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PHARMACY

Scriptify is an AI-native telemedicine clinic that runs inside community pharmacies. We supply the clinicians, the protocols and the software. The pharmacy supplies the patients it already sees every month. Insurance pays for the care, and the counter keeps working exactly as it does today.

Preventative care happens between the visits, at the pharmacy.

Chronic disease consumes about 90% of American healthcare spending, and almost all of it arrives after the damage is done — the ER visit, the readmission, the complication that was months in the making. Meanwhile the patient walks into the same pharmacy every month, sees the same pharmacist, and walks out with a bag. Scriptify turns that visit into care — a clinical team behind the pharmacy the patient already trusts, supporting the months between refills so the complication gets caught while it’s still small.

Pharmacy is the most frequent touchpoint of contact in healthcare

A patient managing three chronic conditions sees their physician roughly twice a year. They collect a prescription about once a month. The pharmacy counter is where the clinical relationship actually lives, and it is the one point of contact nobody has staffed for clinical work. This is exactly where Scriptify lives — inside that visit, every month, for as long as the condition lasts.

>12 interactions a year, all of them at your counter
Insurance already pays for preventative care

Telemedicine services have been reimbursable for years. Uptake hasn't scratched the demand of eligible patients, because the revenue opportunity sits inside hospitals and clinics with limited access to those patients. The money is there. The access is somewhere else.

The money is appropriated. The access is somewhere else.
Community pharmacy has been moving this way for years

Immunizations, point-of-care testing, medication therapy management, test-and-treat. Scope has widened in most states and payers have followed. What has been missing is the clinical staffing and the reimbursement plumbing to make chronic care a standing service instead of a side project. Scriptify is both.

Each step widened what a pharmacy is allowed to do

We're condition agnostic.

Our clinical protocols are the unit of work, not the product. Each one carries out the treatment the patient’s own prescriber ordered, entrusted to the pharmacy that fills it — they stack for a patient carrying four conditions at once, and a new one takes weeks rather than quarters — so if your patient population concentrates somewhere we haven't covered, we build for it.

HypertensionBlood pressure
DiabetesGlycemic control
Heart failureGDMT and congestion
COPDMaintenance therapy
AsthmaControl and technique
ObesityWeight and nutrition
DepressionMeasurement-based care
Tobacco cessationQuit support
AnxietyIn protocol review
Your conditionBuilt in weeks, not quarters
HypertensionBlood pressure
DiabetesGlycemic control
Heart failureGDMT and congestion
COPDMaintenance therapy
AsthmaControl and technique
ObesityWeight and nutrition
DepressionMeasurement-based care
Tobacco cessationQuit support
AnxietyIn protocol review
Your conditionBuilt in weeks, not quarters

What you actually see.

The same month, told three ways. Scriptify looks different depending on which side of it you stand on — so pick a seat and scroll.

Step 1 — Your patient list
Main St. Pharmacy
412Patients enrolled
377Visits completed this month
377Notes in your records
$2,060Fee accrued this month
Your patients412 enrolled · sorted by last visit
Wilson, JanetHypertensionVisit 01/15/26Next 02/12View note
Co, DominicType 2 diabetesVisit 01/14/26Next 02/11View note
Rodriguez, CarmenHeart failureVisit 01/12/26Next 02/09View note
Patel, AnikaHypertensionVisit 01/09/26Next 02/06View note
Nguyen, BinhHyperlipidemiaVisit 01/08/26Next 02/05View note
100%
Scroll inside the screen, or zoom to read it closely

This is the entire interface. No scheduling to run, no charting to do, no payer portal to log into. The list updates itself as patients enroll at your counter and as visits complete, and it is the only Scriptify screen your staff ever open.

Step 2 — Enroll at the counter
Pick a time for your first visit
Janet Wilson · with Dr. Jana Attia, RPh.
MON19
TUE20
WED21
THU22
FRI23
Thursday, January 22
9:00 AM
9:30 AM
10:00 AM
10:30 AM
11:00 AM
2:00 PM
2:30 PM
4:00 PM
4:30 PM
Confirm Thu, Jan 22 · 10:00 AM ✓  Booked — we'll call you then

Consent, then a time that suits them. The technician hands the tablet over with the bag. Three documents, one signature, and the patient books their own first appointment before they leave the counter. Under two minutes end to end, and nothing else about the pickup changes.

