who builds venture-backed healthtech in australia?
a descriptive analysis of 82 founders across 39 australian healthtech companies. 3 in 4 aren't doctors. among those who are, the median years of business experience before founding is zero. a living document, open to corrections and additions.
If you assume that most venture-backed Australian healthtech companies are founded by doctors, you’d be wrong.
3 in 4 founders behind Australia’s most well-funded healthtech companies don’t have a medical degree. They’re engineers, consultants, designers, finance professionals, and PhD researchers. The minority who are doctors skew junior. The ones who built the biggest companies left medicine earliest. And the median years of business experience among doctor-founders before they started? Zero.
I wanted to understand what the career trajectories of venture-backed Australian healthtech founders actually look like. As a GP who made the leap into building a company openly, without the best outcome on paper, I wanted to go back to first principles. This was the question I asked before I even started: given that AI is lowering barriers to entry, does competing at scale require the kind of capital that only venture funding can provide, and if so, what does that path actually look like for someone with a clinical background? Having learned a few things about integration and adoption in healthcare the hard way, I still wanted to know whether I could see myself becoming one of these founders. This analysis is my attempt at a root cause answer to that question.
A note: this analysis is a living document. It focuses on companies that have raised institutional capital, which is one measure of scale but not the only one, and certainly not a measure of success. Some of the most impressive healthtech companies in Australia are bootstrapped, profitable, and have never sought venture funding. This dataset captures a specific slice, not the whole picture. I’m actively seeking corrections, additions, and feedback from founders, investors, and the broader community to make this more complete. If your company should be here, or if I’ve got something wrong, please reach out.
the dataset
I identified Australian-headquartered healthtech companies that had raised A$5 million or more in institutional investment by March 2026, building technology products for clinical or patient-facing healthcare use. Biotech and pharma companies without a technology product were excluded. 1 additional company, OneMRI, was included despite raising less than A$5M. Full disclosure: I know the founders personally and included them because their founder profiles add meaningfully to the analysis.
Company identification used multi-source triangulation across 5 categories: (1) startup databases (Tracxn, Crunchbase), (2) portfolio pages of Australian healthtech investors (Blackbird, Airtree, Square Peg, Main Sequence, Skip Capital, Archangel, Giant Leap, Bailador, Australian Medical Angels), (3) curated industry lists (SmartCompany, Startup Daily, HoloIQ Health Tech 100), (4) ecosystem reports (Innovation Bay, Archangel Ventures), and (5) healthtech accelerator and commercialisation program portfolios (ANDHealth). Companies from any source were cross-referenced against the inclusion criteria.
This yielded 39 companies and 82 unique founders. The companies span doctor booking platforms (HotDoc, HealthEngine), DTC and telehealth (Eucalyptus, InstantScripts, Mosh, Updoc, Hola Health, Midnight Health, Access Telehealth), AI clinical tools (Harrison.ai, Heidi Health, Lyrebird Health, Artrya), digital therapeutics (Mindset Health), preventive health (Everlab, OneMRI), medical devices with technology components (Optain, Vaxxas, Atmo Biosciences, Nutromics, Neurode, Smileyscope, Epiminder), health SaaS (Splose, Coviu, Lumary), care marketplaces (Mable, Kismet), clinical AI (Omniscient Neurotechnology, Lumonus, Prospection), musculoskeletal technology (VALD), VR training (Vantari VR), health data (Big Picture Medical), patient engagement (Perx Health, Human Health), personalised health (HealthMatch), cancer care (Osara Health), and aged care robotics (Andromeda).
All dollar figures are in Australian dollars unless prefixed with US$. Where I reference company outcomes, I distinguish between total capital raised (equity invested into the company), valuation (estimated company worth at a given point), and exit price (acquisition price). These are different metrics and should not be conflated. Diagrams in this article size companies by valuation or exit price. Of the 39 companies, 14 have publicly reported valuations, exit prices, or ASX market capitalisations. The remaining 25 are estimates derived from investor round dilution math, revenue multiples, comparable exits, or third-party data (PitchBook, Bailador ASX disclosures). Estimated valuations are labelled as such in hover tooltips.
