See your realfuture self —before you decide.

PreSur shows patients a realistic outcome of plastic surgery on their own photo. Trained on real, surgeon-verified results — not filters.

4plastic surgeons as founders
17,500+fly-inDOC patients
LiveMVP for tummy tuck
Unedited abdomen photo
What social media showsWhat PreSur shows
Drag to compare. Same photo: a filter smooths, brightens and slims. PreSur shows the likely result.

The problem

Patients decide based on fiction

Most patients form their expectations online, long before they meet a surgeon. What they see there is rarely the typical result.

Filtered

Filters and AI retouching

Smoothed skin, reshaped bodies, generated results.

Best light

Flattering angles

Best light, best pose, best day.

Best case

Curated before/afters

Clinics show their best cases, not the likely one.

Not you

Someone else's body

Patients compare themselves to strangers on Instagram.

The problemThe evidence: images

Patients choose surgery from pictures that lie

97%Vaca et al., Aesthetic Surgery Journal, 2021
25%Facelift photo-quality study, 2025
79%AAFPRS member surveys, 2017 → 2022
#1Online review analysis, PRS Global Open, 2017
3Countries with laws or rulings on retouched ads
97%

of top Instagram before/after posts for facial surgery are biased toward the result.

Different lighting, pose, expression, makeup and hair between the “before” and the “after”.

25%

Only a quarter of 567 facelift before/after posts met high photo-quality standards.

The rest exaggerate the improvement through inconsistent photography.

79%

of facial plastic surgeons now see patients who want to look like their selfies.

Up from 55% in 2017. Filtered faces have become the reference picture.

#1

“Poor aesthetic outcome” is the top reason for negative plastic-surgery reviews.

Named in 49.3% of negative reviews — usually the gap between expectation and result.

3

Regulators are already reacting.

Governments now treat manipulated body images as a consumer-protection problem.

France · labels since 2017Norway · labels since 2022UK · filter ban in cosmetic ads, 2021

The evidence: reviews

Reviews decide who gets the patient

check online reviews before choosing a provider84%
trust reviews more than friends and family61%
read at least six reviews before booking51%
walked away because of negative feedback40%

rater8 patient survey, n = 1,008, December 2024

#1 reason for 1–2 star reviews
R
A typical negative review

“It looked nothing like what I expected. Nobody told me it would look like this.”

Illustrative. Poor aesthetic outcome is named in 49.3% of negative plastic-surgery reviews (PRS Global Open, 2017).

The evidence: risk

Unmet expectations are expensive

48%

of plastic-surgery malpractice claims involved communication breakdowns; 44% involved patient dissatisfaction or behaviour.

The Doctors Company, 1,968 closed claims, 2010–2023

24%

of plastic-surgery lawsuits concerned abdominoplasty; scars and contour drove 48.9% of complaints.

Court-case analysis, Aesthetic Surgery Journal, 2015

26.9%

of breast-surgery claims were driven by dissatisfaction with the cosmetic outcome — the joint first cause.

NHS Resolution claims, England, 2012–2018

Our first procedure, the tummy tuck, is exactly where expectations about scars and contour decide satisfaction.

Why clinics care

False expectations cost clinics every day

An empty clinic waiting room
Every empty chair costs about €250.A consultation that doesn't convert is money the clinic has already spent.
€80–120
Paid leadGoogle and Meta ads bring an enquiry
≈ 1 week
QualificationEmails, questions, photo requests
≈ €250
ConsultationTotal cost to the clinic, all in
45.8%
SurgeryMedian consultation-to-surgery rate

Out of every 100 consultations

46 become surgery54 walk away
€13,500

spent on consultations that never convert, per 100 consultations (54 × €250).

Allergan/BSM conversion study (220 practices, 22,985 consultations); fly-inDOC internal costs.

The solution

PreSur sets true expectations, not beautified ones

The patient uploads a photo, chooses a procedure and sees several realistic post-op versions of their own body. They answer the surgeon's questions in the same flow, and a complete request reaches the clinic.

For patients

A realistic range of outcomes on their own body, before booking a consultation.

For surgeons

Informed patients who arrive with standardised photos and a completed questionnaire.

For clinics

Better conversion, lower cost per qualified patient, less coordinator time.

