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Workbench Enterprise

The Workbench API and User Interfaces cover a broad set of AWS Machine Learning services and provide easy to use abstractions and visualizations of your AWS ML data. We offer a wide range of options to best fit your companies needs.

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Accelerate ML Pipeline development with an Enterprise License!
Free Enterprise: Lite Enterprise: Standard Enterprise: Pro
Python API 🟢 🟢 🟢 🟢
Workbench REPL 🟢 🟢 🟢 🟢
Dashboard 🟢 🟢 🟢 🟢
AWS Onboarding ➖ 🟢 🟢 🟢
Dashboard Plugins ➖ 🟢 🟢 🟢
Custom Pages ➖ ➖ 🟢 🟢
Themes ➖ ➖ 🟢 🟢
ML Pipelines ➖ ➖ ➖ 🟢
Project Branding ➖ ➖ ➖ 🟢
Prioritized Feature Requests ➖ ➖ ➖ 🟢
Pricing âž– $1500* $3000* $4000*

*USD per month, includes AWS setup, support, and training: Everything needed to accelerate your AWS ML Development team. Interested in Data Science/Engineering consulting? We have top notch Consultants with a depth and breadth of AWS ML/DS/Engineering expertise.

Try Workbench

We encourage new users to try out the free version, first. We offer support in our Discord channel and our Documentation has instructions for how to get started with Workbench. So try it out and when you're ready to accelerate your AWS ML Adventure with an Enterprise licence contact us at Workbench Sales

Data Engineering/Science Consulting

Alongside our Workbench Enterprise offerings, we provide comprehensive consulting services and domain expertise through our Partnerships. We specialize in AWS Machine Learning Systems and our extended team of Data Scientists and Engineers, have Masters and Ph.D. degrees in Computer Science, Chemistry, and Pharmacology. We also have a parntership with Nomic Networks to support our Network Security Clients.

Using AWS and Workbench, our experts are equipped to deliver tailored solutions that are focused on your project needs and deliverables. For more information please touch base and we'll set up a free initial consultation Workbench Consulting

Contact Us

Contact us on our Discord channel, we're happy to answer any questions that you might have about Workbench and accelerating your AWS ML Pipelines. You can also send us email at Workbench Info or Workbench Sales