Upload symptoms and follow patterns
Patients submit structured symptom data, follow trend timelines, and receive AI-generated summaries they can bring into care.
GI Compass is a pure AI platform with two connected views: a patient view for symptom uploads and a professional view for colonoscopy and endoscopy image uploads. The system analyzes both streams together to produce clearer early signals.
Bowel changes, bleeding, pain, fatigue, appetite shifts, family history context.
Structured symptom analysis plus AI review of uploaded colonoscopy and endoscopy images.
Clinician-facing summaries with imaging evidence, symptom trends, and escalation support.
Patients submit structured symptom data, follow trend timelines, and receive AI-generated summaries they can bring into care.
Professionals upload colonoscopy and endoscopy images, review AI-supported image analysis, and compare findings with patient symptom history.
Patients upload symptoms through structured prompts while professionals upload colonoscopy and endoscopy images through a clinical review interface.
The app converts daily logs into a structured timeline so patterns are visible instead of buried across isolated notes.
The multimodal layer looks for symptom clusters, persistence, and visual patterns in uploaded images through the AI image-analysis model.
The result is not a diagnosis. It is a clearer signal that may support earlier conversations, testing, and specialist review.
Persistent pattern meets threshold for clinician-facing summary.
GI Compass is organized to turn two messy inputs into one usable output: patient-entered symptom history and professional-uploaded imaging become a single, AI-supported review that is easier to act on.
Patients get organized timelines and summaries they can understand and share.
Professionals get imaging context, symptom correlation, and one clearer review pathway.