Xtasis empowers research and healthcare teams to exceed expectations by harnessing advanced AI, machine learning, and robotics—delivering actionable insights that optimize patient outcomes, streamline clinical workflows, and drive revolutionary innovations in medical care.
Xtasis was born out of the TENSOR Lab at Northwestern University. We combine deep learning research with clinical expertise to revolutionize healthcare. As part of the NVIDIA Inception program, AWS startups, and Microsoft for startups, we’re backed by leaders in AI innovation.
Our interdisciplinary team of data scientists, physicians, and engineers collaborate to build intuitive, HIPAA-compliant solutions that empower clinicians and patients alike.
We value teammates who go deep in their craft but are also willing to stretch across domains. That combination, expertise plus adaptability, keeps us resilient, collaborative, and moving fast without losing rigor.
The best ideas rarely come from staying in one lane. We look for opportunity where disciplines meet and others see friction, asking better questions and building solutions that are original, useful, and grounded in real problems.
We build for reality, not idealized demos. Edge cases, failure modes, and hard-use scenarios are built in from the start, because that's where systems prove themselves, and where real trust is earned.
We care how every layer behaves, not just the surface. Trust is built in the details: workflow clarity, failure handling, response speed, consistency. Every decision, from architecture to interface, should serve the people using it.
We stay curious, experiment freely, and fail without ego. Progress belongs to teams that keep moving. For us, play isn't a lack of seriousness; it's how we stay inventive, keep momentum alive, and create space for better ideas to surface.
Our engineers and researchers don't just execute on business decisions; they shape them. The people closest to what's technically possible are best positioned to see what's worth building. We keep technical leadership at the center of product and strategy so the roadmap stays grounded in what's real, not just what's easy to sell.
Bringing together expertise in AI, engineering, business, and clinical care to transform healthcare.
CEO & Founder
Dr. Kline is a leading expert in AI-driven healthcare solutions with a background in clinical medicine and engineering.
CFO
Mark is a seasoned finance executive with expertise in product development, marketing, and strategic planning.
CTO
Chris is an IT leader with deep expertise in critical systems, high availability infrastructure, cloud technologies, security, and modernization.
CBO
Chief Business Officer. Qing leads business strategy and operations at Xtasis, driving growth and forging key partnerships across the healthcare and technology landscape.
Board Member
Dr. Johnston oversees the clinical integration of AI tools as the chief of cardiac surgery at Northwestern Medicine.
Advisory Board
Dr. Carr, chair of radiology at Northwestern Medicine, advises on the integration of AI in medical imaging and diagnostics.
Advisory Board
Dr. Forkert, a leading researcher in machine learning and imaging, serves as a CIFAR chair of Canada.
Advisory Board
Dr. Cantey, an Assistant Professor at the University of Michigan, specializes in interventional cardiology and AI diagnostics.
Director of UI/UX
Dan leads the design and user experience strategy at Xtasis, crafting intuitive interfaces that bridge complex AI capabilities with seamless clinical workflows.
From the moment patient data is collected to the publication of groundbreaking research, our end-to-end AI pipelines protect, enrich, purify, diagnose, schedule, and synthesize — so your team can focus on what matters most.
Every journey begins with trust. Before any data enters your pipeline, Xtasis automatically strips PHI from medical images, clinical notes, and datasets — ensuring HIPAA compliance from day one.
With privacy established, enrich your dataset with clinical intelligence. Annotate notes and imaging data with custom schemas to build high-quality training corpora for your own AI models.
Before images feed into diagnostic models, PURIFai automatically trims borders, strips overlays, and removes scanner annotations — delivering pristine frames ready for clinical AI.
Clean, annotated images flow directly into AI-powered diagnostic dashboards. Rapid 3D reconstruction and lesion detection enable clinicians to make confident, data-driven decisions faster.
Diagnostics flag the need for intervention — now coordinate the care. Intelligent algorithms balance OR availability, surgeon expertise, and patient acuity to optimize surgical throughput and reduce wait times.
The journey culminates in knowledge. CiteGeist synthesizes your clinical outcomes with the global literature — accelerating publication, driving discovery, and closing the loop from patient care to evidence-based medicine.
Join those who've taken control of their health with Xtasis AI's cutting-edge technology.