Video-AI-based functional assessment
Objective measurement of how patients move.
TinyMoves helps neurorehab teams quantify motor change from research-grade video — starting with stroke recovery, Parkinson's, and pediatric developmental milestones — enabling clinician review, evidence generation, and low-friction deployment.
How it works
From functional assessment to clinician-reviewable measurements
Designed to fit existing visits and at-home follow-up without dedicated motion-capture hardware.
Record
Capture a short, standardized movement task on a supported phone or tablet, in clinic or at home.
Measure
The pipeline extracts kinematic features and prepares privacy-controlled measurement outputs.
Review
Clinicians review structured measurements over time to inform assessment and research workflows.
Capture can fit into real life: a patient at home, a caregiver nearby, or a child's parent.
Why TinyMoves
Built like a study. Designed for the clinic.
Objective by design
Repeatable quantitative measures add context to episodic clinical observation.
Fits existing workflows
Designed around familiar devices, short tasks, and clinician review.
Privacy-controlled
Access control, auditability, and retention settings are designed for deployment-specific clinical policies.
Explainable outputs
Movement measures are visible, inspectable, and longitudinal rather than reduced to a standalone verdict.
Evidence-led roadmap
Validation, usability, and regulatory planning are built into the product path before stronger clinical claims.
Built to expand
One functional assessment workflow can support adjacent movement conditions as real-world evidence base grows.
Platform
From consumer device to measurements clinicians can review
A short functional assessment is captured on a phone or tablet, at home or in clinic. TinyMoves turns the video into structured motor measurements organized by patient and visit for ongoing clinician review.
Scaling across care
One video workflow, expanding by indication
The first focus is neurorehabilitation, where clinicians need practical ways to quantify recovery between visits. Research and biopharma collaborations can build on the same measurement workflow as the evidence base grows.
Stroke, Parkinson's, and Cerebral Palsy
Recovery tracking, follow-up, and measurement-backed functional assessments of daily living.
Pharmaceutical and Device Trials
Motor endpoints, therapy-response, mechanistic modeling, and longitudinal measurement.
Remote Functional Monitoring
Aging, healthspan, and performance research, scaling with demographic representation and evidence base.
Team
Clinicians, scientists, and serial entrepreneurs
Built by operators across the integration gap — MedTech engineering, clinical neuroscience, AI/ML, functional assessment, FDA regulatory, and commercial translation — building movement measurement that is prospectively validated.
Shobi Ahmed, MD, PhD
CEO & FounderPhysician-scientist and neuro-AI venture studio founder, trained at Johns Hopkins, Yale, MIT, and Harvard.
#1 on the BrainClinics Biomarker Challenge, beating dozens of industry and academic teams · APA Innovation Award · Historian-anthropologist · MAPFRE Social Innovation Award · SXSW Pitch finalist · AARP AgeTech finalist · Endless Frontier Labs · PharmStars · MIT/NIDA venture fellow · Advanced pipelines at nference (AI-driven target ID) and Biohaven Pharma · Founding Director of Clinical & Scientific Operations at Transcend Therapeutics, development strategy and patent portfolio for a neuroplastogen/PTSD asset acquired by Otsuka for $1.2B.
Konrad Kording, PhD
SAB Chair & FounderPioneer of video-based movement measurement and Penn neuro-AI professor with 35,000+ citations.
Inaugural Nathan Francis Mossell University Professor at Penn, across Bioengineering, Neuroscience, and Computer Science · Director of CIFAR Learning in Machines & Brains · ETH Zurich physics PhD and former Heisenberg Fellow at MIT · Wrote the field-defining case for movement-specific pose tracking · Creator of a top-five motion-labs consortium and global research institutions · $15M+ in NIH-funded neuromotor research relevant to TinyMoves · Co-founder of Neuromatch Academy.
Olivier Delrieu, MD, MBA
Chief Medical OfficerNeurologist and clinical-AI entrepreneur, ex-GlaxoSmithKline executive with numerous FDA/EMA approvals.
Board-certified neurologist with 20+ years across big pharma, biotech, and digital health · At GlaxoSmithKline, helped win EU approval and launch of ropinirole XR for Parkinson’s (Gold Award for regulatory presentation) · Designed a Phase II Alzheimer’s protocol that earned positive EMEA scientific advice and presented to a joint FDA–EMA–PMDA panel · Founded and exited Adorial (acquired by C4X Discovery), inventing a proprietary genomic analytics engine.
Ben Wensley-Stock, MPhil
Chief Technology OfficerMedical-device regulatory executive with world-first video-AI “Software as Medical Device” FDA clearance.
Drove the world-first Software as Medical Device approval for camera-based vital-sign monitoring at Oxehealth, an Oxford University spinout · Chief Technology Officer at Syntrillo, an AI stroke-prevention platform · Expert in Residence for Medical Devices at the University of Oxford · Has led regulatory across six venture-backed companies, spanning ISO 13485 quality systems, CE marking, and FDA clearance · Device “Responsible Person” and Importer under U.K. MDR, EC-REP · Exited Oxehealth (now LIO Health).
