Why do you need TurboML to optimize your
Make ML fast enough to increasingly shift towards on-demand compute, thereby reducing redundancies.
Optimize costs by processing only new incoming data, thus eliminating the need to repeatedly crunch through previously processed information.
Case studies from Grubhub and Etsy show direct cost savings of up to 45 times!
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TurboML at a Glance!
Complete ML platform
From data ingestion to post-deployment, manage all your ML needs in one place.
Built for real-time
Accelerate experimentation with real-time data and continuous model updates.
Meets you where you are
Works with your existing stack using open protocols and familiar tools.
Easy to use
Start immediately with no learning curve—familiar Python and Jupyter interface.
Deployment tailored for you
Deploy anywhere: fully private VPC, on-prem, or hybrid with flexible infrastructure.
Programmable all the way
Leverage custom Python scripting and streaming APIs for complete innovation.