Why it's different

Trained on real outcomes, not on beauty

Real, verified data

Before/after photos from the fly-inDOC archive, every pair verified by the operating surgeon.

Procedure-specific

A tummy tuck changes only the abdomen, with a realistic incision line. Nothing else gets “improved”.

A range, not a promise

Several plausible post-op versions instead of one idealised image.

Next

Surgeon technique

The model will learn individual surgeons' techniques, so patients can choose a surgeon by result.

Surgeons passing an instrument in theatre
Verified in the operating room.Every before/after pair in our training data is confirmed by the surgeon who performed the operation.
17,500+patients behind the data
10,231multi-zone operations
450operations per surgeon a year
Since 2010fly-inDOC track record

Product

The MVP is live for tummy tuck

Tummy tuck live Liposuction next Breast surgery next Rhinoplasty next
< $0.50cost per generation today
Own modelfine-tuned on foundation models

Value for one clinic

What one clinic gains in a year

€196,000

lower patient-acquisition cost: 2,450 patients via PreSur × €80 saved each (€250 → about €170).

−50%lead-to-consultation time
7 → 3 days

from first enquiry to a booked consultation.

2,450–4,900 h

of coordinator time freed from back-and-forth emails.

Faster “yes”

the surgeon confirms realistic expectations instead of resetting false ones.

Today
≈ 7 days · emails, questions, photo requests
With PreSur
≈ 3 days

The clinic's savings, with your own numbers

lower acquisition cost per year
coordinator time saved per year
total yearly value for the clinic

Illustration based on team estimates, to be validated in the first clinic pilot.

Illustrative mid-size clinic, 3,500 surgeries a year, 70% via PreSur. Team estimates, to be validated in the pilot.

Market and model

A big market, a simple model

17.4M

surgical aesthetic procedures worldwide in 2024

ISAPS Global Survey 2024

+42.5%

growth in aesthetic procedures over four years — and every procedure starts with a patient trying to imagine the result.

ISAPS Global Survey 2024

Now: clinics

Monthly clinic licence

[€__ per month]

  • PreSur preview flow on the clinic's own website
  • Qualified requests with photos and questionnaire
  • Lithuania first, through our surgeons' network

Revenue path

Pricing is not final. The licence value is an illustrative input.

annual recurring revenue
return for the example clinic: yearly savings vs. yearly licence
1

Lithuania

Pilot at fly-inDOC, then clinics through our surgeons' network, conferences and a clinic event.

2

Demand engine

Our marketing team runs social, Google and media campaigns that send patients to partner clinics.

3

Europe

Medical-tourism clinics across the EU, in all EU languages, with the patient marketplace on top.

Why now

The technology, the cost and the pressure all arrived together

Image AI is ready

Fine-tuned image models can now produce a realistic preview for under $0.50.

Patients shop online

84% check reviews before choosing a provider; the decision is made before the first call.

Regulators push honesty

France, Norway and the UK already act against manipulated body images in advertising.

Competition

Nobody shows the likely result

Based onDriven byWhen the patient sees itWhat the patient sees
Social media and clinic before/aftersOther people's best casesMarketingAnytimeSomeone else's body
3D simulators (e.g. Crisalix)3D statistical shape modelsSurgeon, in clinicMostly at the consultationA 3D morph of themselves
PreSurSurgeon-verified real outcomesAI trained with surgeonsBefore the first contactSeveral realistic versions of themselves

Privacy and ethics

Privacy by design, honesty by default

Photos deleted immediately

Uploads are erased as soon as the preview is generated.

Results go to the patient

“After” images are sent to the patient, not kept in the app.

Shared only with consent

A clinic receives data only on the patient's request and becomes responsible for it.

Labelled as AI visualisation

Every image is marked as AI-generated, never as a guarantee of results.

Planned with this round: age verification, content protection and a legal review of GDPR, EU AI Act and medical-device status.

Team

Surgeons who own the data, marketers who fill the funnel

17,500+patients
450operations per surgeon a year
44 yearsof combined expertise
CEOTautvydas Urbonas

Tautvydas Urbonas

Plastic & reconstructive surgeon

500+ surgeries a year, trained in Lille.

