Braintrust vs. Stack AI

Braintrust and Stack AI each offer unique capabilities for AI development, but they serve different purposes. Braintrust is designed for LLM evaluation, helping teams measure and refine AI model performance, while Stack AI focuses on integrating AI into business workflows through automation. While both platforms have their strengths, they also come with limitations that may require additional integrations to achieve a complete AI development solution.

For those looking for a more robust and scalable option, there is another platform to consider. Sandgarden combines the advantages of both Braintrust and Stack AI while addressing their weaknesses, offering a more comprehensive and efficient AI development environment. This comparison will explore how Braintrust and Stack AI compare while also highlighting how an alternative like Sandgarden can provide a more seamless and future-proof solution.

Braintrust’s AI evaluation versus Stack AI’s workflow automation for business applications.

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

Braintrust

Braintrust offers an LLM evaluation suite, providing tools for testing and optimizing model performance over time. With a focus on experimentation and a user-friendly testing library, users can quantify results against AI initiatives.

At the core of Braintrust is a software development kit (SDK) that integrates into existing infrastructure and CI/CD pipelines. This enables continuous evaluations that offer insights into LLM accuracy and reliability. As a third-party evaluator Braintrust is model agnostic, allowing it to work across multiple systems and platforms.

That said, Braintrust is not without its drawbacks:

Limited ability to move workloads to production
Limited scalability for large-scale operations
Unwieldy for less technical users

View more Braintrust 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

Braintrust and Stack AI both offer valuable tools for AI development, but each comes with significant limitations. Braintrust excels in LLM evaluation, helping teams measure and refine AI model performance, yet it lacks essential features like version control, real-time analytics, and enterprise-level security. Stack AI, on the other hand, provides automation tools for integrating AI into business processes but does not offer robust tracing, logging, or flexible deployment options. As a result, teams using either platform often face challenges when trying to scale AI initiatives efficiently.

Sandgarden surpasses both by delivering a fully integrated, all-in-one AI development ecosystem. Unlike Braintrust and Stack AI, Sandgarden provides seamless prompt management, comprehensive analytics, and built-in security measures, including encryption and access control. With its API-first architecture and flexible self-hosting options, Sandgarden enables AI teams to move faster, work smarter, and deploy more securely—making it the best choice for organizations looking to streamline AI development without compromise.