For each founder, I extracted data against a structured template: medical degree (MBBS/MD/BMed , where PhD holders without a medical degree were classified as non-medical), specialist training status (completed fellowship with a recognised college like RACP or RACS, not in-training), prior startup experience (founded a prior company that operated for >6 months, regardless of outcome), education, and pre-founding career path. Each variable was verified against a minimum of 2 independent public sources per founder.
doctors vs non-doctors
| Count | % | |
|---|---|---|
| Medical doctors (MBBS/MD/BMed) | 19 | 23% |
| Non-medical (engineering, commerce, PhDs, consulting, law, design) | 63 | 77% |
19 of the 82 founders hold a medical degree. The other 63 include software engineers (Maxim Shklyar at InstantScripts, Ricky Chen at Prospection, Yu Liu at Heidi Health, Kai Van Lieshout at Lyrebird Health from Tesla), finance professionals (Dimitry Tran at Harrison.ai, Waleed Mussa at Heidi Health from Goldman Sachs, Benny Kleist at Eucalyptus from Optiver, Tony Charara at Mable from JPMorgan, David Narunsky at Mosh from Liverpool Partners, Gabe Baker at Mosh from McKinsey and Clifford Chance), product leaders (Georgia Vidler and Kate Lambridis at Human Health from Canva, Clifton Hodgkinson at Updoc from Canva and Uber), consultants (Hugo Rourke at Perx from McKinsey, Eric Chung at Prospection from Accenture, Sam Kothari at Everlab from Kearney and Airwallex), PhD and research scientists (Silvia Pfeiffer at Coviu from CSIRO Data61, Chris Williams at Epiminder from the Bionics Institute), mechatronic engineers (Grace Brown at Andromeda), advertising creatives (Charlie Gearside at Eucalyptus), and a commerce student who started while still at university (Nicholas Sanderson at Splose).
The non-medical majority isn’t a recent shift. It holds across company vintages from 2006 (HealthEngine) through to 2024 (OneMRI). The ratio is remarkably stable: whether you look at 21 companies or 37, the non-medical share stays at 74-76%.
on doctors
Among the 19 doctor-founders, the range of clinical experience is wide. Some are among the most experienced specialists in their fields. Others never practised at all.
Specialists, GPs, and experienced clinicians (13 of 19):
- Prof Mark Cook: neurologist, 30+ years, Director of Clinical Neurosciences at St Vincent’s Melbourne (Epiminder)
- Dr Michael Sughrue: neurosurgeon, 3,000+ brain tumour surgeries (Omniscient Neurotechnology)
- Prof Mingguang He: ophthalmologist, FRANZCO, University of Melbourne (Optain/Eyetelligence)
- Dr Paul Leong: respiratory physician, FRACP, Monash Health (Smileyscope)
- Dr Peter Cronin: ICU physician, 17 years at St George Private Hospital (Prospection)
- Dr Vijay Paul: emergency physician, 10+ years (Vantari VR)
- Dr Nishanth Krishnananthan: surgical doctor, 10+ years in metropolitan and rural hospitals (Vantari VR)
- Dr Raghav Murali-Ganesh: radiation oncologist, completed specialist training at RPA Hospital, serial entrepreneur (5th business). Co-founded Osara Health with Tim Atkins (lawyer, non-medical) (Osara Health)
- Dr Vishnu Gopalan: GP, 25+ years across India, UK, and Australia, founded Spectrum Health to 45 clinics in Western Australia (Hola Health)
- Dr Marcus Tan: GP, FRACGP, practicing in Perth while founding MedLink and Equis Consulting, then took over HealthEngine in 2009 (HealthEngine)
- Dr Asher Freilich: GP, with a circuitous path through law, investment banking at Citigroup and Piper Jaffray, and consulting at A.T. Kearney before returning to clinical practice and founding 3 telehealth companies (InstantScripts)
