Health AI Needs an Identity Firewall

Today's launch of ChatGPT Health is genuinely exciting.

As a founder building in this space, I do not see it as a threat. I see it as a massive validation moment. Health is one of the most important problems AI can help with, and when a major player pushes forward, it raises the bar for safety, usability, and real-world impact for everyone.

It also clarifies something that matters a lot. There is not one correct way to build AI for health. There are different product philosophies and different tradeoffs, especially around privacy, identity, and how sensitive information moves through the world.

Two paths are emerging

One path is to connect everything. Medical records, wellness apps, partner platforms, and deep integrations. It can be incredibly powerful and convenient.

The other path is local-first. Keep health data under the user's control, minimize who has access, and still deliver personalization by sharing only what is necessary and anonymized for the question at hand.

At DocGPT, we are intentionally building on the second path.

Not because integrations are bad, but because health data is different. It is uniquely sensitive, and it can impact your family, your insurance, your career, and your peace of mind. So we have designed DocGPT around a simple principle.

Your health data should live on your device, not across a chain of custody you do not control.

A private health vault with an identity firewall

DocGPT is built as a private health vault on your phone. Your medical PDFs, scan images, lab results, discharge notes, and reports live encrypted on-device. You control what goes in, and you control what gets deleted.

When you ask a question, DocGPT does not need to hand your identity to an AI system. We strip identifiers before any AI call. The AI sees a health context summary, not a person. This is an architecture choice, not a marketing line.

Why we do not connect to data providers

We made a deliberate decision. DocGPT does not connect directly to provider portals or medical-record aggregators.

Instead, we support a workflow that is simple and controlled.

Download your records as PDFs from your provider (or take a screenshot), upload them to DocGPT, and get the value without transmitting non-anonymized identity.

Fewer pipes means fewer breach surfaces. Fewer third parties means fewer unexpected policy changes. More control for the user means trust earned the hard way.

For day-to-day wellness context, we do integrate where it is user-controlled and device-native. Apple HealthKit is already integrated, and we are building additional integrations in the same spirit, designed to preserve user permissioning, minimize identity exposure, and avoid creating a sprawling chain of custody.

The moat is not chat. It is outcomes.

Most tools in health are good at answering questions. But health is not a single question. It is a timeline. It is what happened last month, what changed after the medication adjustment, what your lab trends look like over time, and whether the last recommendation actually helped.

DocGPT is being built as a closed-loop health system. It remembers your context locally as a vault, follows up, tracks what changed, finds hidden patterns in your health that you hitherto were not aware of, and learns what worked for you over time.

That outcome loop is the differentiator. Because in healthcare, the goal is not to generate a clever answer. The goal is to help you make better decisions and show up to care better prepared.

Our mission is maximal truth seeking in healthcare

Healthcare needs less engagement bait and more truth. Our mission is to build a health companion that is maximally truth seeking, transparent about uncertainty, and relentlessly grounded in evidence.

Today we are starting with xAI's Grok as our model choice, and we will also leverage strong open source models. Over time, we plan to fine-tune and improve performance using a patent-pending RLHF approach focused on medical usefulness, calibration, and safety.

Long term, our goal is to build models that are efficient enough to run on-device so there is no transmission of health data outside your phone. It is a super optimistic vision, we know, and that is the direction we are committed to!

Partnership model and how to work with us

We are building DocGPT as both a consumer product and a platform. The platform direction is simple. Give partners a privacy-forward way to deliver better outcomes without forcing users into risky data sharing.

If you are a clinic, insurer, employer, digital health company, or a health system, our partnership lens is to enable:

• Private, user-controlled intake and context building using PDFs and device-native signals
• Better doctor visit preparation and follow-up workflows that reduce missed details
• Outcome loops that help users stick to plans and track what changed
• Strong privacy architecture that avoids brittle chains of custody

Why choose DocGPT over ChatGPT Health

If you want a general AI platform experience with broad integrations and convenience, ChatGPT Health may be a good fit.

If you want a health companion designed around privacy architecture, identity separation, and outcomes over time, DocGPT is built for you.

Choose DocGPT if you believe:

• Your records should live on your phone as a vault, not spread across multiple systems
• You should get help without giving AI your identity
• Uploading PDFs you control is safer than connecting a web of data providers
• Health AI should follow up and learn what works for you because health is a timeline, not a chat
• Truth seeking matters more than engagement

If you believe in this mission and want to partner with us, reach out. We are building fast, listening closely, and we want to work with people who care about privacy, evidence, and outcomes.

*DocGPT provides information and guidance, not medical diagnosis. If you suspect an emergency, seek immediate care.*

Ready to understand your health data?

DocGPT helps you understand blood tests, lab results, and more with AI. Private and secure.