의료 분야를 위한 AI 인력

SuperNinja supports HIPAA-eligible deployments inside your own BAA-covered cloud environment (AWS, Azure, or GCP) or on-prem. Because the platform runs inside your perimeter, your existing HIPAA administrative, physical, and technical safeguards apply to it. PHI is encrypted in transit and at rest, access is governed by SSO/SCIM and RBAC, and your data is never used to train any model.

Yes. SuperNinja connects to 3,000+ tools via integrations and can also operate any web-based system through its own real browser — including EHR portals, payer portals, clearinghouses, and credentialing platforms. It works alongside Epic, Oracle Health, athenahealth, eClinicalWorks, and most major practice management systems.

No. SuperNinja automates the administrative work around care — assembling documentation, checking payer criteria, drafting letters, and tracking submissions. Clinicians and authorized staff review and approve outputs; high-impact actions require explicit human sign-off, and every step is captured in a full audit trail.

Most teams start with a single queue — for example, imaging or specialty-pharmacy prior auths — and see turnaround drop from days to hours within the first weeks. Because SuperNinja is self-evolving, accuracy on your specific payers and specialties improves with every case it handles.

Yes. Payers use SuperNinja for utilization-management intake, provider data management, and appeals processing; digital health and MSO teams use it for eligibility checks, enrollment operations, and multi-site revenue cycle work. The same AI workforce adapts to your workflows.

With a deployed option, the full platform runs on GPUs you control. You pay the hourly GPU cost plus a software license per GPU node — never per prior auth, per claim, per token, or per seat. Run unlimited users and parallel AI employees; cost is capped by hardware, so heavy months cost the same as quiet ones, and the spend counts toward your existing cloud commitments.