- Dr Vu Tran: GP, FRACGP, simultaneously co-founded Go1 (which became a $3B unicorn) while practising, then co-founded OneMRI (OneMRI)
- Dr Steven Lu: GP, FRACGP, 15+ years clinical experience across neurosurgery, cardiothoracic surgery, ICU, and psychotherapy (Everlab)
Junior doctors, trainees, and graduates who left early (6 of 19):
- Dr Aengus Tran: completed his MD at UNSW but was still a student when he founded Harrison.ai
- Dr Thomas Kelly: graduated medical school in 2017, entered vascular surgery training, left to build Heidi Health before completing it
- Dr Ben Hurst: MBBS from Melbourne, emergency resident, psychiatry registrar at Port Phillip Prison, left medicine, did an MFA in New York, then founded HotDoc
- Dr Manuri Gunawardena: BMed/MD at UNSW, never practised, went straight to founding HealthMatch
- Dr Evelyn Chan: MBBS Monash, Rhodes Scholar to Oxford, strategy consultant at BCG, paediatric doctor at Royal Children’s Hospital (DCH, not FRACP), then co-founded Smileyscope
- Dr Tom McKinnon: did accounting and investment management for 14 years before studying medicine as a mature student, then practised at NSW Health before founding Big Picture Medical
when they ‘left’ medicine
Among the doctor-founders, there’s a striking relationship between when they left clinical practice and the scale of the company they built.
The largest outcomes belong to founders who left earliest. Heidi Health (A$130M raised, Thomas Kelly, surgical trainee) and Harrison.ai (A$387M raised, Aengus Tran, medical student) are the 2 highest-valued doctor-founded companies. Ben Hurst left psychiatry training and later achieved a PE exit at A$250–300M for HotDoc (A$15M raised). That said, the pattern is not absolute: Omniscient Neurotechnology, founded by Michael Sughrue after 3,000+ brain surgeries, has raised US$133M (A$200M), making it the third highest-valued doctor-founded company in the dataset. The relationship between career stage and company scale holds directionally but has notable exceptions among experienced specialists.
This could reflect opportunity cost. Leaving medicine earlier means more years to compound startup growth. It could also reflect self-selection. Founders with a stronger entrepreneurial drive exit the clinical track sooner. Both are probably true.
business experience prior to founding
For each of the 19 doctor-founders, I mapped how many years of non-medical business, executive, or entrepreneurial experience they had before founding their venture-backed company.
| Founder | Company | Years | What it was |
|---|---|---|---|
| Dr Vu Tran | OneMRI | ~15 | Co-founded Go1 in high school, grew to $3B unicorn |
| Dr Asher Freilich | InstantScripts | ~14 | A.T. Kearney, Citigroup IB, Piper Jaffray, 3 prior telehealth companies |
| Dr Tom McKinnon | Big Picture Medical | ~14 | Accountant (Arthur Andersen), MBA (UBC), Investment Director (Hunter Bay), all before studying medicine |
| Dr Raghav Murali-Ganesh | Osara Health | ~10 | Radiation oncologist, serial entrepreneur (5th business, made money on each prior venture) |
| Dr Peter Cronin | Prospection | ~8 | BTech degree, Loci Medical, medical director roles, MBA, all parallel with ICU |
| Dr Vishnu Gopalan | Hola Health | ~7 | Founded Spectrum Health (45 clinics), healthcare business |
| Dr Thomas Kelly | Heidi Health | ~5 | Fraser’s GAMSAT (co-founded 2014, concurrent with med school) |
| Dr Marcus Tan | HealthEngine | ~3 | MedLink + Equis Consulting, concurrent with GP work |
| Dr Evelyn Chan | Smileyscope | ~2 | BCG strategy consulting |
| Dr Aengus Tran | Harrison.ai | ~1 | Student ticket app, self-taught AI |
| Prof Mark Cook | Epiminder | 0 | 30 years of clinical academic leadership |