Step 3 — Your patient takes the call
MP Scriptify · now
Main St. Pharmacy
Incoming call — your care team
✕ Decline ☎ Accept
9:41●●●○  ■■■
JW
Good morning,Janet
Live call · 12:34 HIPAA secure
JA Dr. Attia, RPh. Scriptify care team
RPhHow has the blood pressure been?
PtAbout 128 over 82 most mornings.
AILogged: home BP 128/82 · at goal
RPhAny doses of the lisinopril missed?
AIAdherence 94% · no gaps this month
Connected glucose monitorLive
118mg/dLIn range
6a12p6pnow
3 readings left
this month

You are not on this call and you don't staff it. The patient is phoned at a scheduled time by the same Scriptify pharmacist each month, introduced as the clinical team at their pharmacy. Devices they've been issued report in on their own, and the note starts drafting while they talk.

Step 4 — You get told, and you open it
Main St. Pharmacy
Janet Wilson completed her visitNote signed and reviewed · ready in her record View
Your patientsClick a patient to open their latest note
Submitted to payer
Patient Janet WilsonVisit 01/15/26Condition Hypertension
SHome BP averaging 128/82 over 14 readings. Morning dizziness reported last visit has resolved. No syncope, no edema.
ORefill adherence 94%, no gaps this month. Potassium 4.1, creatinine stable at last draw.
AHypertension at goal on current therapy. No titration indicated this cycle.
PRegimen appropriate as written; no change recommended. DASH sodium targets reinforced. Recommendation sent to prescriber: repeat BMP at 90 days.
PharmacistDr. Jana Attia, RPh.
Reviewed byHaroon Hyder, MD
Filed to Janet's record · nothing required from your team
Submitted to payer
Patient Dominic CoVisit 01/14/26Condition Type 2 diabetes
SReports fasting glucose 110 to 130 at home. No hypoglycemia, no GI intolerance since the dose increase.
OCGM time in range 71% over 14 days. Metformin adherence 97%. eGFR stable.
AImproving glycemic control, approaching individualized target. Tolerating therapy.
PCurrent metformin dose confirmed against protocol. Carbohydrate counting reinforced. Recommendation sent to prescriber: A1c at 90 days.
PharmacistDr. Jana Attia, RPh.
Reviewed byHaroon Hyder, MD
Filed to Dominic's record · nothing required from your team
Submitted to payer
Patient Carmen RodriguezVisit 01/12/26Condition Heart failure
SWeight steady at 164 lb over two weeks. No orthopnea, no new ankle swelling. Walks to the mailbox without stopping.
OPotassium 4.3, creatinine at baseline. Furosemide adherence 91%. Blood pressure tolerating uptitration.
AEuvolemic. Room to advance guideline-directed therapy per protocol.
PRecommendation sent to prescriber: consider beta blocker uptitration one step, chemistry panel in 14 days. Daily weights reinforced with a call-in threshold.
PharmacistDr. Jana Attia, RPh.
Reviewed byHaroon Hyder, MD
Filed to Carmen's record · nothing required from your team
Submitted to payer
Patient Marcus OseiVisit 01/12/26Condition COPD
STwo rescue inhaler uses in the past week, both after stairs. No night waking, no sputum change.
OMaintenance inhaler adherence 88%. No exacerbation since October. Smoking status unchanged.
AStable on current maintenance therapy. Rescue use within the protocol threshold.
PInhaler technique re-checked with teach-back; two errors corrected. Recommendation sent to prescriber: continue current regimen, reassess at 90 days.
PharmacistDr. Jana Attia, RPh.
Reviewed byHaroon Hyder, MD
Filed to Marcus’s record · nothing required from your team
Submitted to payer
Patient Rosa DelgadoVisit 01/09/26Condition Type 2 diabetes
SFasting readings 118 to 134. No hypoglycemia. Reports the evening dose is the one she forgets.
OCGM time in range 66% over 14 days. Metformin adherence 82%, gaps cluster midweek.
AApproaching target. Adherence is the limiting factor rather than the regimen itself.
PRegimen simplification discussed and a pill organizer arranged through the pharmacy. Recommendation sent to prescriber: consider a once-daily formulation, A1c at 90 days.
PharmacistDr. Jana Attia, RPh.
Reviewed byHaroon Hyder, MD
Filed to Rosa’s record · nothing required from your team
Submitted to payer
Patient Soo-jin KimVisit 01/08/26Condition Hyperlipidemia
SNo myalgia and no new symptoms since the last statin change. Taking it with dinner as advised.
OStatin adherence 96%. Last lipid panel 112 days ago. Liver enzymes normal at last draw.
ATolerating therapy. The monitoring interval has lapsed past the protocol window.
PNo therapy change recommended. Recommendation sent to prescriber: repeat lipid panel and liver enzymes.
PharmacistDr. Jana Attia, RPh.
Reviewed byHaroon Hyder, MD
Filed to Soo-jin’s record · nothing required from your team
100%
Scroll inside the screen, or zoom to read it closely

Click any patient above — the note opens. What you get is the finished record: what the pharmacist assessed, what changed in the regimen, and the two signatures behind it. Read-only, because the clinical accountability sits with the physician who reviewed it, not with your pharmacy.

