- AI-First Health Enterprise Platform
The intelligence backbone for the whole health system
Graimatter Lab fuses clinical AI, generative intelligence, and agentic workflows into a single modular platform — unifying radiology, care coordination, operations, and finance into measurably better outcomes.
Built different, by design
While others solve point problems, Graimatter Lab is the only AI-first vertical enterprise platform that spans the full health system – from imaging to operations to finance.
Unified intelligence, not fragmented tools.
A single modular platform connecting clinical AI, generative documentation, and agentic automation. No data siloes. No integration headaches.
Clinical-grade precision at every layer.
Purpose-built AI models trained on de-identified clinical data across imaging modalities, specialties, and care settings — not repurposed general AI.
Agentic AI that acts, not just alerts.
Autonomous agents handle prior auths, documentation, coding, and care coordination — reducing administrative burden while clinicians focus on patients.
Operational and financial intelligence.
The platform spans beyond clinical AI — optimizing throughput, improving revenue integrity, and delivering measurable ROI across the enterprise.
EHR-native, workflow-native and more.
Deep FHIR-based integrations with Epic, Oracle Cerner, and Athenahealth. AI surfaces where clinicians already work — no context switching required.
Measurable outcomes from day one.
Transparent performance dashboards, clinician feedback loops, and outcome tracking built in. You know exactly what the AI is doing — and proving.
Regulatory Status: Graimatter Lab is an AI-first health technology platform actively pursuing FDA clearance and CE marking for its clinical AI algorithms. Current deployments operate under research, quality improvement, and clinical decision support frameworks. Our clinical evidence and validation studies are designed to support regulatory submissions. We are committed to the highest standards of safety, efficacy, and transparency in every product we build.
Four layers. One intelligence backbone.
Graimatter Lab is a scalable, modular architecture where each layer adds intelligence. Deploy the modules you need today, expand as your strategy evolves.
- 01
Clinical AI Engine
Imaging analysis, pathology detection, risk stratification, and clinical decision support across radiology, neurology, and cardiology
- CT / MRI / X-Ray
- Triage & Detection
- Quantification
- Worklist AI
- 02
Generative AI Layer
Ambient documentation, specialty-specific note generation, patient summaries, and pre-visit chart preparation
- Ambient Listening
- Structured Notes
- Patient Summaries
- 200+ Specialties
- 03
Agentic Workflow Automation
Autonomous agents handling prior authorization, CDI, ICD-10 coding, care team notifications, and discharge workflows
- Prior Auth
- CDI & Coding
- Care Coordination
- Discharge AI
- 04
Enterprise Intelligence & Analytics
Revenue cycle intelligence, operational dashboards, outcome measurement, population health, and AI performance monitoring
- Revenue Analytics
- Quality Metrics
- AI Governance
- Outcome Tracking
Intelligence across every specialty
Purpose-built AI solutions for the conditions, workflows, and specialties that matter most. Validated in real-world clinical environments.
Clinical AI & Imaging
Generative AI
Agentic Workflows
Numbers that change outcomes
Drawn from peer-reviewed studies and real-world clinical deployments of the Graimatter Lab platform and its validated methodologies.
44%
Reduction in time to specialist notification in stroke care
Multi-center clinical study, n=14,116 stroke alerts
38%
Improvement in door-to-groin time for LVO patients
Comparative cohort, comprehensive stroke centers
97.7
Customer satisfaction score for clinical AI documentation
KLAS evaluation, ambient AI platform category
44%
Increase in guideline-driven cardiac monitoring post-stroke
Published in The Neurohospitalist, UCSD cohort
From detection to documentation — in one system
Image acquired & analyzed
Graimatter Lab's clinical AI engine processes imaging studies in seconds, detecting time-critical findings and flagging anomalies with quantified confidence scores.
Worklist reprioritized, team alerted
High-acuity cases surface automatically to the radiologist. Simultaneously, care team alerts with imaging previews reach specialists via mobile and EHR-integrated channels.
Generative AI documents the encounter
As the clinical conversation unfolds, ambient AI captures structured notes, auto-generates summaries, and prepares coding-aware documentation in real time.
Agentic AI handles the follow-through
Autonomous agents submit prior authorizations, surface CDI recommendations, flag coding gaps, and coordinate downstream care steps — without manual intervention.
Outcomes tracked, intelligence improved
Every encounter feeds the platform's analytics backbone. AI performance, clinical outcomes, and revenue metrics are monitored continuously with transparent dashboards.
What clinical leaders say
Graimatter Lab didn't just improve our turnaround times — it changed how our entire stroke team thinks about time-critical decisions. Having imaging AI, care alerts, and documentation in one system is transformational.
Our radiologists now spend their mental energy on clinical judgment, not hunting through worklists. The AI surfaces what matters, when it matters — with the confidence metrics to back it up.
The agentic documentation and coding layer saved our system an estimated 1,200 clinician hours in the first quarter. That's time given back to patients, and revenue that was previously walking out the door.