Claypot AI
The Real-time Machine Learning Platform.
Overview
Claypot AI is a real-time machine learning platform that helps organizations to build and deploy ML models for time-sensitive use cases. It includes a feature store that is designed for low-latency serving, as well as tools for real-time data processing, model deployment, and monitoring. Claypot is built on top of open-source technologies like Apache Flink and provides a scalable and flexible platform for real-time AI.
✨ Key Features
- Real-time feature store
- Stream processing with Apache Flink
- Low-latency model serving
- Real-time monitoring and alerting
- Cloud-native and scalable
🎯 Key Differentiators
- Built on Apache Flink for powerful stream processing
- End-to-end platform for real-time ML
- Focus on developer productivity
Unique Value: Provides a powerful and scalable platform for building and deploying real-time machine learning applications, leveraging the stream processing capabilities of Apache Flink.
🎯 Use Cases (3)
✅ Best For
- NA
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Batch-only ML workflows
🏆 Alternatives
Offers a more integrated and end-to-end solution for real-time ML compared to using standalone stream processing frameworks. Its focus on developer productivity helps to accelerate the development of real-time AI applications.
💻 Platforms
🔌 Integrations
🛟 Support Options
- ✓ Email Support
- ✓ Live Chat
- ✓ Dedicated Support (Enterprise tier)
💰 Pricing
✓ 14-day free trial
Free tier: NA
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