From Code to Coordination Supercharge Every Team
Surecharge Every Team
Zerve workflows are built on top of our OS, taking advantage of in-built advancements.
Developer Experience
A purpose-built developer experience for Data & AI Teams, allowing them to focus on problem-solving through code instead of managing infrastructure. Teams get access to their full data stack, frameworks, and models.
Collaborative and Centralized
All your team working together in a single shared environment with code executed securely in your cloud. By centralizing all workflows, you gain full visibility and remove silos—all in sync with Git.
AI Assistant
Unlike generic code assistants built for software development, ours is designed for developing Data & AI solutions. It leverages the visual programming paradigm and functions as an extension of your team.
Unlock new capabilities and remove all the complexity
GenAI integration
Within your DAG, utilize open-source LLMs via HuggingFace or managed services like Bedrock or OpenAI to seamlessly build AI-based applications, harnessing the power of GenAI everywhere.
Deployments
With DevOps processes automated by Zerve OS, there is a clear, streamlined path to production for all of your Data & AI Products. Use workflows as the backend for scheduled jobs, host APIs, or deploy Apps and Agents.
The Fleet
The fastest and easiest way to use distributed compute distribute any workflow you’ve coded with a single line of code.
Solid foundations for AI
Create workflows that execute resiliently with consistent results. Avoid the brittleness of shared variable states and the lack of scale from being bound to a single process.
Create workflows that execute resiliently with consistent results. Avoid the brittleness of shared variable states and the lack of scale from being bound to a single process.
Create workflows that execute resiliently with consistent results. Avoid the brittleness of shared variable states and the lack of scale from being bound to a single process.
Made to be extensible
Integrate with existing tools and trigger events in Zerve from Airflow, GitHub Actions, or your products through Zerve’s full developer API.
Integrate with existing tools and trigger events in Zerve from Airflow, GitHub Actions, or your products through Zerve’s full developer API.
Integrate with existing tools and trigger events in Zerve from Airflow, GitHub Actions, or your products through Zerve’s full developer API.
Build, automate, and scale your Data & AI workflows effortlessly.
Create the DAG
- Parallelize workloads
- Seamlessly collaborate in real-time with branches and rollbacks for safety
- Integrate Python, R, SQL, Spark, GenAI, and Markdown Block types
Define Compute & Customize Environment
- Input Blocks: Capture user input dynamically.
- Output Blocks: Display processed results within the app.
Run the Workflow
- Inputs set variables.
- Buttons trigger workflows.
- Outputs display states and visualizations generated in workflows.
Inspect the State at Every Point
- Every block run produces metadata to inspect the inputs and outputs produced from every block.
- Enter Code and Variable View to view and preview each individual state at any point along the workflow.
- Download and reference the states created from the workflow from within other workflows or outside of Zerve.
Streamlined Path to Production
- Schedule workflows to run - track and get alerts on any failures, view logs and ensure resilient pipeline creation.
- Reference any artefacts already created for API deployments
- Use the workflows as a backend for Agent & Application Deployment.
Versioning & Asset Library
- Track app performance and iterate based on insights.
- Release new updates while maintaining stability.
Built for Enterprise
Built for Enterprise
Zerve’s platform provides the control and flexibility you need, whether you’re working with sensible data or managing large teams.
- Cost-effective deployment solutions.
- Role-Based Access Control (RBAC) for security.
- Flexible self-hosted and hybrid deployment models.
- Single Sign-On (SSO) for seamless authentication.
- Secure AI API deployment within your existing stack.
