Ariel Dominguez
Sets the thesis the whole company runs on: regulated industries do not need another point tool, they need an intelligence layer they are allowed to own.
OpenCharts started with a flowchart that wouldn't draw itself. Below is the same story the interactive canvas above tells, in plain text.
OpenCharts did not start with a growth plan. It started with four people who had spent years inside industries where the software is always almost right, and never quite allowed to touch the part that matters.
Ariel Dominguez set the thesis. Tony Feijoo had already built one of the largest insurance field organizations in the country. Alexandr Vinocurov runs execution. Daniel Diaz owns the legal guardrails. Four people who had each seen the problem from a different side of the same table.
This is the part that shaped everything. Healthcare and insurance are not hard because they are complicated. They are hard because a wrong answer has a consequence, and because a data policy is a contract somebody signed. Every product decision here comes from that room.
TheoVex is an AI research lab for highly regulated industries. A customizable application layer over an inference layer, so a hospital or a carrier can build its own compliant tooling instead of renting someone else's. OpenCharts is one of the products that runs on it.
The honest first question, asked before writing a line of code. We went looking for something to buy. Two answers came back, and neither of them was yes.
The deck tool, the doc tool, the board, the sheet, the site builder, the video editor. Eleven subscriptions holding one company's thinking, none of which you own, all of which stop being yours the month you stop paying.
Perfectly fine for a mood board. Not fine for a patient chart, a claim file, or a matter you are professionally responsible for. In a regulated room, an unclear data policy is the same as a no.
If the thing you need does not exist and cannot be bought, the only honest option left is to build it — including the model family underneath it. ARCA is ours. That is the difference between a product and a wrapper.
The insight that made OpenCharts a single canvas instead of a suite. The deck, the doc, the board, the sheet, and the site were never separate problems. They were one problem, split across a subscription stack.
Charts, boards, notes, and decks you can open and start drawing inside in ten seconds. No onboarding call, no implementation partner, no quarter-long rollout.
Sheets, code, video, and files living side by side in one workspace, so a thought does not have to be re-typed every time it changes shape.
Open APIs, skills, and agents, so the rest of your stack can reach in. A layer you build on rather than a box you work inside.
Theo keeps working when you close the laptop — and reports back in language a person can actually check, which is the only version of automation a regulated team is allowed to trust.
The creation surface where a person and Theo build something together. Owned by TheoVex, built alongside Theo and the Hitheo.ai orchestration API, and shipped so the strictest customer can use it first.
We do not train on customer data. You keep ownership and control of everything you put in, and everything you make is exportable on the way out.
Every artifact on a single canvas, so the thinking does not get lost in the gap between tools. That gap was the original problem.
Starting in healthcare and insurance is what makes the product safe to use everywhere else. Build for the room with the real consequences and the easy rooms take care of themselves.
Give the work back to the people doing it. Not to replace the clinician, the agent, or the attorney, but to hand them a surface where thinking and shipping finally happen in the same place.
That is the whole story. The next part is yours — open a blank canvas and build something on it.
Scroll and the chart tells you who built OpenCharts, who owns it, and what it was for. When the story ends, the canvas is yours.
Not a garage story. Ariel, Tony, Alexandr, and Daniel had each spent years inside healthcare and insurance — the two industries where the software is always almost right, and never quite allowed to touch the part that matters.
An AI research lab for highly regulated industries: a customizable application layer over an inference layer, so a hospital or a carrier can build its own compliant tooling instead of renting somebody else's.
We went looking for something to buy first. What we found was eleven subscriptions holding one company's thinking, none of which you own — and terms that were fine for a mood board and completely unusable for a patient chart.
Including the model family underneath it. ARCA is ours. When the thing you need does not exist and cannot be bought, building it is the only honest option left.
The deck, the doc, the board, the sheet, and the site were never separate problems. They were one problem split across a subscription stack — so OpenCharts is a product, a platform, a protocol, and a process on a single canvas.
One of several products on the TheoVex platform, built alongside Theo and the Hitheo.ai orchestration API. Your work stays yours, it lives on one surface, and it was built for the strictest room first.
Not to replace the clinician, the agent, or the attorney — to hand them a surface where the thinking and the shipping finally happen in the same place. The rest of this canvas is yours.
OpenCharts is built by the same group behind TheoVex — people who have shipped in insurance and healthcare, where the rules are real and the tolerance for a wrong answer is zero.
Sets the thesis the whole company runs on: regulated industries do not need another point tool, they need an intelligence layer they are allowed to own.
Spent a decade building one of the country's largest insurance field organizations, which is where the team learned what real operators will and will not adopt.
Runs execution. Turns a research lab's output into products that ship on a schedule and hold up once people depend on them.
Owns the guardrails. Every product decision that touches privileged or protected information goes through a legal review before it goes out the door.
TheoVex is an AI research lab for highly regulated industries — healthcare and insurtech first. The work is a customizable application layer over an inference layer, so a hospital or a carrier can build its own compliant tooling instead of renting someone else's. ARCA is the model family we develop in house.
Your work is yours. We do not train on customer data, and you keep ownership and control of what you put in.
The agentic layer. The part that reads, decides, and does the work across every surface.
The orchestration API. How other products reach that agentic layer programmatically.
This product. The creation surface where a person and Theo build something together.
The deck, the doc, the board, the sheet, the site, and the video were never separate problems. They were one problem split across a subscription stack. OpenCharts puts them on a single canvas so the thinking does not get lost between tools.
Everything you make is exportable and yours. Nothing you build here is trapped behind a renewal, and nothing you write becomes training data for a model somebody else sells.
We started in healthcare and insurance, where a wrong answer has a consequence and a data policy is a contract. Building for that room first is what makes the product safe to use in every easier one.

The same canvas you just read the story on. Yours, free, no card required.