Gantry is a cutting-edge platform designed to improve the observability, analysis and evaluation of AI-driven products. It is based on the fundamental goal of creating AI that users can trust, by offering a suite of tools that streamline testing and deployment processes.

Main Features:

1. Comprehensive data logging: Gantry captures all relevant data from your AI products, recording inputs and outputs and enriching it with metadata and user feedback. This holistic view ensures you have a complete picture of your model’s performance.
2. In-Depth Model Analysis: The platform provides robust tools to analyze model behavior and identify areas for improvement. It monitors errors and underperforming cohorts or use cases, enabling targeted improvements.
3. Feedback-based model improvement: Gantry leverages user feedback to refine models. It programmatically brings together unusual or underperforming examples, making it easier to retrain your AI models more efficiently.
4. Programmatic AI Testing: Gantry is revolutionizing the way AI is tested, just like software testing. It eliminates the need for manual review of thousands of outputs when editing prompts or templates, enabling more effective and efficient evaluation of LLM-based applications.
5. Secure deployment of changes: the platform ensures secure deployment of changes by quickly detecting and correcting degradations. It monitors new deployments in real time, enabling seamless updates to the version of your application that users interact with.

Use case:

• AI Product Development: Streamline the development process by quickly falsifying assumptions and confidently leading product development.
• Model Behavior Insights: Get fast, accurate insights into the behavior of your models, with the ability to drill down in the Gantry UI or extract data for deeper analysis.
• Enterprise-ready solutions: Bring your own models and data, and leverage Gantry’s serverless streaming data engine to process enterprise-scale data securely and efficiently.

Why Gantry:

• Trust and Reliability: Gantry helps create AI that users can trust, a critical factor in the adoption and success of AI-based products.
• Efficiency and Effectiveness: It simplifies and accelerates testing and deployment processes, resulting in faster development times and fewer errors.
• Continuous Improvement: Gantry enables a virtuous cycle of continuous improvement, as more unwanted behaviors are detected and incorporated into testing.

Gantry stands out in the market by combining powerful observability, analysis and evaluation capabilities, making it an indispensable tool for companies wanting to create and maintain high-quality AI-driven products.