Our Technology

Real-Time Infection Tracking

Why it matters

Enables real-time alerts to infection control teams. AI models often achieve AUC > 0.80 for detecting HAIs.

PubMed Central

Continuously monitors hospital data streams (EHRs, lab reports, sensor feeds) to detect signs of infection early.

What it does:

AI-Driven

Risk Analysis

Why it matters

Supports proactive measures, improved clinical decision-making, and resource allocation.

Applies predictive analytics on patient data (demographics, vitals, comorbidities) to assess individual and unit-level infection risk.

What it does:

Automated Compliance Reporting

Why it matters

Streamlines regulatory reporting, reduces manual workload, and improves compliance safeguards.

Aggregates hygiene data, PPE use, and lab results to auto-generate compliance metrics for internal teams and regulators (e.g., CDC, HIPAA).

What it does:

Clinical Decision Support Integration

Why it matters

Enhances clinician workflows, reduces burnout, raises patient care consistency.

Integrates with hospital CDSS to issue smart alerts: e.g. sepsis risk, hand hygiene reminders, isolation protocols.

What it does:

Adaptive Training & Hand Hygiene Coaching

Why it matters

Reinforces best practices in real-time, elevating institutional standards and reducing infection transmission.

Uses computer vision to monitor hygiene compliance and provide instant feedback/training to staff.

What it does: