Kumo Free Trial

[Kumo](http://www.kumo.ai/) is a Snowflake Native app which helps data scientists and machine learning engineers build highly accurate predictive models by using a simple SQL like language - all entirely within Snowflake. Named Forbes AI 50 in 2024, Kumo's predictive AI learns across multiple Snowflake tables, combining graph learning over structured data and generative AI models trained over unstructured data to build state-of-the-art predictive models in hours - not months. The out of the box machine learning models can be tuned for maximum performance to deliver predictions or embeddings. <br/><br/>Use Kumo's low code interface to simplify ML Ops, combine Graph Learning and LLMs to build accurate predictions of relevant products, actions and offers for each customer and drive improvements to KPIs like conversion engagement and retention.

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**Free trial**

This listing provides a free trial of Kumo, which lasts only for 30 days. If you wish to use Kumo beyond the trial period, contact us at [[e-mail]](mailto:[e-mail]).

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## Product Highlights

- Graph transformers eliminate feature engineering and create predictive AI models from your Snowflake data
- Open-source and commercial LLMs like Cortex unlock unstructured data for even better predictions
- Graph neural networks and LLMs bring deep learning inside Snowflake to better use tabular, relational data for predictive AI
- Kumo’s AI learns directly on multiple Snowflake tables, and writes back predictions as new Snowflake tables
- Automatically retrain models based on the latest data and serve predictions directly from Snowflake tables in production

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**Build predictive AI with all Snowflake data**

- Automatically represent your Snowflake data as a richly labeled Kumo graph stored in Snowflake
- Kumo uses AI and LLMs to learn from the graph to produce accurate predictions
- Code and Snowflake workloads like ETL and EDA can be reused in Kumo

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**Improve predictive model performance and prediction accuracy**

- A single Kumo graph supports many predictive models and use cases without redesign
- Complex predictive tasks models can be built in fewer than 20 lines of code
- Model architecture and other learning parameters can be tuned by autoML or adjusted manually

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**Go from predictions to production**

- Embeddings and predictions are stored as new Snowflake tables
- Models can be automatically retrained and predictions refreshed at your desired interval
- Add predictions and embeddings to existing ML pipelines and dataflows

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**Kumo’s Native App in Snowflake Marketplace:**

- Authenticate using Snowflake Single Sign-On
- Data never leaves leaves the customer's Snowflake environment 
- Data and artifacts generated by Kumo are stored in the customer’s Snowflake environment and inherit Snowflake retention policies
- Kumo inherits all Snowflake security and governance capabilities 
- Seamlessly integrate with existing Snowflake workflows and policies
- Use Snowflake credits to pay for Kumo

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**Explainable AI**

- Kumo provides detailed model evaluation, model explainability, MLOps and other capabilities needed for building trust and monitoring models in production 
- Get detailed explanations, generated through backpropagation of gradients, all the way down to the raw data 
- Better understand: column effect for everything prediction, exactly how different inputs contributed to a specific prediction, and relevant trends hidden in raw input data

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## Resources

Kumo website: [www.kumo.ai](http://www.kumo.ai)

Kumo documentation: [https://kumo.ai/docs/](https://kumo.ai/docs/)

Instructions to install the native app can be found [here](https://docs.kumo.ai/docs/installing-kumo-on-spcs#2-install-kumo-from-the-snowflake-marketplace).

Kumo SDK Quick start notebook can be found [here](https://colab.research.google.com/drive/1JfPgDaTvIW_lhb_4DgGnz0zwJtxUBLgJ#scrollTo=W-n0iO0lxYwd).