side-by-side comparison of AI visibility scores, market position, and capabilities

Scale AI leads in AI visibility (90 vs 35)
Adept AI logo

Adept AI

EmergingAI Infra

AI Agents

Adept AI raised $415M to pioneer computer-use AI agents; its core research and agent team moved to Amazon in 2024 in a landmark talent acquisition while the company continues developing ACT-1 for enterprise automation.

AI VisibilityBeta
Overall Score
D35
Category Rank
#243 of 296
AI Consensus
84%
Trend
stable
Per Platform
ChatGPT
41
Perplexity
39
Gemini
38

About

Adept AI was founded in 2022 by a team of former OpenAI, DeepMind, and Google Brain researchers to build AI that can take actions on computers — navigating software interfaces, filling forms, and executing multi-step workflows in any application. Its ACT-1 model demonstrated the ability to control web browsers and desktop applications through natural language instructions, pioneering the computer-use agent paradigm that Anthropic later commercialized with Claude's computer use feature.

Full profile
Scale AI logo

Scale AI

ChallengerAI & Machine Learning

Data Platform

AI training data platform with $14B valuation; human-labeled datasets for OpenAI, Anthropic, and DOD plus LLM evaluation tools as critical AI infrastructure competing with Appen.

AI VisibilityBeta
Overall Score
A90
Category Rank
#17 of 296
AI Consensus
79%
Trend
stable
Per Platform
ChatGPT
93
Perplexity
85
Gemini
89

About

Scale AI is an AI data platform providing data labeling, data curation, and AI evaluation services that power the training and fine-tuning of AI models for major technology companies, autonomous vehicle developers, and government agencies. Founded in 2016 by Alexandr Wang and Lucy Guo in San Francisco, Scale AI has raised approximately $1.5 billion at a $14 billion valuation and generates substantial revenue from contracts with AI labs (OpenAI, Anthropic, Meta AI), government defense clients (US Department of Defense), and enterprise AI teams needing high-quality training data.\n\nScale AI's core service is human-in-the-loop data labeling — providing labeled datasets (annotated images, transcribed and labeled conversations, validated code outputs) that AI models need for training and evaluation. Scale's platform combines AI-assisted pre-labeling with human quality verification, reducing the cost of producing labeled data while maintaining accuracy standards. Scale Spellbook provides API-based LLM evaluation and comparison tools. Scale's Government division has grown significantly, providing AI evaluation and training data services to US defense and intelligence agencies.\n\nIn 2025, Scale AI is one of the most strategically positioned companies in the AI infrastructure stack — as AI labs compete to train frontier models, the quality and volume of training data has become a critical competitive variable. Scale's defense contracts have expanded significantly under the Biden and Trump administrations'AI strategy initiatives. Scale competes with Appen, Surge AI, and cloud provider-native labeling services for AI training data. The 2025 strategy focuses on expanding its government and defense business, launching Scale's Frontier Data for synthetic data generation to supplement human-labeled data, and growing its enterprise AI deployment services for Fortune 500 companies building production AI systems.

Full profile

AI Visibility Head-to-Head

35
Overall Score
90
#243
Category Rank
#17
84
AI Consensus
79
stable
Trend
stable
41
ChatGPT
93
39
Perplexity
85
38
Gemini
89
39
Claude
88
34
Grok
93

Key Details

Category
AI Agents
Data Platform
Tier
Emerging
Challenger
Entity Type
brand
brand

Capabilities & Ecosystem

Capabilities

Only Adept AI
AI Agents
Only Scale AI
Data Platform

Integrations

Only Scale AI

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