Step 5 — Your monthly statement
Main St. Pharmacy January 2026
Total eligible patients4,120
Total enrolled patients412
Monthly active patients377
Flat administrative fee per patient$5.00
Payment dateFeb 10, 2026
Due to Main St. Pharmacy$2,060

Your payment does not move with the claims. It is a flat monthly fee per enrolled patient, set in advance at fair market value for the administrative work you actually do, and paid whether any individual visit reimburses or not. That separation is deliberate — it is what keeps the arrangement clean under the Anti-Kickback Statute.

Step 6 — Ask your own data
Scriptify
Ask me anything about your patients…
QWho is heading for a hospital stay?
Generated from your own dispensing history, visit notes and device readings. Not a diagnosis — a place to start looking.
Where it concentrates

The same panel, cut four ways. Darker means a heavier concentration of the measure you've picked — the cells worth a second look are the dark ones sitting next to light ones.

Break down by
Measure
LowerHigher
Pick a cell to see what sits behind it.

Counts are drawn from your own dispensing and visit records. Race and ethnicity are self-reported and shown so equity gaps in your panel are visible rather than hidden — they are never used to decide who gets offered care.

100%
Scroll inside the screen, or zoom to read it closely

The data you have been generating all along, finally readable. Every fill, every visit note and every device reading in your store becomes something you can ask a question of. Population patterns, individual risk, gaps worth a phone call — in the language you would use to ask a colleague.

Step 1 — At the counter
Pick a time for your first visit
Janet Wilson · with Dr. Jana Attia, RPh.
MON19
TUE20
WED21
THU22
FRI23
Thursday, January 22
9:00 AM
9:30 AM
10:00 AM
10:30 AM
11:00 AM
2:00 PM
2:30 PM
4:00 PM
4:30 PM
Confirm Thu, Jan 22 · 10:00 AM ✓  Booked — we'll call you then

Nobody asks you to download anything. A technician hands you a tablet with your bag, you read three short documents, you sign once, and you choose the time you actually want to be called. You leave with your prescription, as always.

Step 2 — The call
MP Scriptify · now
Main St. Pharmacy
Incoming call — your care team
✕ Decline ☎ Accept
9:41●●●○  ■■■
JW
Good morning,Janet
Live call · 12:34 HIPAA secure
JA Dr. Attia, RPh. Scriptify care team
RPhHow has the blood pressure been?
PtAbout 128 over 82 most mornings.
AILogged: home BP 128/82 · at goal
RPhAny doses of the lisinopril missed?
AIAdherence 94% · no gaps this month
Connected glucose monitorLive
118mg/dLIn range
6a12p6pnow
3 readings left
this month

It is a phone call, from your pharmacy. The same clinician each month, at the time you picked. Video if you want it, a plain phone call if you don't. They already have your fill history and your readings in front of them, so you are not repeating yourself.

Step 3 — Between calls
9:41●●●○  ■■■
Your blood pressure cuff7:12 AM
128/82mmHgAt goal
MonWedFritoday
Your refills
94%picked up on timeOn track
Nothing for you to do
0forms, logins or uploads

The device does the reporting, not you. If your condition calls for one, a cuff or a meter arrives already paired. You use it the way you would anyway, and the readings reach your pharmacist on their own. If it goes quiet, someone calls to sort it out.

Step 4 — Your doctor stays in charge
Sent to your prescriberDelivered
FromDr. Jana Attia, RPh. · on behalf of Main St. Pharmacy
ToYour primary care physician
ReviewedFull regimen, 6 medications
RecommendationRegimen appropriate as written. Repeat BMP at 90 days.
Prescriber responseAgreed — lab ordered
Nothing changed without your doctor agreeing to it

Your pharmacist does not overrule your doctor. They check the whole regimen against protocol, catch what a fifteen-minute appointment cannot, and send what they found to the person who prescribes. Every change still belongs to your physician.

Step 1 — Sign in and set your week
Your practice preferences
What you want to carry, and where you're licensed to carry it.
CONDITIONS
Hypertension Heart failure Type 2 diabetes COPDAsthmaDepression
LICENSED IN
Massachusetts Rhode Island Connecticut New Hampshire
PANEL SIZE
Part timeFull panel · 180–200
Your availability
The blocks you open here are the only times patients can book.
MONTUEWEDTHUFRI 9:00 AM 10:00 AM 2:00 PM 4:00 PM
13 blocks published. Patients at every pharmacy you cover now see exactly these times on their tablet.

