Starting with physiotherapy.
PhysioAI is building an AI-native clinical intelligence platform for how physiotherapists learn, reason, and practice — from exam preparation to clinical workflow.
The problem
Millions of physiotherapists are expected to continuously learn, reason through complex cases, prepare for licensing exams, document care, and make clinical decisions — yet the software supporting them is fragmented.
Forget
Exam
Memorize
Learn
Fragmented tools. Broken loop. The learner falls out after the exam.
Improve
Measure
Practice
Reason
Learn
One continuous loop from education to clinical workflow.
What we are actually building
PhysioAI is building infrastructure that understands physiotherapy concepts, relationships, clinical reasoning, exam blueprints, patient workflows, and learning behaviour.
The moat
simply do this?Because the product isn't the model. The moat is the system around the model.
Model
Answers
Prompts
Chat
Generic
Professional lifecycle
Student → clinician → clinic
Learner memory
Longitudinal progress model
Structured interactions
Cases → decisions → feedback
Reasoning layer
Assessments + clinical pathways
Vertical knowledge
Physiotherapy protocols
Generic AI knows the answer. PhysioAI knows the learner.
Clinical knowledge graph
0+
Clinical knowledge nodes
Axon turns physiotherapy knowledge into structured infrastructure: the layer that makes clinical AI defensible, compounding, and hard to copy.
The flywheel
Students
More users learning
Reasoning
How PTs decide
Clinicians
Praxis gets smarter
Clinics
Real clinical workflows
Data
Know the profession
The more physiotherapists we serve, the better we understand how physiotherapy should be taught.
One engine. Many markets.
PhysioAI already covers core physiotherapy exam markets across the US, Canada, UAE, India, and Australia.
Already covered
NPTE
United States
CPTE
Canada
DHA + HAAD
UAE
India · PG
India
ACPC
Australia
Traction
Public traction signal
3x
monthly signup growth
growth
Recent
majority of growth
Active
cohorts returning
Organic
$0 paid acquisition
Who is coming?
August 2026 cohort · n = 453
Practicing physiotherapists
236 · 52.1%
BPT students
134 · 29.6%
Interns
51 · 11.3%
Faculty / educators
32 · 7.1%
0 / 453
Plan an exam within 6 months
0 / 453
Plan an exam within 1 month
PhysioAI internal data. We're acquiring users at the beginning of their professional journey — including practicing clinicians.
Early evidence of expansion
$0
paid acquisition
Pull is organic. Growth is not being bought.
Education is pulling us into clinical workflow.
Validation
Product
Shipped
33K+ MCQs
Exam
Validated
97.9% match
Markets
Covered
NPTE · CPTE · DHA
33K+
MCQs
460K+
Nodes
97.9%
Match
$0
Paid spend
The opportunity
Now
Physiotherapy
2.1M+ professionals
Next
Education + exams
140K+ new graduates / year
Then
Practice OS
4,200+ education programs
Later
Broader rehab
129 countries & territories
Company deck figures; methodology differs from World Physiotherapy membership statistics. World Physiotherapy's 2026 annual review describes 129 member organisations representing more than 600,000 physiotherapists — a membership count, not a workforce census.
Market sizing
TAM represents the broader professional ecosystem. SAM narrows to software and education categories PhysioAI can serve. SOM is a bottom-up operating opportunity based on current distribution, product expansion, and management targets.
TAM
$64.8B
2025 global services
$111.2B projected by 2034
The broader physiotherapy services ecosystem. This is the profession PhysioAI serves, not the market we claim to capture.
SAM
$1.52B + $2.73B
software wedges
PT software + PT/rehab EHR
Shown as separate software and rehab EHR definitions. We keep overlapping categories separate and never double-count them.
SOM
18-36 mo.
reachable operating segment
Operating goal, not modeled monetization
Bottom-up view based on organic acquisition, licensing markets, lifecycle expansion, and pilot distribution.
