Why Dalton.

The answers are out there. The data exists. The infrastructure to connect it, reason across it, and hand you the conclusion did not. So I built it. This is where genuine insight lives, in the white space between platforms.

In January 2026, my blood panel came back and one number refused to sit quietly. My ALT reading was elevated, well outside the reference range, and the report offered no explanation. I am careful about what I put in my body. I train hard. I’m not a fitness freak, but I take care of myself. My brain started buzzing the way it does when something does not compute.

I went down the rabbit hole most people do when something flags. Liver disease. Fatty liver. Worst-case scenarios, fast-forwarded to a future version of myself I did not want to meet. We default to the worst case because the alternative is sitting with uncertainty.

So I started assembling. A 2023 methylation test sitting in a PDF. A supplement stack built around that test. A Whoop account holding every workout, every recovery score, every sleep window. A blood panel. Training notes. Weight data from a RENPHO scale.

Pulling it all into one place was a second job. My Whoop data sat behind a walled garden, exportable as a raw CSV if I went looking. My blood panel was a PDF buried in a portal. The methylation test sat in another silo. Nothing was truly locked away, but every source lived somewhere different and spoke a different language. The friction was constant, the kind that kills curiosity in most people long before they find the answer. I kept going because the number worried me.

When I finally had everything in one place, I put it into a carefully prompted, temporary ChatGPT session and told it to ground every insight in credible medical sources, reports, journals, and textbooks, and to set aside anything resting on a single-subject study. The cited answer came back in an instant. I had done an intense workout less than twenty-four hours before the blood draw. My supplement stack includes compounds that influence ALT. A marker in my methylation test shifts liver enzyme baselines. None of these facts were new. What was new was seeing them in the same frame.

That was the moment. Not the relief. The realization.

Why me

I was an army brat. My grandfather served in the US Army. My father served in the 10th Mountain Division. Before I moved to the United Kingdom, I was a volunteer firefighter. I have stayed close to that world ever since, with friends among FDNY firefighters and the defense community. I was a competitive athlete in soccer and ice hockey growing up, and I have paid attention to my health, my training, and my data long before wearables made it mainstream.

Professionally, I started out as a global macro investor, first at a major bank and then at a macro hedge fund. I am a systems thinker by wiring and a builder by temperament. As President of DEEP, I helped take the company from its founding on a bar napkin to market with subsea human habitats. I am comfortable in the unknown. I know how to bring new concepts into the real world.

I use this stuff today. I have a family, kids, and a demanding job, and I want to show up fully present, mentally and physically, for all of it. When I know a big event is coming, a presentation, a pitch, a meeting that matters, I want to know the protocol that gets me into the room at my sharpest. That takes data. It takes the connections between the data. It takes intelligence specific to me, grounded in science, not a population average that knows nothing about who I am.

There is a word for what I am protecting

We talk about lifespan, how long we live. We talk about healthspan, how long we live well. I think about ProSpan, how long we operate at our professional peak.

It is not a health measure. It is the return on everything spent getting someone there.

ProSpan matters to anyone whose work asks their body to perform. The peak years are the earning years and the performing years, and they are finite. By the time you reach them, you carry an immense store of experience and judgment. Your team or your unit has invested heavily in your development. You have spent your own education, money, blood, sweat, and tears to get there. That accumulated judgment is the software, and it is invaluable. The work is keeping the hardware, your body and your brain, firing in concert so the software keeps running at full capability.

Extending ProSpan is why I started building Dalton.

What it turned into is broader than the word. Dalton reasons across a whole record, whoever it belongs to and whatever they are trying to protect, whether that is a peak still ahead of them or a recovery already underway. Lengthening a career at full capability is one thing that falls out of it. I am building Dalton. I am also its first user, and its most demanding one.

When my problem stopped being my problem

Early on, I wanted to know if this was just me, so I started asking. Firefighters. Elite athletes. Strength and conditioning coaches. Team physicians. Special forces operators. Every one of them had some version of the same stack. Six or more sources of health data, no unified view, no way to understand what any of it meant for them on a given Tuesday. Each piece was powerful. Each piece was incomplete.

A contact in US special operations was in a group conversation when I described what I was building. He cut in before I finished. "You are literally describing my problem, and hell, both for me and my team. We are in. Sign us up." That was the moment my problem stopped being my problem.

My co-founder is Dr. Dawn Kernagis, a biomedical research scientist and extreme-environment physiologist whose career spans Duke University, the Institute for Human and Machine Cognition, DEEP, and Special Operations Forces. When I handed her the Dalton brief, her first reaction was five words. "This is the holy grail."

What the world looks like with Dalton

A firefighter wakes after a hard night and reaches for their phone. The readiness score is built from their own baseline, not the average of ten million strangers, and this morning it reads low. Dalton shows the why as one picture instead of three. Yesterday was six hours in turnout gear on a multi-story fire, the wearable logging sustained exertion and a heat load the body is still clearing. That kind of load falls hardest on the right leg he injured last spring, and Dalton knows what his signals looked like the last time that injury was close to flaring: HRV suppressed, resting heart rate creeping up, recovery stalling for days. Those same signatures are lighting up now, and the cardiac read points the same direction. No single platform holds more than a slice of this. Whoop has the strain, a heart monitor has the beats, last spring's injury sits in a file at the clinic. Dalton is the only place the three of them meet.

An operator is three weeks out from a deployment that will ask everything of him, and he wants to arrive at peak, not hope for it. He asks Dalton to work backward from the last time he was measurably at his best, and it reconstructs what built that window: the sleep he was banking, the load he was carrying, where his HRV sat and how quickly it recovered between hard days. Dalton maps that pattern forward across the three weeks he has left, so the runway to game day is drawn from his own physiology, not a generic peaking template. He is not guessing at what worked. He is repeating it.

An athlete rebuilding from an injury asks Dalton, in plain language, what is happening with my inflammation and what does my own history say actually works. The answer lands in three parts at once: her inflammatory trend across the last four panels, read against her own cycle rather than a flat baseline; the recovery window last year when the same markers came down, and what she was doing then; and the peer-reviewed study behind why it worked, cited, so she can read it herself. For most of its history, the research treated women as small men. Dalton doesn't. Her data, her history, her physiology, and the evidence, in a single answer.

One thing holds across all three. The intelligence belongs to the person it is about, and to no one else by default. They decide who else ever sees a piece of it, at what scope and for how long, and they can revoke that the instant they change their mind. Dalton does the reasoning. They keep the control.

One last thing. The name.

In the original Road House, James Dalton, played by Patrick Swayze, walks into a small-town ER with a puncture wound from a bar fight. The doctor asks about his history. Dalton hands her a manila folder. Inside is his complete medical record: a diagram of a human body with his prior stitches drawn in by hand, every injury he has ever taken, every procedure he has ever had. No chasing faxes. No phone calls. No letters. No starting from scratch in rural Missouri.

His history was complete. It was mobile. It was his.

That is Dalton.

SeanFounder, Dalton