Rivet vs. Stack AI

Rivet and Stack AI are two platforms designed to streamline AI development, but they take different approaches. Rivet offers a no-code environment for building AI workflows, making it ideal for teams looking to simplify application development. Stack AI, on the other hand, focuses on integrating AI into business processes, enabling automation and workflow optimization. While both platforms provide valuable features, they also come with limitations that may require additional integrations to fully meet the needs of AI teams.

For those seeking a more robust and scalable solution, another option is worth considering. Sandgarden offers a more comprehensive AI development environment, combining the strengths of both Rivet and Stack AI while addressing their limitations. This comparison will break down how Rivet and Stack AI compare while also highlighting an alternative that provides greater flexibility and efficiency.

Rivet’s AI workflow builder compared with Stack AI’s AI-driven business process automation.

Feature Comparison

Prompt Management

LLM Evaluation

Version Control

Analytics

Tracing

Metrics

Logging

API First

Self-Hosted

On-Prem Deployment

Dedicated Infrastructure

Access Control

SSO

Data Encryption

Rivet

With Rivet developers can design, debug, and collaborate on LLM prompt graphs, and deploy them in their own environment. The tool’s graph-based approach helps teams quickly identify performance and reliability issues across a range of workflows.

As a prompt IDE, Rivet simplifies the iteration process and allows prompt engineers to work with software developers to build AI agents. Alongside this is Trivet, a testing library for programmatically running tests on Rivet projects, providing a way to validate the functionality of their graphs. In sum, Rivet helps businesses efficiently integrate performant and reliable AI powered workflows into their applications.

That said, Rivet is not without its drawbacks:

Limited ability to move workloads to production

Limited scalability for large-scale operations

Can be cumbersome with a fair amount of manual work needed

View more Rivet alternatives

Stack AI

Stack AI offers a UI that allows users to generate AI agents with simple drag-and-drop functionality. This lets technical and non-technical users alike deliver AI solutions for various business needs. The platform’s low-code approach democratizes AI development, facilitating its use across the organization.

Stack AI’s strength is its extensive library of pre-built templates based on common use cases. Whether it’s a chatbot, back office automation, or a basic RAG tool, AI based solutions are just clicks away. The platform is augmented by a responsive support team, further enabling users of various abilities to contribute to a company’s AI initiatives.

That said, Stack AI is not without its drawbacks:

Reliance on pre-built templates restricts use cases
Limited customization hinders specialization
Limited scalability for large-scale operations

View more Stack AI alternatives

Sandgarden

Sandgarden provides production-ready infrastructure by automatically crafting the pipeline of tools and processes needed to experiment with AI. This helps businesses move from test to production without figuring out how to deploy, monitor, and scale the stack.

With Sandgarden you get an enterprise AI runtime engine that lets you stand up a test, refine and iterate, all in support of determining how to accelerate your business processes quickly. Time to value is their ethos and as such the platform is freely available to try without going through a sales process.

Conclusion

Rivet and Stack AI approach AI development from different angles, but both come with limitations that prevent them from being complete solutions. Rivet’s no-code visual programming is useful for quickly building AI workflows, yet it lacks advanced version control, enterprise-grade security, and deep analytics capabilities. Stack AI, while focused on integrating AI into business processes, does not provide robust prompt management, structured logging, or flexible deployment options. Both platforms require additional tools and custom integrations to create a fully functional, scalable AI development environment.

Sandgarden removes these inefficiencies by offering an all-in-one AI development platform with built-in security, analytics, and seamless workflow management. Unlike Rivet and Stack AI, Sandgarden provides structured prompt management, real-time analytics, and enterprise-grade encryption, ensuring a smooth and secure development experience. Its API-first design allows teams to scale effortlessly, while integrated version control and flexible hosting options make it the superior choice for AI teams that demand efficiency and security. For organizations seeking a powerful, future-proof AI development solution, Sandgarden is the clear winner.