| Prof Mingguang He | Optain | 0 | Academic career, University of Melbourne |
| Dr Michael Sughrue | Omniscient | 0 | 15 years of neurosurgery |
| Dr Steven Lu | Everlab | 0 | 15+ years clinical practice |
| Dr Paul Leong | Smileyscope | 0 | Academic respiratory physician |
| Dr Vijay Paul | Vantari VR | 0 | 10 years emergency medicine |
| Dr Nishanth Krishnananthan | Vantari VR | 0 | 10 years surgery |
| Dr Ben Hurst | HotDoc | 0 | MFA in creative writing, not business |
| Dr Manuri Gunawardena | HealthMatch | 0 | Nothing. Med school to founding. |
The average is 4.2 years. The median is zero. 9 of 19 had literally no non-medical business experience. The average is pulled up by 6 outliers: Vu Tran (15 years, Go1 unicorn), Freilich (14 years, banking + telehealth ventures), McKinnon (14 years, finance before medicine), Murali-Ganesh (10 years, serial entrepreneur across 5 ventures), Cronin (8 years, parallel ventures alongside ICU), and Gopalan (7 years, healthcare business).
Remove those 6 and the average for the remaining 13 drops to 0.8 years.
The dominant pattern isn’t “leave medicine, get business experience, then found.” It’s parallel entrepreneurship, or just starting with no experience at all. The majority of doctor-founders in this dataset were still in medical training or active clinical practice when they founded their company.
first-time vs serial founders
| Companies | % | |
|---|---|---|
| All founders first-time | 19 | 49% |
| At least one serial founder | 20 | 51% |
About half the companies were built by people who had never founded a company before. Harrison.ai, Heidi Health, HotDoc, HealthMatch, Perx Health, Splose, Omniscient, Vaxxas, Human Health, Vantari VR, Optain, Mosh, Lumonus, Big Picture Medical, Smileyscope, Neurode, and Andromeda all had founding teams with no prior startup exits.
But “first-time” is a slippery category. Aengus Tran ran a student ticket-selling app for a year before Harrison.ai. Tim Doyle at Eucalyptus was a founding executive at Koala, where he helped scale a mattress company past $100M in revenue. Thomas Kelly had been co-running Fraser’s GAMSAT and doing product and growth work at Fraser’s GAMSAT alongside his medical training since 2014.
The serial founders brought a wide range of prior experience. Dr Asher Freilich had founded Phonemed, Access Telehealth, and myDr Go before InstantScripts. Maxim Shklyar had built roughly 10 startups. The Kismet team of 5 had all come from Xplor, a childcare management SaaS they’d built and sold to Advent International for ~$100M. Marc Hermann at Everlab had previously co-founded Foodspring ok in Germany (acquired by Mars). Dr Vu Tran at OneMRI had co-founded Go1, which achieved a $3B valuation. Peter Vranes at Nutromics had founded 3 prior skincare and biotech companies. Mark Woodland at Kismet, Nic Blair at Midnight Health, Peter Scutt at Mable. All serial founders applying proven playbooks to healthcare.
healthcare experience is near-universal
81% of companies had at least one founder with prior healthcare, medical, or health research experience. The exceptions include Eucalyptus (DTC marketing team from Koala), Mosh (commerce grad + corporate lawyer from Bondi), Updoc (ex-Uber and Canva product managers), Midnight Health (digital marketing), Splose (commerce student), Perx Health (finance and consulting), and Human Health (Canva product leaders).
The companies without healthcare experience tend to build more commoditised plays: DTC telehealth brands, allied health SaaS, prescription platforms. The clinical tool companies (Harrison.ai, Heidi Health, Lyrebird Health, Optain, Lumonus, Epiminder, Omniscient) universally have founders with deep clinical or research domain expertise.
