A clinical neurotherapeutics company building the platform, proprietary neurotechnology, and AI-driven protocols to make intensive neurological restoration accessible at scale.
MindForge is a clinical neurotherapeutics company launching in Dallas, Texas in 2026. We combine proprietary neurotechnology, AI-personalized clinical protocols, and an integrated three-pillar care model to deliver measurable neurological outcomes for patients with conditions the conventional healthcare system has failed to resolve — post-concussion syndrome, POTS/dysautonomia, vestibular migraine, movement disorders, ADHD, TBI, and neurodegenerative conditions.
The company operates at the intersection of clinical neuroscience, health technology, and AI. Our core thesis: the tools to restore and strengthen neurological function exist today, but they are siloed across disciplines, constrained by insurance economics, and inaccessible to most patients. MindForge integrates them into a single outcomes-driven model — and is building the AI-powered clinical platform to scale that model far beyond what any single clinic can reach.
To restore, strengthen, and sustain brain function across a lifetime — so more people, more of the time, live with the clarity, capacity, and quality of life a well-functioning brain makes possible.
Combine proprietary neurotechnology, AI-personalized clinical protocols, and an integrated three-pillar care model to deliver measurable outcomes across every stage of the brain's arc: recovery, performance, and longevity. Build the platform, clinical algorithms, and continuous-access model that carry intensive and ongoing neurological care from a premium clinical beachhead into the lives of millions.
We are launching as a premium direct-pay clinical practice — the intensive program funds the development of the AI protocol engine, the outcomes library, and the eventual payer-coverage and licensing pathways that democratize access. This is deliberate premium-to-access sequencing: categories that eventually become standard of care almost always launch at the top of the market and expand as technology, data, and unit economics mature.
MindForge operates in a market with strong structural tailwinds: the neurological rehabilitation market exceeds $15B in the U.S. alone; post-COVID POTS diagnoses have surged 16x since 2020; and there is zero dedicated dysautonomia specialist competition in the Dallas-Fort Worth metroplex — a metro of 8M+ people. Our beachhead conditions (POTS, vestibular migraine, concussion) were selected using a proprietary Care-Seeking × Cash-Pay Propensity scoring model that identifies the indications with the highest patient acquisition efficiency and deepest competitive gaps.
MindForge is led by a founder-engineer with deep domain expertise in the business of clinical neuroscience, a dedicated technology team, a multidisciplinary clinical staff, and an advisory board spanning academic neuroscience, emergency medicine, longevity medicine, and medical device engineering. The founder is the CEO and engineer — not a clinician. All clinical care is delivered by licensed providers.
Engineer and operator who identified the gap between available neuroscience evidence and how neurological care is actually delivered. Designed MindForge's proprietary technology (EVA Robot, MARC Chair), clinical operating model, and AI protocol architecture. Responsible for strategy, technology development, and business operations. Previously founded and scaled a multi-location clinical neuroscience practice.
Leads development of MindForge's AI protocol engine, clinical decision-support systems, and data infrastructure. Responsible for the software layer that translates clinical assessment data into personalized treatment protocols and powers the outcomes data platform.
Board-certified functional neurologist who serves as the lead clinical architect. Designs and oversees all intensive neurotherapy protocols, diagnostic interpretation, and clinical quality. Responsible for treatment planning across the 22-condition scope.
Board-certified Neurologic Clinical Specialist (NCS) and Doctor of Physical Therapy. Directs the neurological rehabilitation and clinical exercise pillars, manages vestibular and balance rehabilitation protocols, and leads neuro-targeted exercise programming across the three-pillar model.
Nurse Practitioner specializing in functional medicine. Delivers metabolic, autonomic, and gut-brain-axis assessment and management supporting neurological outcomes. Leads the functional medicine pillar across both intensive-integrated and standalone patient pathways.
Provides medical oversight, prescriptive authority, and serves as the bridge into the physician referral network. Ensures regulatory compliance and clinical governance across all three pillars of care.
MindForge is guided by a medical and scientific advisory board with deep institutional reach. The company is currently in stealth mode; select advisors are listed below.
