Duckie vs Snowflake

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

Snowflake leads in AI visibility (82 vs 25)

Duckie

EmergingInfrastructure

IT Operations

SF YC W24 AI support agent builder at 80% resolution time reduction and 71% ticket deflection; $500K from a16z/Greylock/YC/Netflix competing with Intercom Fin for customer support AI workflow automation.

AI VisibilityBeta
Overall Score
D25
Category Rank
#18 of 68
AI Consensus
59%
Trend
stable
Per Platform
ChatGPT
33
Perplexity
19
Gemini
36

About

Duckie is a San Francisco-based AI customer support platform — backed by Y Combinator (W24) with $500,000 in funding from Y Combinator, Andreessen Horowitz, Greylock, KungHo Fund, Netflix, and 5 additional investors — providing customer support teams with an AI agent builder that translates existing support processes and workflows into predictable, reliable AI automation, achieving 80% reduction in resolution time and 71% ticket deflection for deployed teams. Founded in 2023 and targeting customer support leaders at growth-stage software companies, Duckie enables support teams to deploy AI agents in minutes without engineering dependency.

Full profile

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
A82
Category Rank
#1 of 1
AI Consensus
74%
Trend
up
Per Platform
ChatGPT
81
Perplexity
82
Gemini
82

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

25
Overall Score
82
#18
Category Rank
#1
59
AI Consensus
74
stable
Trend
up
33
ChatGPT
81
19
Perplexity
82
36
Gemini
82
31
Claude
86
34
Grok
74

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