Why AumniVIDA exists

I have spent years trying to make sense of my own health data. Lab results from different clinics in different countries, imaging on discs, notes from visits, a ring that tracks my sleep, a blood pressure cuff on the shelf. Each piece lived in a different place, in a different format, and each one stood alone.

Some of my questions were simple. Most were not. Is this value moving? I answered that one by hand: typing lab results into a spreadsheet, converting units and charting them myself. The charts held whatever I typed in, went stale the moment I stopped updating them, and knew nothing about how I had slept, trained or eaten in the weeks before each draw. The questions that mattered more never got answered at all. Did something I changed move that value? Which of the things I do (sleep, training, food, a supplement) actually show up in my numbers? Is the protocol I'm following working for me?

The effort decided what got done. When every answer costs an evening, you ask fewer questions, and you stop tracking what you can't analyze anyway. Make the analysis effortless and the motivation flips: every meal you snap and every lab you add sharpens the picture, and tracking starts paying you back.

Until recently, that kind of synthesis took more time and expertise than most people have: a physician, a dietitian and an analyst working from the same data, the kind of attention premium longevity programs are built around. Frontier AI changes who can have it. A model that reads a lab report in any format, and an engine that holds years of data in one graph, can now do continuously and privately what used to take a team.

It also changes what taking care of my health means. It feels closer to training than to treatment: set a direction, change one thing, measure, adjust, week after week. A lab draw becomes a checkpoint in a loop I run, and I can finally see which changes move the numbers. When I bring in a doctor or a coach, they join that loop with the whole trend in front of them: what I've tried, what moved and what didn't. We spend our time on the next step.

AumniVIDA is the tool I wanted: one health graph that reveals what moves my numbers, runs the protocols I choose against my own data, and lets me share the relevant part with the people helping me. I am building it for everyone who runs their health this way.

Where this is going

First, understand: every value converged into one health graph, linked to its source and trended against your own baseline. That is what the app does today.

Then, optimize: see what moves your numbers, run the protocols you choose against your own data, and let your next lab result show whether a change worked.

Then, collaborate: when you bring in a clinician or a coach, they work from the same graph you do, limited to the part you choose to share, so every decision starts from the whole picture.

The principles describe the rules AumniVIDA holds to along the way, and the science page shows the evidence behind them.