Radicalbit is an MLOps platform that helps deploy, serve, observe, and explain AI models, offering faster time-to-value, cost reduction, scalability and sustainability, and control and governance. It enables data teams to maintain control over the data lifecycle with real-time data exploration, outlier & drift detection, and model monitoring in production. Radicalbit seamlessly integrates with ML stacks, whether SaaS or on-prem, and allows running AI applications in minutes.
Features
- Deploying and serving AI models at scale
- Real-time data exploration, outlier & drift detection, and model monitoring
- Integration with ML stacks (SaaS or on-prem)
- Automations, metric monitoring, and resource management
- Advanced monitoring, observability, and explainability for compliance with regulations
Use Cases
- Deploying and serving AI models
- Monitoring and observing AI models in production
- Ensuring compliance and governance in AI applications
Suited For
- Data teams
- AI model developers
- Organizations deploying and managing AI applications