Lab Companion turns confusing medical numbers into simple explanations, so you can walk into your next appointment actually prepared. Everything happens in your browser. Nothing leaves your device.
You shouldn't have to upload your medical data just to understand it.
You shouldn't need a medical degree to understand your own health. But the gap between “you have results” and “you understand them” is wide and nobody is filling it without asking for your data first.
You see 'high LDL' and search it. Thirty seconds later you're convinced you're dying. You're probably not. But there was no way to know that without the spiral.
Your doctor has 7 minutes. You're unprepared, you forget which number was flagged, and you leave with a pamphlet instead of answers.
Your parent gets labs back. You try to explain it to them. You don't actually know what it means either. The next appointment is three months away.
The existing alternatives send your most sensitive medical information to a cloud server. You're trading your health records for an explanation.
Drag and drop a PDF or image of your lab results. Quest, LabCorp, hospital portals, international formats. Handled by local OCR that runs entirely in your browser. Nothing is transmitted.
A parser, context agent, evidence agent, questions agent, safety agent, and orchestrator work through your results. Flagging what matters, explaining what it means, without unnecessary alarm.
Plain-language explanations for every flagged marker. Specific questions to ask your doctor. A summary you can actually use in a 7-minute window.
We built Lab Companion browser local by design. As health data regulation tightens, this is an advantage cloud-based competitors can't replicate without rebuilding from scratch.
Your report is processed in your browser. Nothing is sent to any server, not even ours.
No email, no sign-up, no tracking. Open the app, upload your results, understand them. Done.
Once loaded, Lab Companion runs without an internet connection. Full privacy, anywhere.
Cloud-first competitors face a rebuild as regulations tighten. We never will.
Built by someone who cares about the gap.
“I built Lab Companion after seeing how often patients receive lab results they don't understand and how quickly that turns into confusion, anxiety, or missed questions during appointments. Privacy wasn't an afterthought. It was the whole point.”
The same system can be used in patient portals, clinics, and employer health programs to help patients understand results and reduce time spent explaining them during visits.
Healthcare is shifting toward AI-powered understanding, but most tools rely on cloud processing and data collection. We're building the privacy-first alternative from the start.
We're solving the other side: the 225M people who already have results they can't interpret. Different problem, bigger population, no privacy-first solution at scale. We submitted to Google's MedGemma Challenge the same day they announced.
The White House AI policy and state-level legislation are creating structural advantages for browser-local architecture. Cloud-first competitors will have to rebuild. We never will.
Consumer demand for AI-powered health literacy is proven. The privacy-first alternative that doesn't lock you into an ecosystem isn't built at scale yet.
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Free. Private. No account. No catch.
Analyze my results →Nothing leaves your browser. Ever.