Scale your enterprise automation
Through the AWS Marketplace, users around the world can easily find, buy, and deploy partner solutions they can trust, all certified and optimized to run on AWS. The availability of UiPath on the AWS Marketplace makes it easier for established AWS customers to find, test, purchase, and use the UiPath Platform™.
Contact Sales for a UiPath Private Offer on AWS Marketplace.
Integrate the UiPath end-to-end RPA platform with Amazon Web Services’ (AWS) enterprise-ready cloud infrastructure, AI services, and cloud contact center solution.
UiPath is an AWS Advanced Technology Partner in the AWS Partner Network.
Quickly deploy UiPath on AWS with our pre-built configs. Spin up development, test, and production environments.
UiPath integration with Amazon Connect enables a zero-touch customer experience, so you can reduce call volume and free up agents to work on complex customer issues.
Quickly scale automations to adjust to spikes in call volume
Seamlessly hand off self-service requests to agents
Integrate with any application, including legacy systems
Extend Amazon AI services to your existing contact center systems
Drag and drop AWS AI Services directly into your automations through pre-built integrations—like Textract (document data and text extraction) and Rekognition (facial recognition)—to solve more business challenges.
How many processes do your IT teams already run with AWS? Automate these with help from our library of pre-built AWS activities.
Amazon SageMaker is a fully managed service from Amazon Web Services (AWS) to prepare data and build, train, and deploy ML models for any use case with fully managed infrastructure, tools, and workflows.
By connecting Amazon SageMaker to UiPath, users can:
Rapidly deploy new ML models into production
Optimize the productivity of data science teams
Increase the speed of ML innovation
White paper
Find out how UiPath and Amazon Connect can help you deliver better experiences for both customers and agents
Press Release
The UiPath Platform capability allows data science teams to reduce cost, time, and effort of deploying machine learning models into business processes.
Documentation
AWS SageMaker is a fully managed machine learning service that enables data scientists and developers to build and train machine learning models and deploy them to a hosted environment. This activity pack is designed to work together with Integration Service.
White paper