Chair of Medical Information Systems at Brandenburg University of Technology and co-founder of EyeSeeCam, a leading oculomotor and vestibular measurement platform used in clinical research worldwide. Advises on diagnostic hardware, sensor integration, and clinical measurement systems.
Division Chief of Pediatric Neurology at a top-five U.S. children's hospital and major academic medical center in the Dallas–Fort Worth region. Leads the institution's Neurosciences Center and serves on the faculty of its affiliated research institute. Advises on clinical protocol design, pediatric neurological indications, and academic partnership strategy.
Practicing emergency medicine physician. Advises on acute neurological presentation pathways, concussion and TBI triage protocols, and integration with emergency department referral workflows.
Physician specializing in longevity and functional medicine. Advises on the metabolic and autonomic dimensions of neurological care, gut-brain-axis integration, and the functional medicine pillar's clinical protocols.
Senior executive at a leading academic health system in Dallas–Fort Worth. Advises on institutional partnership strategy, payer-coverage pathways, and health system integration for MindForge's clinical model.
The team is structured to combine entrepreneurial speed with clinical rigor. The founder and technology team drive platform development, AI, and business model innovation; the clinical team owns patient outcomes and evidence integrity; and the advisory board provides institutional credibility, academic reach, and domain-specific expertise that would take years to build organically. This structure is deliberate — it ensures clinical decisions are never subordinated to commercial pressure while the technology scales faster than any single-clinician model could achieve.
MindForge integrates three pillars of neurological care under one clinical roof — a structure absent from every competitor in our market. Each pillar reinforces the others; for conditions like POTS and vestibular migraine, patients who engage two or three pillars achieve measurably better outcomes than any single modality alone.
Five-day, 15-hour immersive neurological rehabilitation programs built on proprietary technology and individualized AI-driven protocols. The clinical core of MindForge.
Metabolic, autonomic, and gut-brain-axis assessment that supports neurological outcomes. Integrated into intensives and available as a standalone service.
Medically supervised, neuro-targeted conditioning for brain health, injury recovery, and performance. First-line care for POTS (Levine Protocol) and vestibular migraine.
MindForge's technology thesis is that AI can transform neurological care from an art practiced by individual clinicians into a scalable, data-driven discipline. We are building three layers of proprietary technology:
EVA Vestibular Robot (7-axis vestibular rehabilitation assistant; amplitude SD 0.53° vs. human therapist SD 2.26–2.95°; peer-reviewed validation, Carrick et al., 2016) and MARC Multi-Axis Rotational Chair for precision diagnostic and therapeutic vestibular stimulation. Eight patents covering hardware and AI protocol systems.
A clinical decision-support system that maps each patient's neurological assessment data — oculomotor metrics, posturography, VNG, qEEG, HRV, labs — to an individualized treatment protocol. The AI synthesizes best-available evidence across modalities and adapts in real time based on patient response. This is the platform layer that enables scaling beyond a single-clinician model.
Structured collection of pre/post objective biomarker data across every patient and condition. Powers the AI protocol engine's learning loop, enables publication of clinical case series in peer-reviewed venues, and builds the evidence base for eventual payer coverage and licensing.
Current stage: Pre-launch — entering clinical operations in 2026
The proprietary hardware (EVA Robot, MARC Chair) is built, patented, and peer-reviewed. The AI protocol engine is in active development, with the initial clinical decision-support layer operational and training on assessment data. Clinical operations launch in 2026 from a Galleria-corridor location in Dallas. The outcomes data platform will begin collecting structured data from Day 1 of patient intake, with the first case-series publication targeted within six to nine months of launch.
How Google Cloud AI credits would accelerate our mission: Google Cloud infrastructure would directly power the AI protocol engine — enabling faster model training on clinical assessment data, scaling the computational demands of real-time protocol personalization, and supporting the data pipeline that connects patient outcomes to protocol refinement. As our patient volume grows, the AI layer becomes the mechanism by which one clinic's clinical expertise scales into a platform that serves millions. Cloud AI credits reduce the timeline from premium beachhead to population-scale access.