Adaline
Observability platform that enhances AI agents through data-driven insights.
What is Adaline?
Adaline is an observability platform designed for self-improving AI agents. It transforms production traces into actionable behaviors, evaluations, and synthetic data, enabling teams to enhance their agents efficiently.
What are the key features?
- Production trace ingestion and analysis.
- Automatic generation of evaluations.
- Creation of synthetic test data.
- Behavior mapping for agent patterns.
- Enterprise-grade security and compliance.
Who should use this?
- Product managers overseeing AI development.
- Data scientists generating synthetic data.
- Machine learning engineers evaluating models.
- Tech leads ensuring compliance and security.
- Founders building AI-driven products.
How does Adaline help with AI visibility?
Adaline does not help with AI visibility. Instead, it serves as the ML layer between your traces and your agent diffs, which include behaviors, evaluations, and synthetic data. By transforming production traces into actionable insights, Adaline enables teams to enhance their AI agents efficiently and create a robust feedback.
