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Production AI across care delivery, patient operations, and payer workflows. Controlled, auditable, and operated as one system.

Govern clinical, operational, and revenue intelligence on one AI operating layer

Operate Healthcare AI and Agentic AI across clinical support, revenue cycle, patient engagement, and operational environments within a governed execution runtime.

Healthcare AI is deployed across systems. It is not yet operating as one continuum.

Most health systems and payers run AI across diagnostics support, operations, and claims. Few can operate it continuously across care, administrative, and financial environments.

AI Now:

01

Supports clinical and operational decisioning in real time

02

Operates across patient, provider, and payer workflows

03

Assists clinicians, care teams, and operations staff

04

Must be governed during execution, not after deployment

Where healthcare AI breaks without an operating layer

Clinical, administrative, and financial AI operate in silos

Governance sits outside care delivery and operational workflows

Compliance, PHI protection, and audit requirements increase execution risk

Each new use case introduces new tools and fragmented environments

Healthcare organizations are not lacking AI capability.
They are lacking a system to run it across care and operations.

Build Unlimited Healthcare AI and Agentic AI. One governed runtime.

Clinical Intelligence Operating Within Care Workflows

Support clinical decision environments with governed AI execution.

  • Clinical documentation intelligence
  • Diagnostic and triage support
  • Care pathway insights

Revenue Cycle Intelligence Across Financial Workflows

Run AI inside billing, coding, and reimbursement operations.

  • Coding intelligence support
  • Denial prediction and prevention
  • Claims workflow optimization

Patient Engagement Intelligence Across the Care Journey

Operate outreach, engagement, and retention within controlled environments.

  • Patient segmentation intelligence
  • Appointment and adherence insights
  • Care engagement optimization

Operational Intelligence Across Health System Environments

Support staffing, resource allocation, and facility operations.

  • Capacity planning intelligence
  • Workforce optimization
  • Throughput and utilization insights

Agentic Copilots for Clinicians, Care Teams, and Operations

Assist teams with governed decision support across clinical and operational environments.

  • Clinical documentation copilots
  • Care coordination copilots
  • Administrative operations support

Healthcare workflows expanding without new stacks or vendor sprawl

01

Population health intelligence

02

Value-based care analytics

03

Risk stratification support

04

Provider performance analytics

Healthcare AI in production

Real deployment. Measurable operational impact.

case study img

Customer Unification

A leading Health Insurance company that serves millions of policyholders with a strong focus on healthcare integrity, operational scale, and patient-first principles.

Kernel-governed execution across care, operations, and revenue workflows

Policies operate inside clinical and operational environments.

  • Governance-as-code at runtime
  • Policy enforcement across models, agents, and workflows
  • Auditability, traceability, and reversibility embedded into execution

Tailor-made for regulated insurance environments

Designed for compliance-driven, risk-sensitive operations.

ISO 42001
ISO 27001
SOC 2
HIPAA
GDPR
Top Company
top 10 ai startup
winner of pitchjam
challenger-pema-quadrant
best startup application
top ai startup
infosys-finacle

Infosys Finacle’s Open Source Services Partner FY25

insurtech

InsurTech of the Year 2025

Supports governance, audit, and regulatory workflows across underwriting, claims, and servicing.

Scale Healthcare AI without governance gaps, lock-in, or operational fragmentation

01

Operate clinical, operational, and financial intelligence as one governed system

02

Reduce friction across care, revenue, and patient engagement workflows

03

Scale use cases without multiplying infrastructure or vendors

04

Strengthen compliance, audit readiness, and execution accountability

05

Move from isolated AI deployments to enterprise healthcare AI operations

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