External market research: Fortune Business Insights (physiotherapy services; AI in healthcare); Grand View Research (physical therapy software; physical therapy & rehabilitation EHR). Different firms use different methodologies — figures are shown separately, never blended. SAM/SOM are analytical constructs, not published market figures.
Technology context
External market research
AI in healthcare
$39.3B
2025
The broader technology market context — not PhysioAI's TAM. PhysioAI is a vertical clinical AI company inside it.
AI in healthcare
Clinical AI
Rehab / physiotherapy AI
vertical clinical AI
External market research. One source shown; research firms differ — figures are never combined.
The second market
Market definition 1 · External research
Physical therapy software
$1.52B
2025 · → ~$3.89B by 2035 · ~9.9% CAGR
Market definition 2 · External research
Physical therapy & rehabilitation EHR
$2.73B
2025 · → ~$4.00B by 2033 · ~5% CAGR
PhysioAI EMR
Entering a growing software category through an already-acquired clinician audience — with live pilots and $0 spent on acquisition.
External market research. These markets overlap conceptually and are shown as separate definitions — never added together.
Market architecture
shared clinical intelligence layer
Prep Hub
exam prep
NPTE · CPTE · DHA · HAAD · India PG
Praxis
clinical reasoning
cases · assessments · decisions
Axon
knowledge graph
protocols · concepts · relationships
Clinic OS
practice workflow
EMR · notes · documentation
One foundation, four product surfaces.
The team
Co-Founder & CEO
Physiotherapist → Engineer · Product builder
Physiotherapist turned self-taught engineer. Holds a physiotherapy degree and a filmmaking diploma from NYU Tisch.
LinkedIn
Co-Founder & CFO
MPT Musculoskeletal & Sports · Licensed PT, New York & Dubai
Master's in Musculoskeletal & Sports Physiotherapy. Licensed Physical Therapist in New York and Dubai.
LinkedInThe vision
Today, we help physiotherapists learn.
Next, we help them think.
Then, we help them practice.
Our ambition is to build the intelligence infrastructure for the world's physiotherapists — from the first exam they take to the patients they treat throughout their careers.
The next chapter
Pre-seed • 2026
We're looking for a small number of aligned investors who believe healthcare education and clinical software will be transformed by AI — and that physiotherapy is an unusually attractive place to build that future.
Start a conversationsupport@physioai.in — every serious enquiry gets a reply.
FAQ
PhysioAI is building the AI-native clinical intelligence layer for physiotherapy — from licensing exam preparation (NPTE, CPTE, DHA, India PG) to clinical workflow with Clinic OS. The platform combines 33,000+ MCQs with Axon, a 460,000+ node physiotherapy knowledge graph.
PhysioAI was founded by Maitreya Hiware (Co-Founder & CEO, physiotherapist turned engineer who built the Axon knowledge graph) and Dr. Prem Shah (Co-Founder, MPT Musculoskeletal & Sports, licensed PT in New York and Dubai, founder of the 75,000+ clinician Physiotrendz community).
PhysioAI is growing 3x month-on-month on $0 paid acquisition, with 33K+ MCQs shipped, 97.9% exam-match validation, 460K+ Axon nodes, coverage across NPTE, CPTE, DHA and India PG markets, and live Clinic OS pilots pulling education users into clinical workflow.
PhysioAI is raising its pre-seed round in 2026 and is speaking with a small number of aligned investors who believe AI will transform healthcare education and clinical software, starting with physiotherapy. Serious enquiries: support@physioai.in.
Generic AI knows the answer; PhysioAI knows the learner. It adds longitudinal learner memory, structured cases to decisions to feedback, a clinical reasoning layer called Praxis, and vertical physiotherapy protocols — one continuous loop from learn to license to reason to practice.
Founders: Maitreya Hiware (Co-Founder & CEO) and Dr. Prem Shah (Co-Founder) — support@physioai.in.
Sources & methodology
PhysioAI internal data
External market research
Official licensing sources
LearnLicenseReasonPracticeClinic
We're building it now.
Talk to the founderssupport@physioai.in