You set the hours; the pharmacies inherit them. Sign in, tell us which conditions you want to carry and where you hold a license, then open the blocks that suit your week. Those blocks are what a patient sees on the tablet at the counter, so nobody books you outside the time you actually offered.

Step 1 — Your panel
Dr. Jana Attia, RPh. · today Thu, Jan 22
9Visits booked today
377Patients on your panel
4Flagged by protocol overnight
2Awaiting prescriber reply
Today's scheduleBooked by the patients themselves
Wilson, JanetHypertension · Main St. Pharmacy10:00 AMVisit 4 of 12Protocol ready
Co, DominicType 2 diabetes · Main St. Pharmacy10:30 AMVisit 7 of 12CGM synced
Rodriguez, CarmenHeart failure · Riverside Drug11:00 AMVisit 2 of 12Weight flag
Boyd, WalterCOPD · Riverside Drug11:30 AMVisit 5 of 12Rescue use up
100%
Scroll inside the screen, or zoom to read it closely

A panel, not a queue. You carry the same patients month after month across the pharmacies you cover. The day is booked before you open it, the protocol flags have already run overnight, and you are not absorbing a single walk-in interruption.

Step 2 — The visit
Janet Wilson · hypertension, v1.1Visit in progress
Home BP 128/82Adherence 94%K+ 4.1
Home readings reviewed against target — at goal for 14 days
Full regimen checked for interactions and duplication
Adherence barriers asked about — none reported
!Protocol wants a BMP; last one was 94 days ago
Exclusion criteria screened — none present
Protocol satisfied · 18 minutes of clinical time logged

The protocol runs beside you, not from memory. Every required element is on the screen with the patient's own data already filled in, so the visit is about the conversation rather than about remembering what the agreement obliges you to check.

Step 3 — The recommendation
Recommendation to prescriberSent and answered
PatientJanet Wilson · I10
What you foundHome BP at goal; BMP overdue by protocol
What you recommendContinue current therapy. Order BMP.
Evidence attached14 home readings, 90-day fill history, last chemistry
PrescriberAgreed in 6 hours — lab ordered
Sent on behalf of Main St. Pharmacy

You are not faxing a suggestion into a void. The recommendation goes out with the evidence attached, under our physician's supervision and in the pharmacy's name — and the response comes back into the same record, so you can see what happened to your clinical judgment.

Step 4 — Review and close
Physician reviewClosed
Supervising physicianHaroon Hyder, MD
EncounterInside protocol — no exception raised
Escalations todayNone from this panel
BillingAssembled and filed under the physician
YouDone at the end of the visit
Reviewed same day · nothing carried into your evening

Somebody else owns the paperwork. Review, coding and claims happen on our side. Hard stops route to a physician who is reachable during clinic hours, not to a ticket queue. When the visit ends, your part of it ends.

Want a real projection?

Sign a BAA and we'll run a free, no-commitment analysis tailored to your patient panel.

Add a clinic. Keep your counter.

You already have the patients, the relationship and the visit frequency that every value-based care program in the country is trying to buy. What you don't have is the bandwidth to perform the clinical work, or a way to get paid for the clinical value of the access you already have to these patients. Scriptify adds those two things and nothing else.

Dispensing margin stopped paying for the storefront.

Reimbursement per script keeps falling and fees claw back what's left after the fact. You're not short on patients and not short on trust. You're short on revenue that isn't tied to a script, and short on the staff hours to go and earn it.

Your chronic patients cost the most and earn the least

They take the most counselling, the most prior-auth chasing and the most staff time, and on many of their fills the contribution is thin or negative once fees are clawed back. A clinical service is the one thing that moves that line, because it is paid for the attention you are already giving them.

$5
per enrolled patient, per month

Set in advance at fair market value and paid whether or not any individual encounter reimburses. Nothing to reconcile, nothing indexed to claims, nothing to argue about at the end of the quarter.

It arrives at no marginal cost to you — no inventory, no dispensing labor, no cost of goods — on the patients whose fills earn you the least.

A second revenue line

A flat monthly fee for every enrolled patient, paid regardless of what their prescriptions reimbursed that month. It is recurring, it is predictable, and it does not move with generic pricing or with the fees taken back at the end of the quarter.

A measurably better relationship

Enrolled patients speak with a named clinician from your pharmacy every month, and they rate you differently for it. Deepening the clinical relationship is what moves net promoter score — and a patient who scores you highly is a patient who is still yours at open enrollment.

