Snowflake Cortex AI
Snowflake Cortex AI is a fully managed, serverless platform that enables organizations to analyze unstructured data and build generative AI applications within the Snowflake ecosystem. It offers access to industry-leading large language models (LLMs) such as Meta's Llama 3 and 4, Mistral, and Reka-Core, facilitating tasks like text summarization, sentiment analysis, translation, and question answering. Cortex AI supports Retrieval-Augmented Generation (RAG) and text-to-SQL functionalities, allowing users to query structured and unstructured data seamlessly. Key features include Cortex Analyst, which enables business users to interact with data using natural language; Cortex Search, a hybrid vector and keyword search engine for document retrieval; and Cortex Fine-Tuning, which allows customization of LLMs for specific use cases.
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Lumi AI
Lumi AI is an enterprise analytics platform that enables users to explore data and extract custom insights through natural language queries, eliminating the need for SQL or Python expertise. It offers self-service analytics, conversational analytics, customizable visualizations, knowledge management, seamless integrations, and robust security features. Lumi AI supports diverse teams, including data analysis, supply chain management, procurement, sales, merchandising, and financial planning, by providing actionable insights tailored to unique business terms and metrics. Its agentic workflows address simple to complex queries, uncover root causes, and facilitate complex analyses, all while interpreting business-specific language. Lumi AI integrates effortlessly with various data sources, ensuring enterprise-grade security by processing data within the client's network and offering advanced user permissions and query controls.
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Datus
Datus is an AI-assisted data engineering and analytics platform that builds a shared business context layer over an organization’s existing data stack. Its Datus Agent can inspect warehouse schemas, SQL, ETL code, and business documents to draft semantic models and connect business concepts, metrics, and source data. Teams review definitions and generated SQL, then use DOSI to validate compatible models and compile queries into native SQL for supported data sources. Datus provides a browser-based Studio, a local command-line agent, and REST, Python SDK, and MCP interfaces for analytics teams, data engineers, and AI agents. Common workflows include data discovery, semantic modeling, governed text-to-SQL, metric queries, SQL development, and production data engineering. It is designed to work with existing warehouses and model providers rather than require a data migration.
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Genloop
Genloop is an intelligence layer between your entire data estate and every human or AI agent that needs to reason about it — connecting live to Snowflake, BigQuery, and lakehouse sources, no ETL, no copies, reasoning across all of them in a single query.
Liveboards — free automated reports on live data, no setup
Proactive monitoring — agents watch metrics and surface findings before you ask
Living Context Graph — captures what data means, how the business investigates, and who's asking, so the same question gets the same verified answer every time
Decision Intelligence — tracks actions and outcomes post-answer, feeding back into the graph so future suggestions are grounded in what's actually worked
Compounding, not just answering — each layer sharpens the next; Genloop gets more accurate with use instead of resetting every session
#1 on Spider 2.0-Snow (96.70%) — the hardest public benchmark for enterprise text-to-SQL reasoning
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