Alchemite™ Engine
Alchemite™ Engine provides power and flexibility for data scientists via an API interface. Run Alchemite™ deep learning algorithms to get value from sparse and noisy real-world data. Integrate these methods with your processes, workflows, and software. Fine-tune models using advanced configuration options, then deploy them to end-users across your enterprise.
Alchemite™ Engine can be deployed on-site or in the cloud and enables integration in the following ways:
Expert access
and sharing
Easy deployment
options
System
integration
Partner
deployment
Key Features
Expert access and sharing
Our OpenAPI standard interface is well documented and follows best practices, allowing data scientists and experts to interact with it directly. We provide client libraries so it is quick and easy for data scientists to get up and running and interact with the more complex features of model building and analysis. Once models have been created they can be hosted and shared via the engine enabling a seamless way for data scientists and end-users to collaborate.
Learn more about our API documentation here.
Easy deployment options
The engine trains models on data sets of any size, managing all necessary computational resources to build the optimal model. The resulting models, data, and analytics are accessed through standard programmatic interfaces. It can be deployed directly on-site or via standard cloud providers, including Google, AWS, and Azure.
System integration
The standard API enables quick and easy integration with existing software tools and business processes. It provides all the back-end functionality for Alchemite™ Analytics. Other sample applications include data validation, where large data sets are validated in real-time, high throughput applications, where computational processes are fully automated, and dynamic predictions.