Nobody new on payroll

We employ the pharmacists. They are licensed, credentialed and supervised by our physicians, and they work your patients on your behalf. Your team hands over a tablet at pickup. That is the whole operational ask.

No new software to buy

We connect directly to the pharmacy management system you already run, over an API, and only to that. No ePrescribing middleware, no server, no migration, no second workstation behind the counter. Your staff sign in to our cloud platform in a browser tab and that is the entire installation.

We work for your pharmacy

We are not a dispenser and we are not a prescriber, and we have no interest in becoming either. We fill nothing and we write nothing. Our clinicians review therapy and send recommendations to the prescriber on your behalf, so the clinical value lands with your store.

What it looks like on your P&L.

Move the enrollment figure to match the size of your eligible panel. The fee is fixed at $5 per enrolled patient per month, set in your agreement at fair market value for the administrative services you actually provide. It is never a share of claims or a percentage of collections, and it does not move.

200 patients enrolled
105001,000

The average independent fills about 67,600 prescriptions a year — roughly 217 a day, per the 2025 NCPA Digest. Enrollment builds from the patients already in that flow.

$12,000
a year at that enrollment
Per month
$1,000
Clinical touchpoints a year
2,400
Staff hours a week
Under 2

Illustrative only. Not a projection, an offer, or a guarantee of enrollment or payment.

About thirty days from signature to first visit.

Within 30 days, and only one step asks anything of your staff.

  1. 1 Paper and pipes BAA signed and your pharmacy management system connected over the API. Nothing is installed behind your counter. Days 1–7
  2. 2 Twenty minutes with your staff One short session on handing the tablet over at pickup. This is the only step that asks anything of your team. Days 8–14
  3. 3 First enrollments Consent goes out with prescription pickups. Patients sign once and book their own first visit at the counter. Days 15–21
  4. 4 First visits Our pharmacists start calling. Notes land in your portal and the monthly fee begins accruing. Days 22–30

Want a real projection?

Sign a BAA and we'll run a free, no-commitment analysis tailored to your patient panel — how many of your patients qualify, which conditions they cluster in, and what enrollment would actually look like in your store.

Practice at the top of your license. Get paid for it.

You trained to manage drug therapy. Most pharmacy jobs pay you to verify and dispense it. Scriptify is a clinical role: your own patient panel, protocols already written and physician-approved, and a supervising physician who reviews the same day.

What the work actually is.

A panel, not a queue

You carry a defined list of patients and you keep them. The same people, month after month, long enough to see an A1c come down and to know when something is off before the numbers say so. These are not cold calls — every patient enrolled at their own pharmacy counter, picked the appointment time themselves, and is expecting a call from the pharmacy they already use.

Clinical judgment that actually lands

You review the whole regimen against protocol, catch what the chart missed, and send a documented recommendation to the prescriber with the evidence attached — under our physician's supervision and on the pharmacy's behalf. It reaches the person who can act on it, and you see what they did with it.

Measurement-based, not impression-based

Home readings, device data and validated scores come in continuously. You work against a target and a cadence rather than against whatever the patient remembers at the visit.

Documentation that writes itself

Our AI cloud-based system works alongside you during the visit, drafting the note as you talk and pulling in the adherence data, device readings and time log as it goes. You review it, correct it and sign it. The charting is minutes, not the back half of your day.

Remote, scheduled, sane

Visits are booked and patients pick their own slots from the hours you make available. You are not standing at a window absorbing every walk-in interruption while trying to hold a clinical thought.

Nothing you build yourself

No writing protocols on your own time, no chasing a physician for a collaborative practice agreement, no arguing with a payer about whether your service is billable. That scaffolding exists before you see your first patient.

What you can do, and where it stops.

Inside the protocol, the clinical work is yours. You assess the patient against the targets the agreement sets, review the whole regimen, order and interpret the monitoring it calls for, deliver the counselling, and send a documented recommendation — evidence attached — to the patient’s own prescriber, on behalf of the pharmacy that fills their prescriptions.

You do not diagnose and you do not prescribe. Nothing about the treatment changes unless the prescriber agrees to it. Anything outside the protocol — instability, a safety signal, pregnancy, diagnostic uncertainty, a change beyond the approved formulary — goes back to that prescriber, and anything urgent goes to emergency care in the moment. Our supervising physician reviews and co-signs every encounter.

Every protocol states both sides explicitly, and you are signed off on one before you carry a panel in it. The details are easier to talk through than to read — ask us anything about scope, escalation or supervision.

The parts people ask about first.

