Building the AI layer for faster, safer clinical triage.
DiagnosAI is building an AI-native clinical triage platform for hospitals and care networks.
The platform helps collect structured patient symptom information, detect urgency and red flags, and generate provider-ready summaries before consultation. This helps hospitals reduce manual triage workload, shorten patient wait times, and improve the quality of information available to clinicians.
We are starting with a focused MVP for respiratory triage and designing the system to expand into more disease areas over time.
Our current model is B2B: hospitals, clinics, and diagnostic centers can use DiagnosAI through SaaS subscriptions, usage-based pricing, or pilot partnerships. Patients get a smoother intake experience, while providers receive cleaner, more actionable clinical information.
We are currently looking to connect with investors, clinical advisors, and healthcare partners who are interested in improving triage, access, and patient flow.
Delayed and inconsistent triage is putting patients at risk.
Emergency demand is rising, but triage is still manual, crowded, and inconsistent. Delays and under-triage create preventable risk at the front door of care.
16.1M
ED visits in Canada last year
7.7%
of patients left before seeing a physician
1 in 10
admitted patients waited 36+ hours for a bed
Under-triage costs lives
In an Ontario trauma study of 11,398 severely injured patients, 4% died before transfer, accounting for 22% of all deaths in the cohort.
A problem far beyond Canada
The U.S. sees roughly 140M ED visits every year, and triage-related deaths still aren’t formally tracked nationally in either country.
Incomplete patient information
Clinics and EDs receive fragmented symptom histories at intake, leaving clinicians to make triage decisions without the full picture.
Manual, inconsistent triage
Prioritization still runs on manual review. As volumes rise, that slows everyone down and increases waiting time across the board.
Missed urgency, rising risk
When early warning signs go unnoticed or escalation is delayed, patient risk climbs before care has even begun.
Delays, under-triage, and overcrowding create preventable risk at the front door of care.
Sources: CIHI (2026), ICES / JAMA Surgery trauma under-triage study, CDC/NAMCS
See DiagnosAI in action.
Let’s create something amazing together.
We’re raising to take DiagnosAI from MVP to clinical pilots and beyond. If the problem, product, or roadmap resonates, we’d love to talk.