DocGPT
DocGPT™
Why DocGPTHow it WorksPricingSecurityPrivacy ArchitectureMission
DocGPT
DocGPT™
Why DocGPTHow it WorksPricingSecurityPrivacy ArchitectureMission

We built DocGPT because episodic care isn't enough

We're a husband-wife team combining 10+ years of ER/ICU nursing with 20+ years of building AI at scale. We built DocGPT because we needed it for our own family.

Meet the Founders

Engineer

Co-founder

  • Building AI features for products used by hundreds of millions
  • 20+ years shipping software at massive scale
  • Multiple US patents in AI/ML

Nurse

Co-founder

  • Registered Nurse with 10+ years ER/ICU experience
  • Defines safety checks and escalation language
  • Ensures clinical quality in product design

We dogfood DocGPT with our own family

Infant care

Testing with our child under 1 year old

Aging parents

Managing care for multiple elderly family members

Clinician feedback

Doctors in our family test scenarios and review outputs

Our Values

Privacy by Architecture

Documents stay encrypted on your device. AI receives only anonymized context. Delete the app, delete everything.

Outcomes Over Engagement

We track follow-ups and trends, not screen time. The goal is better health decisions, not more app usage.

Honest Uncertainty

When we don't know, we say so. Our AI communicates confidence levels and recommends professional consultation when appropriate.

Family-First Design

Built for real families: infants, aging parents, complex conditions. We dogfood DocGPT with our own family daily.

Our Vision

Today, we anonymize your data before it leaves your device. Tomorrow, nothing will leave at all.

We're building toward health AI that runs entirely on your device. When AI inference happens locally, there's nothing to transmit, nothing to intercept, nothing to breach. Privacy becomes physics, not policy.

Today

Anonymized cloud inference

Building

Healthcare models, outcome learning

Vision

On-device AI, personal health oracle

Our Technology

Patent-pending system that learns from real health outcomes

USPTO Application Filed

Privacy-Preserving Closed-Loop Health Advisory System

Unlike chatbots that guess, our system measures time-to-effect and attributes outcomes to specific advice. This creates a feedback loop that continuously improves accuracy through reinforcement learning.

We start with xAI's Grok for its superior reasoning and real-time knowledge, fine-tuned on health-specific corpora. Long-term, we're building proprietary models using RLHF trained on real patient outcomes.

On-device PII anonymization
Outcome attribution engine
Multimodal input processing
Federated learning ready

Join Us

We're building truth-seeking health AI. If you share our vision, we'd love to hear from you.

Partner With UsGet in Touch
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@DocGPT_Health

Documents stored encrypted on-device. AI receives only anonymized context.

Information only, not medical diagnosis. In an emergency, seek immediate care.

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