Build the data foundation
We organize the meaning and relationships of fragmented records and connect existing systems to create a foundation for AI in hospital workflows.
Building and scaling
AI for hospitals.
As AI transforms industries,
we are shaping what comes next in healthcare.
A deeper understanding of care.
A clearer path to change.
Hospitals bring together years of expertise and data, diverse systems, and complex workflows. The meaning of a record depends on the patient’s condition and clinical context, while clinicians and patients need different explanations. We start by understanding this context: fragmented information, repetitive tasks, and gaps in understanding and communication help us identify where AI can make a difference.
With that understanding, we design data foundations, systems, products, and user experiences together, connecting AI to real work. From finding and reviewing information to explaining it and preparing the next step, we consider what comes before and after each application. Our vision is lasting AI transformation across hospitals, patients, research, and data, grounded in what we learn from practice.
Build the foundations. Apply AI.
Expand through practice.
AI transformation in hospitals brings data, technology, workflows, and people together. TESSER connects foundation design, AI implementation, and ongoing improvement around the challenges teams face in practice.
Bring AI into the workflow
We connect AI to hospital workflows to support record review, explanations, and next steps, keeping the people who evaluate evidence and make decisions at the center.
Evaluate, improve, and expand
Feedback from practice helps us assess benefits and limitations. We improve and extend what we learn to other workflows and settings, supporting sustained AI transformation.
From data to clinical practice.
Across healthcare.
We start with foundations that make data understandable and usable, then connect AI to real hospital workflows. We extend what we learn to patients’ everyday lives and new research possibilities. These four connected areas guide our work in healthcare AI transformation.
Explore OntolAI transformation starts in clinical practice
AI transformation starts with how hospitals actually work. We study the journey from consultations and tests to records and explanations, then design AI experiences that build on existing systems and clinical expertise.
From finding and organizing records to reviewing changes and preparing the next task, we start with specific challenges in practice. What we learn from one workflow helps us support broader processes across the hospital.
Bringing hospital innovation into everyday life
Progress in healthcare should be felt in the patient experience. The value of AI should extend to reading test results, revisiting explanations, and preparing questions for the next appointment.
TESSER makes medical information easier to understand and navigate. We help patients and caregivers understand their situation and have informed conversations with clinicians, bringing change in hospitals into everyday health experiences.
Turning clinical understanding into research possibilities
Clinical records and research questions can deepen our understanding of each other. We examine the context of medical data alongside research requirements to explore how AI can connect patients and research.
Our aim is to organize relevant information around its intended use and participants’ consent, connecting evidence that research teams can review. We seek to turn insights from clinical practice into new research opportunities.
A data foundation for lasting transformation
For medical AI to work in practice, data must first be understandable. We consider the terminology and formats of different systems, along with the source and timing of records, to connect information without losing its original meaning.
Organizing data prepares the ground for future uses beyond a single AI application. We build foundations that help put information to appropriate use across hospital workflows, patient experiences, and research.
Beyond connecting records,
we want to connect
people’s lives.
Change in healthcare should ultimately improve people’s experiences: clinicians understanding the full context, patients and caregivers understanding explanations, and people continuing to care for their health after a visit. This is the change TESSER aims to support through AI.
Organizing information inside the hospital and understanding health in everyday life are closely connected. We design experiences that reduce the gaps between them, extending technology from clinical practice into people’s lives.
Explore the patient experienceThe principles behind
hospital transformation.
Understand healthcare deeply
We look at clinical language, hospital workflows, and patient experiences together. We believe medical and technical expertise must meet to clarify the problems worth solving. Specific questions from practice guide our products.
Make change useful
We focus on improving real processes. We design products and experiences around how they fit into existing environments, who uses them and when, and how they support the work that follows.
Respect human judgment and trust
People must be able to understand and review medical AI outputs. We consider information sources, intended uses, and what needs checking, keeping clinical judgment and patient understanding at the center of our design.
Learn in practice, then expand
We turn lessons from initial applications into the next improvement. Feedback helps us understand benefits and limitations as we expand to the different conditions of each institution and workflow.
The latest from TESSER
Find company and product updates in Press Releases.
Transforming hospitals with AI.
Together.
From challenges in practice to the next stage of AI adoption.
Start a conversation with TESSER about shaping and expanding change in your hospital.