Licensure and credentialing

An active pharmacist license in the states you'll serve. We handle credentialing, the collaborative practice paperwork and the multi-state footprint as your panel grows.

Training and backup

Onboarding is protocol-by-protocol with competency sign-off before you take a panel. Every protocol is physician-authored and physician-approved, so the escalation path is written into the work rather than something you have to go find.

Hours and patients

Scheduled blocks, part-time or full-time, including evenings. Patients come from partner pharmacies already consented and expecting your call — you do no outreach.

Interested in carrying a panel?

Tell us where you're licensed and which conditions you want to carry. A member of the clinical team will reply.

The most visited clinician in America isn't a doctor.

It's the pharmacist. Scriptify was started to make that fact count for something clinically — by embedding a real clinic where the patients already are, and getting it paid for through the same channels that pay every other provider.

Why we started

Chronic disease is where the spending is and the pharmacy counter is where the contact is, and the American healthcare system has never connected those two facts. The reimbursement to do it has existed for a decade. The clinicians exist, licensed and underused. Nobody had assembled the clinic, the protocols, the physician oversight and the billing into one thing a pharmacy could simply switch on.

What we are

An AI-native telemedicine clinic that operates through community pharmacies. We employ the pharmacists, our chief medical officer owns the clinical protocols and supervises every encounter, and our software carries the work from eligibility through to a filed claim. Pharmacies partner with us; they don't buy a tool from us.

How we think about AI

It handles the parts that burn clinicians out — drafting the note, pulling the adherence history, assembling the time log, watching the device feed for drift. It does not decide anything. Every clinical action belongs to a licensed pharmacist working inside a written protocol, and every encounter is reviewed and co-signed by a physician.

The second thing we build

Longitudinal chronic care records are among the most fragmented data in medicine. As the network grows, de-identified real-world evidence becomes a second business alongside the clinical one — consented, aggregated and governed, and never at the expense of the care.

Who we want to hear from

Eight protocols are live under our chief medical officer's collaborative practice agreement and pharmacies are already signing on. If you own a counter, we can show you what a clinic behind it is worth in your own numbers. If you hold a pharmacist license and want to practice instead of verify, we are building the clinical team now. Either way, the conversation starts with an email — hello@scriptifyrx.com.

Supported by.

Institutions, programs and advisers who have backed the work.

Come find out more.

Whether you run a pharmacy, hold a pharmacist license, or want to talk about the clinical model, we'd like to hear from you.

“The strongest team for a regulated healthcare business…”

MIT Corporation, MIT $100K 2026

A regulated clinical business needs medicine, pharmacy, software and compliance to be equally serious. We built the team that way from the first hire.

Built out of MIT, Harvard and the Massachusetts College of Pharmacy.

Placed repeatedly against the field at MIT and Harvard, every year we have entered.

2025

MIT Hacking Medicine — AI/ML track

3rd place of 150 teams
2025

Harvard Health Systems Innovation Lab

2nd place of 3,500 teams
2026

MIT Sloan Healthcare Innovation Prize

2nd place of 220 teams
2026

Harvard Innovation Labs President's Innovation Challenge

Top 10% (40/440)
2026

Harvard Alumni Entrepreneurs

Top 25
2026

MIT $100K

Top 16 of 400 teams — top 4%
2026

MIT delta v

Top 15 of 250 teams — top 6%

People who have already built what we're building.

Michael WysongChief Executive, Care Pharmacies. Chairman, NACDS.
Dr. Emily Haugh, RPh.Amazon Pharmacy (PillPack).
Sid ViswaranathanFounder and Chief Executive, Truepill and Alchemy.
Dr. Ayesha Khalid, MD, MBAHarvard Medical School. MIT Sloan.
Jonathan FlemingMIT Martin Trust Center. Chief Executive, Oxford Bioscience.
Jeffery DunnPresident and Chief Executive, Cooperative Benefits Group. Former clinical officer, Haven.
Stefan RoehrChief Executive, Sanofi Gold Bond. Formerly Sanofi North America.
Kelvin ParkerEngineering. Moderna, Catalent and Cardinal Health.
Zen ChuFaculty director, MIT Hacking Medicine.
Dr. Saumil Patel, RPh.National operations director, Walgreens.
Dr. Michael Brown, MDHarvard T.H. Chan School of Public Health.
Sasha Berment Lillion, MBATelemedicine operations. Formerly Nsight Health and Accuhealth.

Interested in joining our team?

Clinicians with an active license, and engineers who want to work on something with a regulated edge to it. We'd like to hear from you.

