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  • Context layerShared memory across repos, tasks, and agents
  • Agent orchestrationRoute work across Codex, Cursor, Claude Code, and CI
  • Sessions and sandboxesIsolated cloud environments for every serious run
  • VerificationCI, QA, and review inside the agent loop
  • Control and checkpointsHuman judgment at the moments that matter
  • Tasks and boardsSprint boards where agents are first-class contributors
  • IntegrationsGitHub, trackers, CI, chat, and the tools you already run
  • ObservabilityUnified visibility across every agent run and outcome
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  • Code reviewReview every PR with agents that know your standards
  • Ticket to PRAssign a ticket, merge a reviewed pull request
  • Incident managementInvestigate alerts before humans arrive
  • Test coverageCoverage that climbs, suites that stay green
  • MigrationsModernization as a program, not a weekend project
  • Security remediationFrom CVE alert to a reviewed fix
  • OnboardingRamp every engineer in days, not quarters
  • Large projectsFrom design doc to shipped feature
  • AutomationsRecurring engineering work as repeatable workflows
  • Team standards at scaleYour best workflow becomes everyone’s default
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    • Context layerShared memory across repos, tasks, and agents
    • Agent orchestrationRoute work across Codex, Cursor, Claude Code, and CI
    • Sessions and sandboxesIsolated cloud environments for every serious run
    • VerificationCI, QA, and review inside the agent loop
    • Control and checkpointsHuman judgment at the moments that matter
    • Tasks and boardsSprint boards where agents are first-class contributors
    • IntegrationsGitHub, trackers, CI, chat, and the tools you already run
    • ObservabilityUnified visibility across every agent run and outcome
    • Code reviewReview every PR with agents that know your standards
    • Ticket to PRAssign a ticket, merge a reviewed pull request
    • Incident managementInvestigate alerts before humans arrive
    • Test coverageCoverage that climbs, suites that stay green
    • MigrationsModernization as a program, not a weekend project
    • Security remediationFrom CVE alert to a reviewed fix
    • OnboardingRamp every engineer in days, not quarters
    • Large projectsFrom design doc to shipped feature
    • AutomationsRecurring engineering work as repeatable workflows
    • Team standards at scaleYour best workflow becomes everyone’s default
  • Docs
  • Pricing
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Legal

Privacy Policy

How Alan handles account, workspace, and service data.

1. Information We Collect

As a customer of Alan, we collect your name and email address for the purpose of providing our services, managing your account, and communicating with you. Depending on how you use the product, we may also process workspace information needed to operate the service, such as tasks, project context, agent activity, test results, and related workflow data.

2. Use of Information

The information we collect is used to manage your account, provide our services, communicate with you about your subscription and our services, improve product reliability, provide usage analytics, and develop new features and services.

3. Protection of Information

We implement security measures intended to maintain the safety of your personal information and workspace data. We use modern infrastructure and access controls to help ensure that your information remains secure and confidential.

4. Sharing of Information

We do not sell, trade, or rent your personal information to third parties. We may share aggregated demographic and usage data with business partners, but this does not include personal information that can identify an individual person.

5. Your Rights

You have the right to access, correct, or delete your personal information at any time. Please contact us if you wish to do so.

6. Changes to This Privacy Policy

We may update our Privacy Policy from time to time. We will notify you of any changes by posting the new Privacy Policy on this page. You are advised to review this Privacy Policy periodically for any changes.

7. Processing of Agent and Workspace Data

Alan may process agent interactions, task context, repository metadata, test outputs, and related workspace data to provide the service. When third-party AI or automation providers are used, data is sent only as needed to execute the requested workflow. We do not use customer workspace data to train or fine-tune AI models without explicit customer consent.

8. Contact Us

If you have any questions about this Privacy Policy, please contact us at support@tryalan.ai.

9. Governing Law

This Privacy Policy is governed by and construed in accordance with applicable laws, and you submit to the jurisdiction applicable to the services provided.

Last updated: April 29, 2026

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