℞ Prescription-only concept Early development

Mental health diagnosis
depends heavily on
patient history.

But the most important symptoms
happen between visits.

Without continuous symptom capture, providers can only treat what patients manage to recall in the room.

The average wait time between appointments is

67 days

Here's what a patient experiences during the wait.

The appointment arrives

And the patient says:

"I've been doing well.
Just a little tired."

Weeks of lived experience.
Compressed into a few hurried sentences.

† SAMHSA National Survey on Drug Use and Health, 2022

What if clinicians could see
the full picture?

Introducing

Frankly.

A prescription-only AI companion that captures psychiatric symptoms between visits — so every appointment begins with the full picture.

Prescription-based · Clinician-directed · Evidence-informed

How it works

Frankly is prescribed by the clinician.
Trusted by the patient.

Patients receive access from their provider as part of their care — for as long as their clinician needs.

Clinician interface

Rx: Frankly

Ongoing program · Daily check-in

PatientSarah M.
ConditionDepression
DurationClinician-defined

Patient notification

Frank

Hi Sarah — your doctor has added Frankly to your care plan. I'll check in with you each day. Share as little or as much as you like.

Everything you share stays between you and your care team.

The patient experience

Between visits,
nothing gets lost.

Frank checks in with Sarah daily — catching symptoms in the moment they're felt, not reconstructed from memory at the next appointment.

Captures symptoms at the moment they happen
Every entry surfaces in the clinical summary
Frank Today · 3:22am
Mon · 3:08am Tue · 11:52pm Wed · 6:17am Today · 3:22am

What Frank sees

A symptom becomes
clinical context.

Frank tracks mood, sleep, and stress across every check-in. The pattern emerges — ready for the clinician whenever the appointment arrives.

Mood Trend — Sarah M.

Week 1 onward · Daily average

↓ Current low
Avg mood
3.6
↓ from baseline
Check-ins
52/56
93% completion
Flags
4
this program

Provider view

The full picture,
before the visit begins.

SM
Sarah M.
Depression · 8-week program
⚑ Flagged
Mood trend
Declining
↓ Current low
Sleep
Disrupted
3–4am waking
Stress
Elevated
Past 3 weeks
🌙 Early morning depression reported — lowest mood on waking, improving through the day
Frank's pre-visit brief
In Sarah's words

"I still can't sleep. It's always worst in the mornings." Mood consistently self-rated 3–4/10. Diurnal variation mentioned unprompted across multiple check-ins.

What the data shows

Mood avg 3.6 over 14 days · 93% check-in rate · Sleep disruption logged 11 nights · Waking pattern 3–4am recurrent · Social withdrawal and reduced appetite noted.

🎙Voice & speech patterns

Speech rate below her 8-week baseline — consistent with psychomotor slowing. No pressure of speech detected. Response latency trending longer over 14 days. Vocal affect notably flat.

Provider panel

Every patient. Always current.

Active patients 5 enrolled · 2 flagged
Patient Mood Trend Status Appt

The appointment, transformed

"I noticed your mood started dropping around last Tuesday. Let's talk about what changed."

Dr. Patel · Primary Care

Now the conversation starts with understanding.

From snapshots…

…to the full picture.

Frankly.

Mental health care informed by what happens between visits.

Speak openly. Freely. Frankly.

Interested in piloting Frankly?

Join us in shaping the way mental health data is captured.

Early access

Express your interest
in Frankly

Thank you.

Your interest has been received. We'll be in touch shortly.

No commitment required — just let us know you're interested.

Letter of intent

Become a founding
clinical partner

✉︎

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Non-binding. We'll follow up within a few business days to learn more about your practice.