Arato.ai

Bringing structure and visibility to the process of building production-grade AI applications.

The Secret to Building LLM Apps That Actually Work - With Arato.ai

In this video, I’ll show you how to go from messy prompts and unreliable outputs to clean, evaluated, and scalable LLM workflows using Arato.ai.

About Arato

Arato focuses on one of the hardest challenges in the AI space: turning promising language model experiments into reliable, production-ready applications.

Their platform brings everything needed for this process together in one place: from experimenting with prompts and datasets to evaluating outputs and managing live applications. What makes Arato stand out is how it combines flexibility for rapid iteration with the control and transparency teams need once their AI solutions go into production.

The Arato AI Notebook allows teams to test different foundation models, compare results, and track performance over time, all within a unified and organized workflow. Once deployed, the same environment provides observability, validation, and optimization tools so applications keep improving with real data feedback.

For data and AI engineers, Arato provides the missing link between experimentation and deployment. It helps teams deliver AI features with the same confidence and structure that we expect from any production system. Secure, measurable, and built to evolve.

More Material

YouTube
Astronomer MS Video
In this video, I explore Arato together with CTO & Co-Founder Hilik Paz. We chat about how to evaluate and monitor LLMs in production.
Blog
Astronomer dbt
Learn why testing GenAI apps is fundamentally different from APIs, and how to build a GenAI testing framework.

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