Team

Nomase Iyamu

Founder & Chief Executive Officer

I moved from Newark, NJ at 17 to study at the Massachusetts College of Pharmacy in Boston and Hult International Business School in Cambridge. I am currently a Venture Fellow at the Harvard Health Systems Innovation Lab, and I was part of the MIT Sloan HST Fellowship focused on healthcare ventures, where I refined the research that led to this company.

My passion has always been in diagnosing problems, executing strategy, and gathering talented people around a shared mission.

As a published pharmaceutical analyst, I co-authored work with Harvard and Mass General scientists, showing how cross-disciplinary collaboration can outperform siloed approaches. Our findings informed health-system guidelines and highlighted the value of sharing data across specialties.

A short stint behind the counter revealed shrinking reimbursements, ballooning workloads, and widening tech gaps; COVID-19 tore those seams wider still. Standing beside patients, I saw how vital relationships, trust, and timely counseling are to chronic-disease outcomes. Yet most chronic-care innovations still overlook the neighborhood pharmacy — healthcare’s most accessible touchpoint.

Years of research and deliberative observation convinced me America needed a new care model. Today I incubate Scriptify out of MIT Sloan School of Management’s Martin Trust Center and the Harvard Innovation Labs.

Team

Dr. Haroon Hyder, MD

Chief Medical Officer

I am a physician executive in Richmond, Virginia. I earned my Bachelor of Medicine and Bachelor of Surgery at the University of Mysore, completed family medicine residency and a chief residency at Carraway Methodist Medical Center in Birmingham, and hold a Master of Health Care Management from the Harvard T.H. Chan School of Public Health. I have been board certified in family medicine and licensed in Virginia since 2007.

At Bon Secours Mercy Health I serve as Medical Director of the Primary Care Service Line and of Population Health, directing strategy and clinical operations across 34 primary care sites. I chair the Advanced Care Transformation Committee and chaired the Richmond Accountable Care Organization Board through 2023. The work is unglamorous and specific — schedule templates, pre-visit workflows, patient registries, two-day post-discharge outreach, documentation audits. It moved our largest market from 16.7% to 83.3% of its quality goals, with hypertension control at 80%, diabetes control at 85% and depression screening and monitoring at 94%.

I spent years arguing that pharmacists should be treated as clinicians rather than dispensers, and in 2025 I was a physician co-author on the study that tested it. Published in the Journal of Managed Care & Specialty Pharmacy, it compared pharmacist–physician collaborative care with standard care across 1,293 patients with uncontrolled type 2 diabetes. Patients whose care was shared with a pharmacist were three to five times more likely to reach A1c control, with better blood pressure control alongside it.

That finding is the thesis of this company. At Scriptify I own the protocol set and supervise every encounter, and my job is to make the result hold at scale: every protocol physician-authored and physician-approved, every escalation routed back to the patient’s own prescriber, every note reviewed and co-signed before it leaves us.

Team

Dr. Jana Attia, RPh.

Chief Pharmacy Officer

I am a registered pharmacist from the Massachusetts College of Pharmacy with a specialized background in pharmacogenomics. Growing up in Toronto, Canada, I was introduced to the world of retail pharmacy through my father’s independent specialized pharmacy. This early exposure inspired my interest in the field, but it wasn’t until my time at MCPHS that I discovered my true passion for marketing and business.

During my third year, I ventured into entrepreneurship by launching one of the most successful cosmetic businesses in Boston. This experience ignited my enthusiasm for marketing, leading me to take on roles promoting a retirement home and a pharmacy startup. These opportunities provided valuable insights into the marketing world and solidified my interest in combining healthcare and business.

Today, I channel my passion through Scriptify, where I help patients and empower pharmacists to take control of their careers and develop their business acumen. My journey reflects a blend of dedication to patient care and a drive for innovation in the pharmacy sector.

Team

Dr. Alem Aminu Osman, MD

Head of Clinical Insights

I am a physician and public-health leader based in Boston. I earned my Bachelor of Medicine and Bachelor of Surgery at Hebei North University in China, graduating as best in my class in 2020, and a Master of Public Health in Global Health from Harvard University, where I completed the Interdisciplinary Public Health Leadership concentration. I hold permanent registration with the Ghana Medical and Dental Council.

I practised across internal medicine, obstetrics and gynaecology, surgery, paediatrics and mental health in Ghana — at Tamale Teaching Hospital, Ghana Police Hospital, Lekma Hospital and Accra Psychiatric Hospital. At Accra Psychiatric I introduced telemedicine for patient follow-up and outpatient attendance rose 15%. At Lekma I ran monthly neonatal mortality audits to turn causes of death into quality improvement. With the Sung Taaba Foundation in Bawku I built a community malnutrition programme that brought incidence from 28% to 9% in nine months, and trained the mothers in it to sell nutrient-rich products for household income.

