The Snowflake Native MLOps Platform

Everything you need to train, serve, and monitor your ML models in your Snowflake environment.
Schedule Demo
Powering Millions of Models Per Day
"We knew we wanted a more modern approach and were delighted when we learned how seamlessly Modelbit could operate within our existing Snowflake infrastructure and processes."
Eric Schrock   Chief Technology Officer
Read the Case Study
Deploy Your Custom ML Models to Snowflake
1. Deploy your custom model via Python API or Git Push
2. Manage your models in Modelbit's secure web application
3. Modelbit deploys your model to endpoints in Snowflake
So what can you do with Modelbit?

Full Suite of MLOps for ML Models in Snowflake

Modelbit brings A/B tests, shadow deployments, detailed logging and everything else you need to run your ML models in production - all within your Snowflake environment.

Deploy models to Snowflake. Manage them in Git.

Deploy as easily as  git push. Version control, dev and staging environments, CI/CD. All natively in Snowflake. All powered by your GitHub repo.

Fully Custom Python Runtime Environments

Modelbit lets your run your ML models in both your Snowflake and in the same environment they were trained on.

Run Training & Inference in your Snowflake Compute Environment

Modelbit let's you easily run any ML/AI model on Snowflake compute - from Snowpark to SPCS.
3,200,000+
Models Deployed
Hundreds of teams across every industry and vertical are using Modelbit to deploy and serve millions of ML models in their Snowflake environments.
Get a Demo
<1 second
Inference Latency
Whether you're running batches in the millions, or need to provide online inference, Modelbit lets you power your models with Snowflake.
Read the Docs
99.9999%
Uptime
Modelbit is powered by your Snowflake warehouse and your Git repo, so you can have full confidence that your models will always run on time.
View Status Page
© Modelbit. All rights reserved