Sandgarden vs. Braintrust

Braintrust is a Large Language Model (LLM) evaluation tool that helps teams monitor the performance and reliability of their AI tools. Sandgarden is a modularized platform that enables product-driven businesses to rapidly prototype, iterate, and deploy their AI integrations.

Let's compare Braintrust with Sandgarden, and see which option may work better for your business.

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

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. 

While both Braintrust and Sandgarden emphasize rapid testing, only with Sandgarden is every POC production ready. Whereas Braintrust may not be appropriate for very large-scale operations, Sandgarden readily scales from zero to massive-production with minimal overhead. And while developers not already steeped in AI may find Braintrust difficult to work with, Sandgarden is the only platform that engineering, infrastructure, and product teams can agree on.

Feature Comparison

Sandgarden
Workflow Iteration
Prompt Management
LLM Evaluation
Version Control
Analytics
Monitoring
Tracing
Metrics
Logging
Deployment
API First
Self-Hosted
On-Prem Deployment
Dedicated Infrastructure
Controls
Access Control
SSO
Security
Data Encryption

Conclusion

Both Sandgarden and Braintrust help businesses integrate AI into their applications. Sandgarden specializes in modularized and rapid prototyping in an “already production-ready” way. The flexibility and fine-grained control gives teams an ability to build innovative solutions for infinite use cases. Plus, an intuitive UI and supporting documentation empower developers of all stripes to contribute to an organization’s AI initiatives.

Braintrust stands out as an advanced evaluation platform helping AI engineers optimize on LLM-based projects. Yet with a steep learning curve and no seamless way to push projects into production, the value of experiments are limited.

For any enterprise looking to generate tangible business value, Sandgarden stands out for its ability to simplify and accelerate AI integration. With Sandgarden you can get back to doing what you do best - running your business - as opposed to being in the AI business. 

To learn more about Sandgarden, visit sandgarden.com.


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