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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Exmergo
Exmergo Viz is the Dashboard AI Agent that turns messy data into reliable dashboards in minutes, not weeks. Users can upload or connect datasets, explore them with AI, and generate interactive visualizations from one workspace. It supports structured files such as CSV and Excel, live data connectors, and a centralized Data Hub that lets teams reuse the same data across multiple dashboards and analyses with full traceability. Instead of writing SQL queries, Python scripts, or building charts manually, users ask questions in natural language, request rankings or comparisons, and let Exmergo’s AI analyze datasets in real time to deliver clear, contextual insights. Exmergo Viz creates rich interactive charts, analytical views, built-in analysis, and actionable insights that help teams uncover trends, compare metrics, and share findings faster.
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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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Avanzai
Avanzai helps accelerate your financial data analysis by letting you use natural language to output production-ready Python code. Avanzai speeds up financial data analysis for both beginners and experts using plain English. Plot times series data, equity index members, and even stock performance data using natural prompts. Skip the boring parts of financial analysis by leveraging AI to generate code with relevant Python packages already installed. Further edit the code if you wish, once you're ready copy and paste the code into your local environment and get straight to business. Leverage commonly used Python packages for quant analysis such as Pandas, Numpy, etc using plain English. Take financial analysis to the next level, quickly pull fundamental data and calculate the performance of nearly all US stocks. Enhance your investment decisions with accurate and up-to-date information. Avanzai empowers you to write the same Python code that quants use to analyze complex financial data.
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