Aidentis

AI that elevates healthcare

Privacy‑first multi‑modal AI to improve imaging, clinical workflows and patient communication — designed for real‑world deployments.

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Privacy‑firstDesign principle
Multi‑modalText · Image · Audio
Edge‑readyOn‑prem capable
API/SDKIntegrations

Imaging AI

Assistive reads and quality control with explainability. PACS/EMR integration supported.

  • QC & triage
  • Explainable results
  • PACS connectors

Clinical Assist

Auditable notes and summaries from structured and free‑text data with human‑in‑the‑loop review.

  • Note drafting
  • Guideline prompts
  • Audit trails

Patient Communication

Natural, multilingual communication for education, follow‑ups and risk outreach.

  • Multilingual
  • Verified responses
  • Scheduling hooks

Security & Compliance First

Built with least‑privilege and data minimization. Supports on‑prem/private deployments with full auditability.

  1. De‑identification & encryption
  2. Role‑based access & logging
  3. Model observability & rollback

Go‑Live in 3 Steps

  1. Scope & success metrics
  2. Pilot & evaluation
  3. Integrate & launch
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FAQ

Can this run on‑premise?

Yes — we support on‑prem and private cloud with edge inference options.

How is data privacy handled?

We use least‑privilege access, de‑identification, encryption in transit/at rest and comprehensive audit logs.

Are APIs/SDKs available?

Yes — standard APIs and SDKs with adapters for common healthcare systems.

Ready to explore?

Tell us about your use case and we'll set up a short demo.

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