Sold by: Zerve AI
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Zerve OS is a unified operating system that powers AI agents to automate coding, orchestration, and infrastructure end-to-end, enabling teams to collaboratively build and deploy AI products faster in a secure, centralized environment.
Overview
Zerve OS serves as the comprehensive foundation for modern AI development, providing a unified operating system that integrates AI agents directly into data workflows. The platform eliminates the complexity of fragmented toolchains by offering a developer-first environment where intelligent AI agents work alongside teams to automate coding, orchestration, and infrastructure management. Built with security at its core, Zerve OS runs entirely within your organization's environment while providing a collaborative visual canvas that unifies code, workflows, and automated orchestration. This eliminates DevOps overhead, removes manual glue code, and enables rapid deployment of scalable AI solutions without infrastructure rebuilds or bottlenecks.
Highlights
- AI-Powered Automation Context-aware AI agents that understand your workflows and proactively assist with coding, orchestration, debugging, optimization, and deployment, dramatically boosting productivity across the entire AI lifecycle.
- Unified Development Environment All-in-one platform combining development, orchestration, and deployment in a secure, scalable environment with real-time collaboration in Python, SQL, and R, plus built-in versioning and access control.
- Enterprise-Ready Infrastructure Secure, centralized deployment that runs in your own environment with built-in governance, performance tracking, and cost monitoring, eliminating infrastructure management overhead while ensuring compliance.
Details
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Free trial
Try this product free according to the free trial terms set by the vendor.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/month |
|---|---|---|
Zerve AI Data Science Development Environment | - | $1.00 |
Vendor refund policy
There are no refunds offered.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
Please reach out to sales@zerve.ai with any questions or for options on contract or pricing terms.
Technical Support: For help setting up your account, technical queries or exploring the platform please reach out to support@zerve.ai
For additional training:
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Customer reviews
Bobby N.
Great team and great product
Reviewed on Apr 02, 2024
Review provided by G2
What do you like best about the product?
It is an innovative approach to Data Science collaboration that the industry desperately needs.
What do you dislike about the product?
Not yet on Azure, which is our tech stack.
What problems is the product solving and how is that benefiting you?
Data Science collaboration and deployment
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