Help shape SAFEBRIDGE AI as a founding partner. We are building trauma-informed intake with client choice, regulation skills on screen, and meaningful human oversight, and we are inviting a small group of clinicians, practices, and organizations to evaluate it.
We’re now collecting expressions of interest for our founding partner beta. Pricing will be shared with partners once finalized. No payment or product access is available through this page.SAFEBRIDGE AI is a trauma-informed intake platform with grounding and regulation skills on screen, clinician oversight behind it, and the client in control of the whole intake process.
Our mission is to advance behavioral healthcare through trust, innovation, and accountability. We build clinically grounded, trauma-informed technology that puts client safety first, keeps qualified clinicians responsible for clinical decisions, and gives healthcare leaders the transparency they need.
We support clinicians and healthcare organizations with intake solutions, meaningful human oversight, and transparent clinical governance.
Protecting patient dignity, supporting trauma-informed care, and ensuring that qualified clinicians retain responsibility for clinical decisions.
Developing intelligent, secure, and scalable technology that improves clinical workflows while maintaining responsible AI safeguards.
Establishing transparent governance, documented accountability, measurable performance standards, and reliable oversight that healthcare leadership can trust.
Nadège Petrie is the Founder & CEO of SAFEBRIDGE AI. She has more than a decade of leadership experience across behavioral health and health technology settings, including executive and clinical director roles, with a focus on trauma-informed care strategy and responsible AI governance.
She reviews every founding partner submission personally.
Planned paid-beta offerings using synthetic data only. Scope, access dates, and pricing will be shared after technical and clinical governance review.
For independent licensed behavioral health professionals interested in evaluating an emerging intake workflow.
For clinics with up to 10 providers interested in testing multi-user workflows and practice administration.
For behavioral healthcare organizations interested in evaluating future enterprise requirements and governance needs.
Optional add-on under evaluation: enhanced escalation checklists, authenticated clinician and director sign-offs, timestamps, and audit reporting. Essential urgent safety workflows will not depend on purchasing this add-on.
SAFEBRIDGE AI is in development. What follows describes how it is designed to work and what the prototype demonstrates.
Intake is built around the client’s experience first, in plain language, with the provider’s oversight behind it.
The intake is designed so clients are not asked to retell painful experiences, to reduce the chance of triggering them.
Clients can continue or stop at any point. A pause is respected, and it is treated as a clinical signal for the named clinician.
Grounding and coping skills are shown during intake so clients have support in the moment. They support the client and do not replace clinical care.
Risk signals route to a named, credentialed clinician. People make the clinical decisions, not the software.
SAFEBRIDGE AI is designed to support clinical judgment, not replace it, with clear accountability for who reviews what.
Four reasons we are building it this way.
A long form that asks someone to retell their hardest experiences before they meet a clinician can re-trigger them. SAFEBRIDGE AI is designed to gather what a clinician needs without asking for the story.
A clinician preparing for a first session or an admission review needs what matters, organized, with the client’s own choices and pauses visible. Not pages of free text.
SAFEBRIDGE AI is designed to route risk signals to a credentialed clinician, so a person is accountable for every review.
The platform is designed to record who reviewed a signal, what was done, and when, so a clinical director or governance reviewer can look back at it later.
Short walkthroughs of the prototype. Synthetic data only.
These are the results SAFEBRIDGE AI is designed to produce. They are hypotheses for the beta to test, not results from real clients, and we will report what we find, whatever it is.
When clients can pause or stop at any step and use regulation skills on screen, more of them should finish intake without being asked to relive their history. What we will measure: completion, pause and stop rates, and an optional comfort rating from the client.
A structured summary ready before the first visit should cut the time clinicians spend on intake paperwork and chasing missing information. What we will measure: clinician-reported preparation time compared with the practice’s current process.
Routing risk signals to a named, credentialed reviewer should make it clear who reviews what, and how quickly. It is designed so that urgent care is never delayed. What we will measure: time to review and whether the action taken is documented.
SAFEBRIDGE AI is a planned paid beta offered by SAFEBRIDGE AI HOLDINGS INC.
Tell us about your clinical role and organization.
We review your intended evaluation goals and available tier.
Receive scope, subscription pricing, limitations, and agreement when finalized.
Access begins only after engineering, privacy, and safety readiness approvals.
Recruitment targets do not represent current customers or available slots.
We're gathering interest from individual clinicians, group practices, and enterprise decision-makers for a planned paid beta.
Founding partner interest submissions are collected through our website form. Please share professional contact information only; no patient or clinical records. Registration is an expression of interest and does not authorize beta access or payment.
Questions?
SAFEBRIDGE AI HOLDINGS INC
Safebridge.ai@proton.me