Perspective for healthcare AI adoption.

Insights, practical guides, and product updates for teams evaluating and adopting private AI in healthcare.

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Insights

All insights
  1. 4 min read

    Three months of building Timberline

    From a private AI workspace in July to checked citations, projects, and governed web search in September: what we built, and why.

  2. 5 min read

    What to ask before your team uses AI with PHI

    Six questions that show whether an AI tool can safely handle protected health information, and what good answers sound like.

  3. 4 min read

    Private inference vs. public model APIs, explained for healthcare

    Two AI tools can look identical and handle data very differently. Here is what changes when the model runs privately, and how to tell.

Product updates

All product updates
  1. Security hardening across the platform

    Per-tenant model isolation, short-lived credentials, cleaner logs, and automatic security patching strengthen how Timberline runs.

  2. Governed web search

    Timberline can now search the public web when an administrator enables it, with identifying details removed from queries first.

  3. Password sign-in with multi-factor authentication

    Teams without single sign-on can now use password sign-in protected by authenticator-app MFA, account lockout, and breached-password checks.

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