At the Harvard Health Systems Innovation Lab I coordinate AI-enabled health systems programming, and I led the 2026 HSIL Hackathon, “Building High Value Health Systems: Leveraging AI” — 58 hubs across 41 countries, 14,892 applicants and 1,558 venture teams. I also contribute to the Lancet Commission on Cancer in the Commonwealth, where I led the design of a health systems data observatory consolidating cancer and health system data for researchers and policymakers.

At Scriptify I own evidence, outcomes and protocol review. My job is to make sure what we recommend is what the literature actually supports, and that every protocol holds up when someone asks where a number came from.

Team

Christine Huang

Founding Product Engineer

I am a Master of Engineering student at MIT studying computer science and data analytics, with a background in mathematics, economics, and machine learning.

My research at MIT has spanned economics and healthcare data analysis. Through MIT HEALS, I built Python pipelines to analyze healthcare policy datasets and used statistical modeling to identify patterns in neighborhood health. In economics research, I developed reproducible workflows for large longitudinal datasets. I have also supported MIT’s introductory machine learning course, helping students implement and refine regression, classification, and neural network models.

At Scriptify, I am building data insights and product intelligence using real-world data and evidence. My work will include developing predictive machine learning models to help identify patients who may be eligible for clinical trials, turning clinical data into actionable insights for research and product development.

Team

Dominic Co

Founding Product Engineer

I was a Design Engineer at Amazon, with a background in computer science and architecture. My work there focused on solving complex, real-world problems through scalable systems, data-driven design, and intelligent infrastructure.

At MIT, I built a computer vision pipeline to analyze millions of street-view images, training classifiers and benchmarking models like CLIP and ResNet to map sidewalk-level informal activities for urban analytics. Prior to that, I led the development of a B2B logistics platform in East Africa, owning both the technical architecture and product rollout across multiple East African countries.

Today, I apply this systems mindset at Scriptify, where I’m helping design and build the core platform that powers care coordination between pharmacists, pharmacies, and patients, bridging software, UX, and operational logic to improve healthcare delivery.

Team

Jake Giguere

Data Engineer

I’m a machine learning and full-stack engineer. I hold an M.S. in Computer Science with a concentration in data analytics from Boston University, and a B.S. in Computer Science with a minor in applied mathematics from Wentworth Institute of Technology.

At the Air Force Research Laboratory in Rome, New York, I built reinforcement learning agents on transformer architectures for autonomous decision-making, designed Graph-DQN models that use graph structure to reason about an environment, and wrote the training environments used to evaluate them. Before that I was a machine learning research intern at Wentworth, where I distributed a performance-prediction workload with MPI in C and cut computation time by 40%.

I also lead machine learning at Unearthed Land Technologies, where a team of three of us built a computer vision platform that turns architectural floor plans into structured data — custom YOLO detectors for walls, doors and structural elements, a SegFormer segmentation pipeline with a geometry post-processor, and a Flask inference API, trained on A100 cloud GPUs.

At Scriptify I built the platform end to end: patient enrollment and consent, audio and video visits, remote monitoring device fulfilment and readings, insurance claims submission, and the automated care-coordination reporting that goes back to the prescriber and the pharmacy. I worked alongside our regulatory and accounting advisers so the infrastructure holds up against Stark Law, Anti-Kickback and fraud, waste and abuse requirements.

Team

Nathaniel Kitcher

Product Experience

I studied computer science and game development at Northeastern University’s Khoury College of Computer Sciences in Boston.

I was a software engineering co-op at myRide, where I designed the database schema behind user management and real-time ride tracking, and built and documented the REST APIs that let their mobile and web apps exchange data with the sign-labelling system. Before that I ran Northeastern’s Game Studio Lab, training students on the equipment and supporting their project work in Unity, Unreal and Visual Studio.

Most of what I have built is interactive. A two-on-two couch co-op mech combat game in Unity, built around shared resources and real-time teamwork. An exploding-dodgeball game in Unreal where I wrote the opponent AI that predicted where a player would move and where their throws would land. A plant-care app with automated reminders and a searchable database. And HuskyFlow, a full-stack application I joined as an existing codebase and extended. I also co-founded XAOC, a streetwear label in Accra, and designed its collections and its site.

At Scriptify I am responsible for the product experience — how the platform actually feels to a pharmacist working a panel, and to a patient handed a tablet at the counter. Game development turns out to be good training for it: both are about making a complicated system legible at the moment someone has to act on it.

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