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Brief

Snowflake Cortex AI

Data Infrastructure & AI

Run LLM inference, semantic search, and AI analytics directly on your data inside Snowflake—no data movement, no governance risk, no separate AI infrastructure to manage.

Last updated May 11, 2026 by the ATDb Editorial Team

Founded
2012
HQ
San Mateo, California, United States
Parent
Connections
13

At a glance

Employees
5001-10000
Funding
$3.4B+
Revenue
$3B+ ARR (Snowflake parent FY2025)
Stock
SNOW
12integrations1corporate family

About

Leading cloud data platform provider offering embedded AI/ML capabilities as a differentiated layer within its data warehouse, competing with hyperscalers and specialized AI platforms

Snowflake Cortex AI is the artificial intelligence and machine learning platform embedded within Snowflake's cloud data platform. It enables organizations to run LLM-powered inference, semantic search, and AI-driven analytics directly on their data without moving it outside the warehouse. Key capabilities include Cortex AI (LLM functions for summarization, classification, translation, and generation), Cortex Analyst (natural language to SQL for business intelligence), and Cortex Search (semantic and hybrid search over enterprise data). In the AdTech ecosystem, Snowflake Cortex AI is significant because it allows advertisers, publishers, and data platforms to apply AI to audience segmentation, campaign performance analysis, creative optimization, and customer intelligence workflows—all within the governed, secure environment of Snowflake. This eliminates the latency and compliance risk of exporting sensitive data to external AI services. Marketers and data teams can query petabyte-scale ad data using natural language and get AI-generated insights in real time. Snowflake Cortex AI competes with similar in-warehouse AI offerings from Google BigQuery ML, Databricks, and Amazon Redshift ML, as well as external AI platforms like OpenAI and Anthropic that require data egress. Its primary competitive advantage is the combination of data residency, governance, and AI inference in a single platform, making it particularly attractive to enterprises with strict data privacy requirements—a growing concern in AdTech given GDPR, CCPA, and signal loss from cookie deprecation.

Business model

SaaS / Usage-based

Target market

Enterprise

What they offer

  • Cortex AI

    LLM functions (COMPLETE, SUMMARIZE, CLASSIFY, TRANSLATE, SENTIMENT, EXTRACT_ANSWER) callable via SQL on data stored in Snowflake

  • Cortex Analyst

    Natural language to SQL interface allowing business users to query data warehouses conversationally without writing code

  • Cortex Search

    Semantic and hybrid (vector + keyword) search service built on top of Snowflake tables for enterprise data retrieval

  • Cortex Fine-tuning

    Ability to fine-tune supported LLMs on proprietary data stored within Snowflake for domain-specific AI applications

  • Arctic LLM

    Snowflake's own open-source enterprise-focused large language model optimized for SQL generation and data tasks

  • ML Functions

    Automated machine learning functions for forecasting, anomaly detection, and classification without requiring data science expertise

Key features

In-warehouse LLM inference with no data egressNatural language to SQL via Cortex AnalystSemantic and hybrid search over enterprise dataSupport for multiple LLMs including Mistral, Llama, Reka, and Snowflake ArcticSQL-native AI function callsAutomated ML for forecasting and anomaly detectionFine-tuning of LLMs on proprietary Snowflake dataRole-based access control and data governance on AI outputsStreamlit-in-Snowflake for AI app developmentVector embeddings stored and queried natively

Use cases

AI-powered audience segmentation and enrichment on first-party dataNatural language querying of campaign performance dataAutomated creative performance summarization and reportingSemantic search over ad inventory and content catalogsCustomer sentiment analysis on survey and review dataAnomaly detection in ad spend and conversion metricsLLM-based classification of user intent signalsClean room AI analytics without exposing raw PIIAutomated forecasting of media spend and ROIChatbot and copilot development for internal marketing analytics tools

Customer segments

Enterprise advertisers and brandsAd agencies and holding companiesPublishers and media companiesAdTech platforms and DSPs/SSPsData clean room operatorsRetail media networksFinancial services firms with marketing analytics needsHealthcare and pharma marketers

Tech & specs

Technology stack

Snowflake cloud data platformVector embeddings (native support)Mistral AI modelsMeta Llama modelsReka modelsSnowflake Arctic LLMStreamlit (in-Snowflake app framework)Python UDFs and SnowparkREST API and SQL interfaceAWS, Azure, GCP (multi-cloud)

Security & compliance

SOC 2 Type IIISO 27001GDPRCCPAHIPAAFedRAMP (Snowflake platform)PCI DSS

Deployment

Cloud

API

Yes

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