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  • Products
    • Alchemite™ Analytics
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    • Alchemite™ Success
    • Ichnite™
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  • Applications
    • Materials & Chemicals
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    • Manufacturing Industries
    • Data Science
    • Academic Research
    • All Featured Applications
  • Events
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    • All Upcoming Events
  • Resources
    • White Papers
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  • About
    • About Intellegens
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Alchemite™ Engine

Power and flexibility for data scientists

Integrate the Alchemite™ deep learning technology into your workflows. Enable advanced configuration and enterprise deployment.

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The benefits of Alchemite™

Alchemite™ Engine provides advanced API-based access to the Alchemite™ computational engine. These algorithms enable you to:

  • Enrich and understand sparse and noisy data
  • Do fewer experiments, with better results
  • Design and optimise products and process parameters
  • Enable effective collaboration using machine learning

For more on these  general benefits of using Alchemite™, see the product page on Alchemite™ Analytics, our user interface for desktop access. Below, you’ll find more information on how Alchemite™ Engine enables you to configure and fine-tune the application of Alchemite™ algorithms, to integrate them with your workflows, and to deploy your models and data across your organisation.

Alchemite Analytics analysis of data

Control, integrate, deploy with Alchemite™ Engine

Fine-tune your use of Alchemite™

Alchemite™ Engine provides an OpenAPI standard interface allowing data scientists and other expert users to interact directly with the underlying system. Client libraries make it quick and easy to interact with the more complex features of model building and analysis. So you can fine-tune Alchemite™, with access to the full set of parameters and settings, tailoring its application more precisely for your data and usage.

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Integrate with your tools and workflows

The standard API enables quick and easy integration with your existing software tools, scripts, and business processes. By taking advantage of Alchemite™, you can enable these processes to handle sparse and noisy datasets that were previously intractable. Examples of workflows that Alchemite™ could enable include data validation, where large data sets are validated in real-time, high throughput applications, where computational processes are fully automated, and dynamic predictions.

Deploy machine learning across your organisation

The Alchemite™ system can be deployed directly on-site or via standard cloud providers, including Google, AWS, and Azure, enabling you to take maximum advantage of the computational resources available in your organisation, and beyond. And models that have been configured specifically for your organisation by your data science experts using Alchemite™ Engine can then be made available for use by end-users via the Alchemite™ Analytics web browser user interface. You can ensure consistency in the application of machine learning methods and increase the impact of data science work across your business.

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Work with us

The Alchemite™ Engine API is well documented and follows best practices, enabling data science experts to quickly get up-to-speed and make Alchemite™ a valuable part of their machine learning and data analysis toolset. Our Alchemite™ Success team can provide guidance and support, if required.  Alternatively, for organisations where data science resource is limited or deployed on other projects, our Intellegens experts can both manage and implement a project to apply Alchemite™ Engine to your data and problems.

More on Alchemite™ Success

Alchemite™ case studies

Yili food formulation case study

Developing food formulations at Yili

February 1, 2023
Materials
Optibrium and AstraZeneca - drug discovery | Successfully predicts pharmacokinetics

Predicting pharmacokinetics with Optibrium and AstraZeneca

April 11, 2022
Drug Discovery
Small Molecule
OCAS – steels | Insights from process and microstructure data

Understanding and improving steel performance with OCAS

April 5, 2022
Materials

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