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PRIVATE AI FOR HEALTHCARE & LIFE SCIENCES

Put AI to work without losing control of sensitive health data.

Deploy AI inside your approved environment and govern what models and agents can access, change and execute across healthcare and life sciences workflows.

  • Private deployment
  • Controlled data and actions
  • Complete audit trail

Advance AI without compromising privacy or oversight

Give teams access to useful AI while keeping sensitive patient, member, clinical and research data within approved boundaries.

01

Protect sensitive data

Keep patient, member, clinical and research information within approved environments and workflows.

02

Control models and agents

Define which data, tools and systems each model or agent can access—and when human review is required.

03

Demonstrate responsible use

Maintain a traceable record of requests, policy decisions, model responses, approvals and agent actions.

A control layer between AI and sensitive healthcare systems

Every request is checked before a model or agent can reach protected data, clinical tools, research systems or business applications.

OPERATING MODEL

How Iftah operates across healthcare and life sciences

Care teams, researchers and applications connect through one governed platform before reaching approved models, health and research data, or enterprise systems.

People and applications

01
  • Care teams

    Clinical teams · Care operations · Member services · Administrative teams

  • Researchers

    Clinical research · Scientific teams · Regulatory operations

  • Applications and AI agents

    Internal applications · AI assistants · Workflow agents

Request or action

Inside the organization’s approved environment

Iftah AI Governance Platform

02

One governed layer for every AI interaction

BuildIA

AI applications and agents

GuardIA

Access, policy and approval

  1. 1Identity
  2. 2Policy
  3. 3Approval
  4. 4Audit
Blocked or sent for human approvalWhen required

DeployIA

Models and AI workloads

TrustIA

Monitoring, evaluation and audit

Observes the complete governed flow
Approved access only

Organization-controlled environment

03

Private cloud, sovereign cloud or organization data centre

  • Approved AI models

    Organization-hosted models · Approved external models · Specialized AI models

  • Health and research data

    Patient and member data · Clinical and trial data · Policies and research content

  • Enterprise systems

    Clinical tools · Research systems · Business applications · Enterprise tools

Monitoring and audit evidence

TrustIA

  • Requests
  • Policy decisions
  • Model activity
  • Agent actions
  • Human approvals
Iftah AI sits between care teams, researchers and applications on one side, and approved AI models, health and research data, and enterprise systems on the other. It applies identity, policy, approval and audit controls.

Where healthcare and life sciences organizations can start

Begin with one focused workflow and apply stronger controls as AI moves closer to sensitive data, clinical decisions, patient communication or regulated research.

01

Workforce and knowledge

Private assistants for policies, procedures, clinical and scientific knowledge, documentation and internal research.

02

Care and administrative operations

Controlled AI assistance for patient and member support, care coordination, utilization management, claims, coding and document workflows.

03

Research and life sciences

Secure AI for scientific research, clinical-trial operations, pharmacovigilance, regulatory content and R&D workflows.

Built to operate within your approved boundaries

  • Deploy in your cloud, data centre or sovereign environment
  • Use approved private or external models
  • Connect through existing identity, security, data and monitoring controls
  • Apply human review to clinical, patient-facing and regulated actions

Start with one controlled healthcare or life sciences use case

We will help define the deployment boundary, permitted data, model access, human-review points, monitoring and audit requirements.

Discuss Your Use Case