Solutions · For Healthcare

AI that earns
clinical trust.

Healthcare AI requires more rigor than any other domain. We build HIPAA-compliant, explainable, and clinically validated AI systems for providers, payers, and health tech companies.

HIPAA-compliant by design
Explainable AI outputs (no black boxes)
EHR & FHIR integration support
On-premise deployment available
BAA available for covered entities
Capabilities

AI systems built to clinical standards.

Medical Imaging AI

Computer vision models for radiology, pathology, and dermatology. Object detection, segmentation, and classification trained on medical datasets.

Clinical NLP

Extract structured data from clinical notes, discharge summaries, and medical records. ICD code suggestion, entity recognition, and summarization.

Predictive Analytics

Patient risk stratification, readmission prediction, and early warning systems trained on your EHR data with explainable outputs.

HIPAA-Compliant Infrastructure

All systems built with HIPAA technical safeguards: encryption at rest and in transit, audit logging, access controls, and BAA support.

Private Deployment

On-premise or private cloud deployment available. Your patient data never leaves your environment unless you explicitly configure it to.

Clinical Workflow Integration

We integrate with EHR systems (Epic, Cerner, FHIR), radiology PACS, and lab systems. AI that fits your workflow, not the other way around.

Use cases

From imaging to operations,
AI applied where it matters.

Radiology AI Assistant

AI that reviews imaging studies and flags findings for radiologist review — reducing reading time and catching missed findings.

Clinical Note Intelligence

Transform unstructured clinical notes into structured, searchable, and actionable data automatically at scale.

Readmission Risk Model

Predict 30-day readmission risk at discharge to enable proactive care coordination and reduce costly readmissions.

Diagnostic Support

Decision-support tools that surface relevant literature, similar cases, and risk factors during clinical encounters.

Operational Analytics

Predictive staffing, bed management, and capacity planning models trained on your historical operational data.

Health Tech AI Features

For health tech companies: add AI capabilities to your platform — risk scoring, clinical NLP, image analysis — via clean APIs.

Our approach
"Healthcare AI that we cannot explain, we do not ship. Every model output must be traceable to the data and logic that produced it — because clinicians deserve to understand the tools they use."

— Createnano Engineering Principles

Let's talk about your use case.

All healthcare conversations are confidential. NDA and BAA available at first contact.

Contact us