Athina is a framework for the development of large language model (LLM) features, making AI accessible across various use cases. Sandgarden is a modularized platform that enables product-driven businesses to rapidly prototype, iterate, and deploy their AI integrations.
Let's compare Athina with Sandgarden, and see which option may work better for your business.
Athina empowers teams to experiment, evaluate, and monitor AI-driven applications. With its internal IDE, Athina offers a suite of tools to create, manage, and evaluate datasets, prompts, and evaluations.
The platform also includes observability tools, allowing teams to monitor AI model performance, manage costs, and maintain quality over time. In sum, Athina helps businesses efficiently integrate high quality and reliable AI powered workflows into their applications.
That said, Athina is not without its drawbacks:
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 Athina and Sandgarden emphasize rapid testing, only with Sandgarden is every POC production ready. Onboarding is simplified with comprehensive documentation and detailed tutorials. And whereas Athina does not readily ingest your contextual data, Sandgarden easily integrates with disparate data sources.
Both Sandgarden and Athina 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.
Athina is a comprehensive platform for working with LLMs to design and build AI applications. Yet with an uphill climb to get started and an inefficient process for utilizing internal contextual data, time to value may be extended.
For any enterprise looking to generate tangible business value quickly, 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.
