The fastest way to deliver models as a microservice
You shouldn’t need to rely on engineering to get your models to value. Connect your model to data stores and services, add business logic, and deliver it as an API endpoint within minutes.
Trusted by top data science and machine learning teams
From monolith to engineering best practices
Ditch your monolithic notebook. Baseten’s Worklets are the fastest way to build reliable, scalable APIs for your ML models. Chain together custom Python tasks and built-in integrations to construct powerful APIs.
Code
Write custom Python code before and after your model for tasks like preprocessing and postprocessing.
Model
Invoke your model using inputs from previous tasks. Pass outputs on to serve predictions as you see fit.
Query
Run custom SQL queries on your own databases or with our provided Postgres data tables.
Decision
Split your workflow based on conditional logic you define.
Worklet
Chain Worklets together to power complex workflows.
Slack
Share predictions and other outputs directly to Slack.
"Baseten gets the process of tool-building out of the way, so we can focus on our key skills: modeling, measurement, and problem solving."
Nikhil Harithas
Senior Machine Learning Engineer at Patreon
"Baseten provides us with all of the speed and control of self-serving our model deployment without any of the annoying config, infra, and health checks."
Daniel Whitenack
Data Scientist at SIL
“Baseten provides an easy way for us to host our models, iterate on them, and experiment without worrying about any of the DevOps involved.”
Faaz Ul Haq
Head of Data Science at Pipe
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"Baseten allows us to take any need that we have and build a custom SaaS solution for that very specific use case—it’s amazing.”
Ryan Delk
CEO at Primer
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