Machine Learning Platform Reinvented for Real-Time
Manage the complete Production Machine Learning Lifecycle and Leverage Real-Time data.
Maintain and Enhance Machine Learning with Continuous Fresh Data Updates.
Iterate Faster by Experimenting directly on Live Data.
Used by leading brands and companies across the globe 🌍
Revolutionize your Machine Learning Workflow
Explore our essential tools for seamless website planning and design.
Elevate your workflow with intuitive features and powerful capabilities for your next project.
Real-Time Predictions
Streamline your design process with our wireframing tool. Create clear and precise layouts, bringing your ideas to life seamlessly.
Real-Time Features
Streamline your design process with our wireframing tool. Create clear and precise layouts, bringing your ideas to life seamlessly.
Real-Time Learning
Streamline your design process with our wireframing tool. Create clear and precise layouts, bringing your ideas to life seamlessly.
TurboML at Glance
Explore our essential tools for seamless website planning and design.
Elevate your workflow with intuitive features and powerful capabilities for your next project.
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.
Why do you need TurboML?
To optimize your
Explore our essential tools for seamless website planning and design.
Elevate your workflow with intuitive features and powerful capabilities for your next project.
Costs
Make ML fast enough to increasingly shift towards on-demand compute, thereby reducing redundancies.
Revenue
Keeping your models fresh directly correlates with improvements in your business use cases.
ROI
Modern ML is data-driven. If you’re not able to leverage real-time data in your ML pipelines, you’re not making the most out of your data.
Metrics
Tech giants like Google and Meta have emphasized, time and again, the importance of mitigating
Productivity
Move from ideation to results in seconds. Define and Compare new models and features immediately.
UX
Continuous evaluation to safely experiment with multiple models on live data in shadow mode.