5 career trajectory patterns
When you map the pre-founding careers, 5 archetypes across the 39 companies. Some companies have characteristics of more than one pattern, but each is classified by its primary founding trajectory.
The frustrated clinician (11 companies). A doctor encounters a systemic problem in healthcare delivery, identifies that technology could solve it, and builds the company. Thomas Kelly saw administrative burden crushing clinicians. Ben Hurst saw patients couldn’t book appointments online. Marcus Tan saw the same problem in Perth. Manuri Gunawardena saw cancer patients couldn’t find clinical trials. Asher Freilich saw rural and aged care communities cut off from specialists. Aengus Tran saw that AI could improve IVF embryo selection. Vijay Paul and Nishanth Krishnananthan saw how poorly procedural training prepared clinicians for real emergencies. Evelyn Chan and Paul Leong saw children suffering unnecessary pain and anxiety during needle procedures. The common thread: clinical experience generated the founding insight, but the company was often built by pairing that insight with a technical or business co-founder.
The academic spin-out (7 companies). A researcher develops technology in a university or government lab, then spins it out into a venture. Mark Cook and Chris Williams commercialised decades of epilepsy research from the University of Melbourne and the Bionics Institute through Epiminder, which received FDA De Novo authorisation and listed on the ASX in 2025. Silvia Pfeiffer spun Coviu out of CSIRO’s Data61. Mark Kendall spun Vaxxas out of the University of Queensland. Mingguang He commercialised a decade of retinal imaging research at the University of Melbourne through Optain. Malcolm Hebblewhite commercialised RMIT’s gas-sensing capsule through Planet Innovation into Atmo Biosciences. Laurie Malone and Sam James built VALD on technology licensed from QUT. These companies tend to have strong IP moats but face the university-to-commercial translation challenge.
The outsider operator (14 companies). Non-healthcare professionals apply consumer tech, DTC, product, or marketplace business models to healthcare. At Eucalyptus, 3 of 4 co-founders came from Koala. Georgia Vidler and Kate Lambridis at Human Health brought their product leadership from Canva. The Kismet team of 5 applied their Xplor childcare software playbook to NDIS care. David Narunsky and Gabe Baker at Mosh took the Hims & Hers model and built it for Australian men from a Bondi flat. Dylan Coyne and Clifton Hodgkinson at Updoc came from Uber and Canva. Alex and Chris Naoumidis at Mindset Health pivoted from a dress-sharing app to digital therapeutics. Kai Van Lieshout and Linus Talacko at Lyrebird Health were university students who met at a Startmate hackathon. Nic Blair brought digital marketing from Search Factory to Midnight Health. Peter Scutt applied marketplace mechanics to aged care at Mable. Nicholas Sanderson built allied health SaaS as a commerce student. Joe Mercorella and Matthew English at Lumary built Salesforce integrations for SA Health before pivoting into NDIS workflow SaaS. Grace Brown at Andromeda was a mechatronic engineering graduate from the University of Melbourne who built an AI companion robot for aged care. John Barrington and John Konstantopoulos at Artrya came from management consulting and IBM to build AI cardiac imaging. These founders bring execution speed and consumer sensibility but limited clinical depth.
The finance-to-healthcare pivot (4 companies). Professionals from finance, consulting, or private equity leverage analytical skills and healthcare-adjacent experience. Scott Taylor and Hugo Rourke came from Macquarie Capital and McKinsey to found Perx Health. Dimitry Tran combined Bond University finance with his Head of Innovation role at Ramsay Health Care to co-found Harrison.ai. Eric Chung moved from Accenture through an MBA to founding Prospection. Keith Hansen spent 15 years in strategy and corporate development at GenesisCare before spinning out Lumonus.
