Adept AI vs Snowflake

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

Snowflake leads in AI visibility (93 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
Snowflake logo

Snowflake

LeaderAI & Machine Learning

Data & Analytics Platform

Cortex AI platform for enterprise LLM deployment within the data cloud; $900M+ ARR from AI/ML workloads. AI Data Cloud serves 10,000+ enterprise customers. Cortex Analyst, Cortex Search enable natural-language querying of enterprise data.

AI VisibilityBeta
Overall Score
A93
Category Rank
#12 of 296
AI Consensus
71%
Trend
stable
Per Platform
ChatGPT
89
Perplexity
88
Gemini
97

About

Snowflake was founded in 2012 by data warehousing veterans from Oracle with the mission of building a data platform designed from scratch for the cloud — one that separated compute from storage to enable elastic scaling, multi-cloud portability, and a consumption-based pricing model that aligned cost with actual use. The company identified that legacy data warehouses required customers to over-provision hardware for peak demand, creating enormous waste, and that the emerging cloud infrastructure layer made a fundamentally different architectural approach possible. Snowflake's core technology, the Data Cloud, provides a single platform for data warehousing, data lakes, data engineering, data science, and data sharing across AWS, Azure, and Google Cloud.\n\nSnowflake's platform has expanded beyond structured analytics into an AI and machine learning infrastructure layer through Cortex AI — a suite of capabilities that allows enterprises to build, deploy, and serve LLM-powered applications directly on their Snowflake data without moving data to external AI platforms. Cortex AI includes LLM fine-tuning, vector search, and inference APIs that integrate with leading foundation models, enabling enterprises to build RAG applications and AI agents on top of their governed Snowflake data. Snowflake serves more than 10,000 enterprise customers globally, including the majority of the Fortune 500, across industries from financial services and healthcare to retail and media.\n\nSnowflake's AI and ML workloads generate over $900 million in annualized revenue, one of the fastest-growing segments of its business. The company trades on NYSE as SNOW and competes with Databricks, Google BigQuery, and Amazon Redshift. Its enterprise penetration, multi-cloud neutrality, and the Cortex AI platform position Snowflake as a foundational layer for enterprise AI deployment where data governance and security are non-negotiable.

Full profile

AI Visibility Head-to-Head

35
Overall Score
93
#243
Category Rank
#12
84
AI Consensus
71
stable
Trend
stable
41
ChatGPT
89
39
Perplexity
88
38
Gemini
97
39
Claude
90
34
Grok
98

Key Details

Category
AI Agents
Data & Analytics Platform
Tier
Emerging
Leader
Entity Type
brand
company

Capabilities & Ecosystem

Capabilities

Only Adept AI
AI Agents
Only Snowflake
Data & Analytics Platform
Snowflake is classified as company.

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