What is Snowflake CoCo?
Snowflake CoCo is a powerful suite of native AI capabilities built directly into the Snowflake Data Cloud. Users can build, run, and operationalize AI and LLM-driven experiences directly on governed data.
CoCo simplifies architecture, reduces data movement, and accelerates time-to-value, all while maintaining enterprise-grade security and governance.
Benefits include:
- Governed AI at the Source: Keep data secure and compliant by eliminating the need for external pipelines.
- Accelerated Value: Use familiar tools like SQL and APIs to integrate AI into analytics and applications; no custom infrastructure is needed.
- Modern User Experiences: Enable natural-language analytics, intelligent search, and agentic workflows—all in one platform.
Everforth Apex is a Snowflake CoCo Preferred Partner Badge recipient. This recognition reflects our cumulative expertise in leveraging CoCo to streamline engineering, machine learning, and application development workflows.
Key Components
- CoCo Analyst: Natural-language interface that translates questions into SQL, runs queries on governed data, and returns answers or visualizations via API.
- CoCo Search: Hybrid search engine for fast, semantic retrieval across enterprise documents, which is ideal for RAG and intelligent search experiences.
- Snowflake Intelligence: Combines AISQL, Analyst, and Search into a unified experience where users can ask questions, generate charts, and take action, all within Snowflake’s secure environment.
- CoCo AISQL: A set of AI functions accessible via SQL across both text and images for tasks like classification, summarization, sentiment analysis, and entity extraction.
Real-World Impact
Snowflake CoCo ensures secure, role-aware AI execution within the platform, supports traceability through verified queries, and offers flexible deployment options across regions. Whether you're embedding AI into dashboards or building intelligent apps, CoCo makes it easier to get started and scale.
Financial Services: Portfolio and risk analysis via natural language; RAG on policies and procedures.
Healthcare & Life Sciences: Clinical Q&A and document extraction for faster claims processing.
Retail & CPG: Semantic product search and store ops analysis using NLP-to-SQL.
Manufacturing: Technician support via RAG on manuals; quality log summarization with AISQL or Analyst.
