Clinical AI that keeps the clinician in charge.

Clinicians spend too much of the day translating messy reality into software: fragmented notes, scattered guidelines, disconnected patient context, and documentation that follows them home. attest is designed to reduce that translation burden while preserving the parts of medicine that should never be automated away: judgment, accountability, and care.

Our product combines evidence-grounded consults, structured note drafting, ambient scribing, and boards-style learning in one patient-aware workspace. The goal is simple: help clinicians move faster without making them trust a black box.

• Cited clinical answers that show the guideline, trial, review, or label behind important claims.
• Documentation tools that turn raw encounters, transcripts, and clinician preferences into editable notes.
• Scribing workflows that help clinicians stay present with patients while still producing structured documentation.
• Training tools that convert clinical context into board-style questions and cited explanations.
• Security and privacy controls designed for healthcare workflows, including de-identification-first defaults and BAA support for organizations.

attest is built around source transparency, clinician review, and minimal data exposure. We believe clinical AI should disclose its evidence trail, avoid pretending to be the treating clinician, and make it easy to correct or reject output before anything reaches the medical record.

attest is for physicians, residents, fellows, advanced practice clinicians, and clinical teams who need fast help with evidence review, documentation, and learning. It is not a replacement for clinical judgment and is not intended for patient self-diagnosis.