Build AI that is
Continual. Adaptive. Personalized.
Why AI needs to be
Due to the broad context of their usage, AI models typically have more failure modes compared to traditional ML deployments, and require constant interventions.
System prompt iteration is needed to prevent unintended behaviour, continual instruction tuning to improve performance on specific tasks or learn new tasks or tool usage, and continual alignment to maintain and reflect human values and preferences.
— Continual —
TurboML at a Glance!
Complete AI platform
From data ingestion to post-deployment, manage all your AI 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.
Our Cloud Partners
Google Cloud
Amazon Web Services
Microsoft Azure
