Trace analysis and behavior maps
Ingests production traces and groups recurring agent patterns into behavior maps that teams can inspect.
Adaline
ПодтвердитьAdaline is an observability and evals platform for self-improving AI agents. Turn production traces into behavior maps, evals, synthetic data, and verified improvements.
Overview
Adaline is an observability and evals platform for self-improving AI agents. It is designed to turn production traces into concrete artifacts a team can use to improve an agent: behavior maps, evals, synthetic data, and verified changes.
The public site frames Adaline as a layer between agent traces and agent diffs. It ingests production traces, identifies recurring behaviors, creates evaluations from those behaviors and user feedback, and helps teams test improvements before they ship. The result is a workflow aimed at catching regressions earlier and making agent iteration more measurable.
The pricing page shows the product is organized for collaborative teams and enterprises, with free, grow, and custom offerings. Public pages also highlight enterprise controls such as SSO/SAML, SOC 2 Type II, HIPAA, GDPR, PII DPAs, and on-prem deployment options on custom plans.
Core capabilities
Evals that reflect production behavior
Generates evals from detected behaviors and user feedback so regressions can be caught before changes ship.
Synthetic data generation
Produces production-faithful synthetic data for edge cases and scenarios that are missing from current coverage.
Continuous evaluation workflow
Supports continuous evaluations with plan-based usage limits and additional runs billed on the pricing page.
Evaluator and alerting options
Offers JavaScript Evaluator and alerts on the Grow plan, with custom evaluators available on Custom.
Deploy and monitor agent behavior
Includes deployment and monitoring capabilities such as environments, deployments, logs, analytics, end-user feedback, and scores.
Where Adaline fits
Understand recurring agent behavior
Use Adaline to review production traces, detect repeated agent behaviors, and translate them into inspection-friendly behavior maps for product and engineering teams.
Catch regressions before shipping
Use Adaline to generate evals from observed behaviors and user feedback so you can check for regressions before releasing agent changes.
Build test data for missing scenarios
Use Adaline to create production-faithful synthetic data for edge cases that are underrepresented in real traffic or not yet observed.
Monitor production changes
Use Adaline to run continuous evaluations and monitor deployments with logs, alerts, analytics, and feedback signals.
Support enterprise workflows
Use Adaline as a governed platform for larger teams that need SSO/SAML, audit logs, role-based access, and deployment controls.
Pros and Cons
Pros
- Turns production traces into usable artifacts instead of leaving teams to inspect raw logs manually.
- Connects trace analysis, eval generation, and synthetic data in one workflow.
- Includes continuous evaluations, alerts, and deployment-related limits on public pricing pages.
- Offers a free entry tier plus enterprise-oriented custom options.
- Supports collaboration and governance features on paid and custom tiers, including role-based access, audit logs, and SSO/SAML options.
Cons
- The public pages reviewed do not spell out supported model providers, SDKs, or integration details.
- Setup, data flow, and workflow depth are described at a high level rather than in step-by-step documentation on the pages reviewed.
- Some advanced capabilities, such as custom providers, custom evaluators, and on-prem deployment, are only listed on the Custom plan.
FAQ
What is Adaline?
Adaline is an observability and evals platform for self-improving AI agents. It turns production traces into behaviors, evals, synthetic data, and verified improvements that teams can approve and ship.
How does Adaline work?
The source emphasizes production traces, behavior maps, self-generated evals, synthetic data, and verified improvements. It does not provide detailed setup steps on the public pages reviewed.
Does Adaline have enterprise options?
The pricing page shows Free, Grow, and Custom plans. The Custom plan is positioned for enterprises and includes custom providers, custom evaluators, SSO/SAML, SOC 2 and HIPAA options, on-prem deployment, and a dedicated deployed engineer.
What integrations does Adaline support?
The public pages reviewed show a docs link and a get-started form, but they do not list supported SDKs or specific integrations in the source text provided.
Quick Facts
- Category
- Observability and evals platform
- Primary users
- Teams building and operating AI agents
- Pricing
- Free, Grow, and Custom plans are listed
- Public site
- adaline.ai
- Plan notes
- Grow includes JavaScript Evaluator and alerts; Custom adds enterprise options such as custom providers, custom evaluators, SSO/SAML, and on-prem deployment