Description
Adaline is an observability and evals platform specifically tailored for self-improving AI agents. It provides a comprehensive solution that transforms production traces into meaningful behaviors, evaluations, synthetic data, and verified improvements that your team can approve and deploy. This innovative platform allows AI teams to enhance their agents autonomously, enabling them to identify issues before they escalate and implement fixes in a matter of minutes, instilling confidence in their AI systems for the first time.
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The core functionality of Adaline revolves around its ability to ingest production traces from AI agents and detect recurring behaviors. By grouping these behaviors into behavior maps, teams can gain a deeper understanding of their agents' performance. Furthermore, Adaline automatically generates evaluations based on detected behaviors and user feedback, ensuring that regressions are identified before any changes are implemented. This proactive approach to evaluation significantly reduces the risk of deploying flawed updates.
Adaline also excels in creating production-faithful synthetic datasets that cover various scenarios, including edge cases that teams may overlook. This capability allows teams to test their agents against a broader range of situations, ensuring robustness and reliability. Additionally, Adaline proposes verified prompt and agent improvements while rejecting changes that could regress existing behaviors, thus maintaining a high standard of performance.
The platform is designed for AI teams across various industries, particularly those focused on developing generative AI products. With its enterprise-grade controls, including SOC 2 Type II auditing, GDPR compliance, and HIPAA compliance, Adaline meets the stringent requirements of organizations concerned about data security and privacy. By integrating Adaline into their workflows, teams can streamline their processes, reduce the time spent on manual evaluations, and focus on delivering high-quality AI solutions.
- CategoryMLOps & Model Deployment
- Pricing ModelEnterprise
- DeploymentCloud
- PlatformsWeb
Adaline's Core Features
Ingest production traces
Detect recurring agent behaviors
Generate evals from behaviors and feedback
Create production-faithful synthetic datasets
Propose verified prompt and agent improvements
Reject changes that regress existing behaviors
Enterprise controls for self-improving agents
SOC 2 Type II audited and certified
GDPR compliant
HIPAA compliant
How to use Adaline?
Ingest production traces: Upload your AI agent's production traces into Adaline.
Detect behaviors: Allow Adaline to analyze the traces and identify recurring agent behaviors.
Generate evaluations: Use the platform to automatically create evaluations based on the detected behaviors.
Create synthetic datasets: Generate production-faithful synthetic datasets for comprehensive testing.
Propose improvements: Review the proposed prompt and agent improvements suggested by Adaline.
Implement changes: Approve and deploy the verified improvements to enhance agent performance.
Monitor performance: Continuously track agent behaviors and evaluations for ongoing improvements.
Adaline's Use Cases
- AI Performance Monitoring
- Synthetic Data Generation
- Behavior Analysis
- Automated Evaluations
- Prompt Improvement
