Agent Catalog

OCRs and structures labs, imaging, prescriptions and scanned notes across the full history.

Seven specialist lenses (cardiology to family medicine) review the record independently, in parallel.

Weighs specialist agreement to rank findings by strength and filter noise.

Traces each finding to its source document, date and value, and assembles the physician brief.

Enforces advisory-only output, confidence scoring and physician sign-off on every flag.

Detects missing PPE, restricted-zone entry and unsafe behavior from camera feeds.

Correlates gas, temperature and machine IoT signals with the vision stream.

Dedupes events, scores severity and routes the right alert to the right supervisor.

Records every event and disposition with evidence for audits and reporting.

Turns free-text symptoms, history and reports into a structured clinical picture.

Generates a ranked set of possible conditions from the structured picture.

Attaches the supporting evidence and reasoning behind each possibility.

Suggests follow-up tests or referrals for the clinician to approve.

Streams vitals and wearable data into a unified per-patient view.

Learns each patient's baseline and flags meaningful drift, not just threshold breaches.

Prioritizes and routes alerts to the care team with supporting trends.

Produces shift and visit summaries for clinicians from the monitoring record.

Distinguishes people, vehicles, animals and packages from motion noise.

Suppresses shadows, foliage and repeated benign events so alerts stay meaningful.

Sends clear, labeled alerts with a snapshot to the homeowner's device.

Matches the situation to the right neonatal/pediatric transport protocol.

Walks the crew through time-critical decisions with live checklists.

Keeps the receiving unit informed with structured, real-time updates.

Walks health workers through structured intake and screening.

Suggests likely conditions and next steps for common presentations.

Operates with intermittent connectivity and syncs when a link is available.

Builds and sequences a learning path for each cohort and goal.

Adjusts pace and difficulty to each learner's progress and gaps.

Grades hands-on cloud and AI exercises with live, specific feedback.

Gives instructors a clear view of mastery and where cohorts struggle.

Runs models on local far-edge hardware with no constant connectivity.

Serves learning content and basic health guidance to remote communities.

Caches locally and synchronizes with the cloud whenever a link appears.