The specialist building deep-tech (1 company). An experienced specialist clinician with decades of domain expertise builds clinical technology at the subspecialty frontier. Michael Sughrue (3,000+ brain surgeries) built Omniscient Neurotechnology. This category is small because most specialist-founded companies in the dataset are better classified by their primary founding mechanism (academic spin-out for Cook’s Epiminder and He’s Optain, frustrated clinician for Smileyscope and Vantari VR). But the archetype is distinct: a deep specialist whose clinical volume and pattern recognition drives the product vision.
the doctor + non-doctor pairing
1 pattern cuts across almost every high-performing company: a medical co-founder paired with a technical or business co-founder.
Harrison.ai: Aengus (doctor, AI engineer) + Dimitry (finance/MBA, Ramsay Health Care). Heidi Health: Thomas Kelly (surgeon) + Waleed Mussa (Goldman Sachs, law) + Yu Liu (mechatronics, IBM). InstantScripts: Asher Freilich (GP, investment banking) + Maxim Shklyar (developer). Epiminder: Mark Cook (neurologist, 30+ years) + Chris Williams (biomedical engineer, Bionics Institute). Prospection: Peter Cronin (ICU doctor) + Eric Chung (engineer) + Ricky Chen (developer). HealthEngine: Marcus Tan (GP) + Adam Yap (law/commerce, self-taught programmer) + Darius Wey (computer science, Microsoft). Hola Health: Vishnu Gopalan (GP) + Lenin Rajendran (BHP engineer) + Thiru Rajendran (IT). Optain: Mingguang He (ophthalmologist) + Jason Sun (pharmacy, MedTech commercialisation). Vantari VR: Vijay Paul (emergency physician) + Nishanth Krishnananthan (surgeon) + Daniel Paull (30 years VR/AR/AI). Osara Health: Raghav Murali-Ganesh (radiation oncologist, serial entrepreneur) + Tim Atkins (lawyer).
The complementary pairing appears to be the strongest configuration. The doctor provides domain insight, clinical credibility, and regulatory understanding. The non-doctor provides business model thinking, technical execution, and the instinct to build for scale rather than clinical completeness.
disclaimer
This is 39 companies and 82 founders. The dataset has survivorship bias in that it only captures founders who successfully raised institutional capital, not the many who tried and failed. The search methodology may also skew toward companies and founders with higher media visibility, which could introduce gender and other biases. Gender representation is thin, with 10 female founders in the dataset (~12%), which likely reflects both systemic barriers in healthtech venture funding and potential gaps in the search methodology. This warrants dedicated investigation and I welcome additions of companies I may have missed, particularly those led by underrepresented founders.
The “largest outcomes” observation is more nuanced than it first appears. While the top 2 doctor-founded companies were built by junior doctors (Heidi Health A$130M raised, Harrison.ai A$387M raised), the third was built by one of the most experienced neurosurgeons in the world (Omniscient, US$133M raised). Among non-doctor-founded companies, both platform plays (Eucalyptus A$150M raised) and deep-tech companies (Vaxxas A$300M raised, VALD A$36M raised) have achieved large outcomes. The pattern holds directionally but is not a rule.
And career trajectory data tells you about correlation, not causation. The patterns here describe what successful Australian healthtech founders tend to look like. They don’t prescribe what an aspiring founder should do.
now what?
The typical venture-backed Australian healthtech founder is more likely to be an engineer or business professional than a doctor. If they are a doctor, the median years of business experience before founding is zero. Most were still in training or practice when they started. About half the companies are first-time founder teams, though most had some adjacent entrepreneurial exposure. 4 in 5 had prior healthcare experience of some kind.
The most consistent pattern is pairing someone with deep domain insight alongside someone who can build and scale. The founders who bridged both worlds themselves, like Aengus Tran, who was both a doctor and a ranked AI engineer, or Thomas Kelly, who combined surgical training with product and AI experience from Fraser’s GAMSAT, are rare and tend to build the most defensible companies.
The ecosystem is still young enough that the patterns are provisional. But for anyone building in, investing in, or thinking about Australian healthtech, these are the trajectories worth studying.