Eric Zhang
Founding Platform EngineerFull-stack engineer with 8+ years experience, building the capture, analysis, and EHR-integrated video-AI pipeline.
Architecting the full cloud infrastructure for TinyMoves' HIPAA-aware clinical movement-analysis platform · Built CI/CD pipelines and multi-tenant architecture with cross-tenant data isolation · Integrated modern vision and video models into the movement-analysis pipeline with GPU cost optimization · Led security-vulnerability remediation with contribution to ISO 13485 / IEC 62304 regulatory documentation · 8+ years across SaaS, real-time systems, and applied AI, including agentic LLM workflows at Virtual Hatch and real-time marketplace platforms · B.Sc. in Information & Communication Technology, Singapore University.
Karim El Kanbi, PhD
Head of AI/ML Data EngineeringProduction AI engineer architecting neural- and movement-biomarker pipelines from raw signal to deployed inference.
ESPCI Paris-PSL PhD in Neurobiology and Behavior, with deep multimodal and sleep-physiology research · former Head of Data at INBRAIN Neuroelectronics and Senior Data Scientist at Dreem, designing deep-learning models for polysomnography event detection on large clinical and preclinical animal datasets · École Centrale Paris engineer fluent across signal processing, deep learning, and production MLOps · co-architect of the TinyMoves video-analysis platform, owning the path from neural and movement signals through to scalable deployed inference.
Maxpol Le Brun, MS
VP Platform EngineeringNeurotech platform engineer with 10+ years spanning biosignal hardware-software and embedded systems.
École Centrale Paris engineer who helped bring the Dreem sleep-physiology headband from prototype to shipped and FDA-cleared neurotechnology, working across embedded firmware, signal acquisition, and product · a decade building neuro-AI systems end to end — capture hardware, data infrastructure, and the analytics layer on top · co-architect of the TinyMoves clinical platform, driving reliability, deployment, and developer velocity across the full stack.
Mark Hiatt, MD, MBA
Chief Business OfficerPhysician-executive who turns clinical evidence into payer coverage across precision medicine and diagnostics.
Physician-executive who has led market access, medical affairs, and health economics across precision medicine and diagnostics · Senior Vice President of Market Access and Strategy at BostonGene · former Vice President of Medical Affairs at Guardant Health, Executive Medical Director at Regence BlueCross BlueShield, and Chief Medical Officer at HealthHelp · MD and MBA from Wake Forest, master's in health evaluation sciences from the University of Virginia, and a cardiovascular imaging fellowship at Stanford · Founder of Hiatt Advisory Services, advising health-technology companies on coverage and reimbursement.
Laura Prosser, PT, PhD
Clinical Advisor · CHOP / PennCHOP/Penn clinician-scientist in pediatric motor development and neurorehabilitation.
Professor of Pediatrics at the University of Pennsylvania and research scientist at the Children's Hospital of Philadelphia · NIH Principal Investigator leading the iMOVE trial on altering motor-development trajectories in toddlers with cerebral palsy · $15M+ in NIH-funded neuromotor research relevant to TinyMoves · Leads the PANDA and PLAY projects, building large video and sensor datasets of infant movement · Co-author with Konrad Kording on video-based motion tracking for early cerebral palsy risk · Contributor to the motor measures of the NIH Baby Toolbox.
Simon Little, MD, PhD
Clinical Advisor · UCSFUCSF movement-disorders neurologist working on adaptive neurostimulation and Parkinson's care.
Associate Professor of Neurology at UCSF and member of the Weill Institute for Neurosciences · Oxford PhD under Peter Brown · Pioneer of adaptive, closed-loop deep brain stimulation for Parkinson's — work underpinning one of the first adaptive DBS algorithms cleared by the FDA in 2025 · Published in Nature Communications on real-time, machine-learning-driven neurostimulation.
Melanie Segado, PhD
AI/ML Advisor · UPennUPenn neuromotor science and AI/ML researcher working on pediatric video-based movement modeling.
Applied AI researcher in Konrad Kording's lab at the University of Pennsylvania · McGill PhD in neuroscience · Lead author on the open, pre-registered pipeline for early cerebral palsy risk assessment from infant video, published in GigaScience · Works on self-supervised movement foundation models and multimodal AI — vision transformers and large language models — for clinical movement analysis.
Tyler Moore, PhD
AI/ML Advisor · UPennUPenn professor of statistical machine learning, focused on multimodal measurement of brain and behavior.
Professor at the University of Pennsylvania, with 14,000+ citations across psychometrics and quantitative neuroscience · Specialist in item response theory, factor analysis, and adaptive testing in the Brain Behavior Laboratory · Served as quantitative lead on the cognitive arm of NASA's landmark Twins Study, published in Science, comparing one identical twin through year-long spaceflight against his genetically matched twin on Earth · His work on cognition as a precise, longitudinal biomarker converges directly with TinyMoves' movement measurement.
Clarity for clinicians
Common questions
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