Build, Train and Deploy
Machine Learning Models

With Modern Tools Designed for Power and Speed

Build Your Custom ML Models in Hex

Hex is a powerful development environment for prototyping and developing ML models. With direct SQL access to your data warehouse, built-in collaboration, and an app builder, the data science feedback loop has never been tighter.

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One line of code

Deploying your model is as simple as calling mb.deploy right from your notebook. No need for special frameworks or code rewrites.

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Deploy into Warehouse

Models are deployed directly into your data warehouse, where making a model inference is as easy as calling a SQL function!

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From Python to REST

Modelbit models become REST APIs in the cloud. Your team can call them from websites, mobile apps, and IT applications.

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Backed by git

Modelbit is backed by your git repo, where data is secure and version controlled, and CI/CD runs when changes are deployed.

Sample data rows and results metadata from a Modelbit dataset
Snowflake code calling a Modelbit model

Train Your Models with On-Demand GPUs

With Hex and Modelbit's seamless integration, you'll have access to powerful on-demand GPUs where you can choose the right box size for the job. Train your custom models without worrying about managing complex infrastructure.

Deploy Your ML Models to Production In Minutes

When you call modelbit.deploy() in a Hex notebook, Modelbit will deploy your ML model, along with all of its dependencies, to its own container with a REST Endpoint.

Python icon

One line of code

Deploying your model is as simple as calling mb.deploy right from your notebook. No need for special frameworks or code rewrites.

Data warehouse icon

Deploy into Warehouse

Models are deployed directly into your data warehouse, where making a model inference is as easy as calling a SQL function!

Code icon

From Python to REST

Modelbit models become REST APIs in the cloud. Your team can call them from websites, mobile apps, and IT applications.

Lock icon

Backed by git

Modelbit is backed by your git repo, where data is secure and version controlled, and CI/CD runs when changes are deployed.

Sample data rows and results metadata from a Modelbit dataset
Snowflake code calling a Modelbit model

Logging, Monitoring and Observability

Modelbit will send logs data generated by the models you deploy back to Hex, where you can create data apps to visualize and monitor your models as they are used in production.

Ready To See How Hex and Modelbit Work Together?

Book a demo