Braintrust vs. Parea

Braintrust and Parea both offer AI development capabilities, but they serve different functions. Braintrust focuses on LLM evaluation, providing tools to assess and refine AI models, while Parea specializes in testing and continuous optimization. Each platform has its strengths, but both come with limitations that may require teams to rely on additional tools to create a complete AI workflow.

However, Braintrust and Parea aren’t the only options available. Another platform, Sandgarden, provides a more comprehensive solution by combining the best aspects of both while addressing their shortcomings. In this comparison, we’ll examine how Braintrust and Parea stack up while also considering how an alternative like Sandgarden can deliver a more seamless and scalable AI development experience.

Braintrust’s AI evaluation system versus Parea’s model testing and refinement tools.

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

Parea

Parea empowers teams to test and continuously refine AI-driven applications. The platform streamlines a range of tasks, including the generation, evaluation, and optimization of prompts to boost their effectiveness.

Equipped with tools like API integration and analytics, users can track live data and obtain actionable insights, improving their development processes. Additionally, Parea provides customizable feature development, making it a good choice for teams aiming to scale their LLM-driven projects with efficiency.

That said, Parea is not without its drawbacks:

No seamless way of integrating customer data

Unwieldy for less technical users

Limited scalability for large-scale operations

View more Parea 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 Parea each offer specialized capabilities for AI development but lack the full suite of tools needed for a seamless workflow. Braintrust excels in LLM evaluation, helping teams assess and refine their AI models, but it falls short in areas like prompt management, security, and infrastructure control. Parea, on the other hand, focuses on the continuous testing and improvement of language models but lacks key deployment, analytics, and version control features. As a result, teams using either solution often need to rely on additional integrations to fill these gaps.

Sandgarden eliminates these limitations by providing a comprehensive, all-in-one AI development platform. Unlike Braintrust and Parea, Sandgarden offers full support for prompt management, version control, analytics, and real-time tracing while maintaining enterprise-grade security and encryption. With its API-first architecture and flexible deployment options, Sandgarden ensures that AI teams can develop, test, and deploy models without unnecessary complexity. For organizations seeking a complete and scalable AI solution, Sandgarden is the superior choice.