QIS, Qualitative Intelligence Systems, is the platform we built for patients, foundations, health systems, and clinical researchers. We help them collect what they have, organize what they have not, and ask better questions of all of it. So the person at the center of the story stays at the center of the decisions.
Healthcare collects a lot of information about people. Most of it never gets used, never gets organized, and never reaches the person who needs it most. We built QIS to change that.
Notes. Test results. Recordings. Questions they forgot to ask. The things their doctor never wrote down. We help patients gather it, sort it, and bring it into the conversations where it matters.
Caregivers, foundations, advocacy groups, care teams. The ones who carry the story when the patient cannot. We help them organize what their community already knows so it can be used.
Interviews. Photos. Audio. X-rays. The qualitative information that gets left out because it does not fit a row and a column. We prepare it so it can be analyzed alongside the rest.
The person owns their voice. When they are available, they answer. When they are not, a digital version of them does. With their consent. With their words. With a human in the loop.
One AI can be wrong. Several AIs together, checking each other, catch what one would miss. Our platform reduces cultural and other biases. The AIs find where they agree and where they disagree. A human reviews every report before anyone acts on it.
Different needs. Same goal. The person at the center of the story stays at the center of the decisions.
If you are living with a serious illness, or you are caring for someone who is, we built this for you. QIS helps you gather your notes and questions, translate medical language into plain words, and walk into your next appointment ready. Your information belongs to you. Always.
Read our guide for patients and caregivers →You have been collecting stories for years. Interviews, recordings, photos, field notes, survey responses. We help you organize what you already have so the patient voice you carry can shape clinical research, policy, and care. We come to your data with methodology, not a sales pitch.
Start a conversation →Your providers are drowning in documents. The patient experience between visits goes uncaptured. We help you surface what matters, summarize what overwhelms, and integrate the qualitative side of care into the systems you already run. Less work for clinicians. More context for the patient.
Start a conversation →Ninety percent of drug trials fail. The qualitative signals that predict dropout, non-adherence, and patient loss are knowable. They are also rarely captured. We help sponsors, CROs, and registries surface what their endpoints miss, before a trial fails for reasons no one named.
See how we engage →The concept of a digital twin started in manufacturing more than twenty years ago. A virtual copy of a physical thing, updating as the physical thing changes, so you can ask questions and predict what is coming. NASA used the idea on Apollo 13 to bring the crew home. Factories use it to catch defects before they ship. Aerospace uses it to test a plane before it ever leaves the ground. Industry 4.0 made it standard.
Healthcare is the laggard. The published research says so. Twenty years after the concept was named, healthcare is still at the beginning. The data is fragmented. The systems do not talk to each other. The patient's voice is barely captured. And the one industry where the stakes are highest, where the physical thing being twinned is a person, is the one furthest behind.
I have been selling and implementing digital twins since 2014, first as an IBMer and then at Verizon. Maximo, IBM's asset management platform, is where the discipline met the factory floor at scale. It is the operating system the reliability community built digital twins on. I walked those factory floors with those customers. In 2022 I stood up the Verizon 5G Innovation Hub at USC's McNair Aerospace Center, in partnership with IBM, Siemens, and Yaskawa. That same year I presented at MaximoWorld with IBM on using AI, 5G, and IoT to detect failures before they happen.
Twelve years in the discipline. Now we are seeing healthcare folks attach their names to digital twins. The conferences are catching up. The vendors are showing up. What is missing is the operating experience.
I bring more than the industrial track record. I am a researcher and sociologist trained in qualitative method. That is the layer manufacturing never had to solve for. It is also the layer healthcare needs most. Around me sits a team built for this. Jennifer Bulandr brings twenty-plus years inside rare disease advocacy. Tom Tully brings the lived experience of pulmonary fibrosis and a transplant, alongside a twenty-five-year pharma career. Usman Fawad builds the AI architecture. Jacob Bulandr brings the data science. Lisa Krefft brings clinical and regulatory experience across therapy, occupational health, wearable technology, and law. Verity Grey is the named AI voice that preceded the system itself.
No one piece is the whole. Together, we are the cross-disciplinary team this problem requires.
Tom is our patient adviser. He has lived with pulmonary fibrosis. He had a lung transplant. He spent twenty-five years inside the pharmaceutical industry before that. His voice already anchors this work.
The first digital twin we are building is Tom's. The patient voice that shaped how we think, available when Tom is present and when he is not. With his consent. In his words. With a human in the loop on anything that matters.
A doctor, a clinician, and a nurse will be next. Every voice in the patient's ecosystem, organized so the person at the center stays at the center.
The first reflection from QIS at ATS Orlando 2026. Co-authored by Marc and Jennifer Bulandr on what QIS brought to the AI Lab and what ATS taught QIS. Five days. Three engagements. Plain language. Five-minute read. Read the first reflection →
On Magnifica Humanitas, the Vatican's first encyclical on artificial intelligence, and why this moment matters for everyone building, regulating, or deploying AI in human contexts. Co-authored by Marc and Jennifer Bulandr. Read the reflection →
The companion guide to the ATS reflection. A practical resource for patients and caregivers on using AI tools thoughtfully and safely to prepare for appointments, understand medical information, and speak up in your own care. Co-authored by Jennifer and Marc Bulandr. Read the guide →
The patient sits at the center. The rest of us are organized around that.
Whether you are a patient, a foundation, a clinician, a health system, or a sponsor, the conversation starts the same way. Tell us about your work. We will respond with fit and next steps.