  • Residency at Vilnius University Hospital (2010–2015)
  • Training in Lille, France
  • 500+ surgeries a year
Andrius Pajėda

Andrius Pajėda

Plastic & reconstructive surgeon

300+ surgeries a year, Akademikliniken Stockholm.

  • Vilnius University Hospital Santara Clinics
  • Akademikliniken, Stockholm (2015–2016)
  • 300+ surgeries a year
Audrius Pakulis

Audrius Pakulis

Plastic & reconstructive surgeon

Trained in Lithuania and the USA.

  • Trained in Lithuania and the USA
  • ASPS “The Meeting”, 2017 and 2018
  • Member, Lithuanian Wound Healing Association
Ghassan W. Said

Ghassan W. Said

Plastic & reconstructive surgeon

Brazilian Institute of Plastic Surgery, São Paulo.

  • Practice at the Brazilian Institute of Plastic Surgery, São Paulo
  • Trained in Brazil, Lebanon, Italy and Lithuania
  • Member, Lithuanian Society of Plastic and Reconstructive Surgery
Marija Orlovaitė

Marija Orlovaitė

Co-founder, RightNow.lt

Marketing strategist with long experience in medical-sector marketing.

Vainius Gabalis

Vainius Gabalis

Founder, RightNow.lt

Marketing strategist; former head of marketing at Ryterna Modul.

Ignas Mikolaitis

Ignas Mikolaitis

Full-stack & AI engineer

Co-founder of Thunderclap Labs, Kaunas Startup Awards 2025 Newcomer of the Year.

Pijus Balčaitis

Pijus Balčaitis

AI developer

[Short bio]

Traction and the ask

€150k

for 12–24 months of product and team

  • MVP live for tummy tuck
  • Own model trained on surgeon-verified fly-inDOC data
  • €15,000 invested by the team to date

[Instrument: equity / SAFE / convertible — to be agreed]

Use of funds

  1. ML specialists to train and extend the model
  2. Data collection for new procedures
  3. A surgeon dedicated to training quality
  4. Team compensation
Today

MVP for tummy tuck

Own model on verified data.

Next

Patient pilot

Real patients and an accuracy study: preview vs. actual result.

Then

More procedures

Liposuction, breast surgery, rhinoplasty. First paying clinics.

Within 24 months

85–90% coverage

A model for most requested procedures, ready to scale sales.

Vision

In five years, every patient in Europe sees a realistic outcome before choosing a clinic

1

The patient runs a free preview.

2

They see nearby clinics that achieve similar results.

3

They tap “I agree”.

4

A complete request reaches the chosen clinic.

A real, unretouched body
Real bodies. Real outcomes.No filters, no flattering angles — the likely result, shown honestly.
Sources
  1. ISAPS Global Survey on Aesthetic/Cosmetic Procedures, 2024 (published June 2025)
  2. Vaca E.E. et al. Photographic misrepresentation on Instagram after facial cosmetic surgery. Aesthetic Surgery Journal, 2021
  3. Facelift photo quality on social media: prevalence of potentially misleading before-and-after images, 2025 (PubMed 40351156)
  4. AAFPRS annual membership surveys, 2017 and 2022
  5. Norway Marketing Act amendment (in force 2022); France retouched-image labelling law (2017); UK ASA ruling on filters (2021)
  6. rater8, How Patients Choose Their Doctors, survey of 1,008 US adults, December 2024
  7. The Good, the Bad & the Ugly: analysis of online plastic surgery reviews. PRS Global Open, 2017
  8. The Doctors Company, Plastic Surgery Claims Malpractice Risk Review, 1,968 closed claims 2010–2023
  9. Factors influencing judicial decisions on medical disputes in plastic surgery. Aesthetic Surgery Journal, 2015
  10. Litigation in breast surgery: insights from the English NHS, claims 2012–2018
  11. Allergan/BSM Consulting procedure conversion study: 220 practices, 22,985 consultations
  12. flyindoc.com surgeon profiles and images; nordesthetics.com; thunderclaplabs.com; crisalix.com

See your real future self.

You've seen the problem, the product and the numbers. Now see it work.

Try the web app Run a tummy tuck preview yourself on www.presur.com. Open www.presur.com Talk to us [Name] · [phone] [invest@presur.com]