Caregence™ is a HIPAA compliant, healthcare native agentic AI platform from Inferenz. Your teams build AI agents and workflows with drag and drop. Caregence resides inside your own environment, so patient data, code and logs stay with you. It automates operational and administrative work for hospitals, ambulatory providers, home health, hospice and home care organizations.
Caregence™ stands on seven pillars that follow a buyer's questions: who builds, where it runs, what it connects to, and how every action is controlled. Together they form the healthcare-native AI platform behind every workflow, agent and prediction.
Drag and drop the tools, connect your systems and execute the workflow. Your operations team builds the workflows it knows best, without waiting on a data engineering queue.
Communicate, extract, connect, automate and decide from MCP tool library covering email, SMS, Slack, document and audio data extraction, EHR connectors, and LLM agents.
Deployment scripts set up the services, models, databases and network boundaries inside your environment. Your data, logs and models stay there.
Connects to any EHR that supports FHIR, plus Snowflake, Databricks, Postgres and MySQL, with credentials saved once as named connections.
Register your existing fall-risk or readmission ML model endpoint from AWS or Azure and call it from any workflow, with no rebuild. See Caregence Predictive Models.
Ask for details and get a chart, a table and a short summary from your warehouse. Access is read-only, every query is logged, and leaders can ask through the Conversational AI Agent.
Track every agent and workflow run by model, prompt, token use, cost and MCP tool call, so auditors get a clear trail. Dashboards cover adoption, cloud and AI spend, and business metrics.
Our Agentic AI Platform
Caregence™ is Inferenz's next-gen agentic healthcare AI platform, unifying data, automation, and intelligent agents to enable governed, rapid AI workflow automation for healthcare across clinical, operational, and administrative functions, with ready-to-use or custom AI agents for healthcare operations.
Use Cases
Workflow Builder
Agent Orchestrator
Skills and Agents
Predictive Analytics
Unified data model
Use Cases
Outcome-driven applications that combine data, healthcare AI agents, workflows and predictions across the care continuum.
Workflow Builder
A drag-and-drop canvas to design, schedule and monitor end-to-end healthcare workflows.
Agent Orchestrator
The control layer that coordinates agents, models, MCP tools and decisions across complex healthcare workflows.
Skills and Agents
Ready-made agents and reusable skills that execute real-world healthcare tasks across workflows.
Predictive Analytics
Embedded AI models that anticipate risk, demand and outcomes, so teams act early.
Unified data model
Links to the clinical, operational and financial systems you already run, read from your own warehouse at the moment a workflow asks.
Caregence™ connects to the clinical, operational and financial systems you already run: EHR/EMR, payer systems, RCM, CRM, HR, devices and internal tools. Records stay in your warehouse, such as Snowflake or Databricks, and Caregence reads what a workflow or question needs at the moment it asks. Your warehouse remains the system of record.
By analyzing patterns across operational, behavioral and historical data, Caregence™ helps teams act early, from intake to post-care. Predictions feed workflows directly, so a flagged risk can trigger the next step automatically. Explore the Caregence Predictive Models.
Task-level intelligence packaged for healthcare operations. Caregence™ offers ready-made agents and reusable skills for prior authorization, hospice eligibility, caregiver matching, risk analysis and leadership questions. Skills are modular capabilities that agents reuse across workflows.
The AI orchestration layer that makes agents work together. The Agent Orchestrator manages how multiple agents, skills, MCP tools, and models collaborate across complex workflows. It handles sequencing, context sharing, decision handoffs, and governance so agents operate safely and coherently at scale.
No-code AI workflow automation for healthcare, end to end. The drag-and-drop Workflow Builder lets teams design, schedule and evolve workflows across intake, eligibility, care management, staffing and follow-ups. Workflows can read databases, extract data from PDFs, call agents and predictive models, update records and send messages, with a failure alert if a run breaks.
Outcome-driven applications built on the healthcare automation platform. Caregence™ supports use cases across Start of Care, Care and Post Care, including prior authorization, hospice eligibility, patient-caregiver matching, risk monitoring and follow-ups. Each combines data, workflows, agents and predictions. See all Caregence use cases.
Your team creates them, and they belong to you.
Data, logs and models stay in your environment.
Any FHIR-supported EHR, RCM, CRM, storage platforms, SMS, Slack, etc.
Model, prompt, response, MCP tools and cost, recorded per task.
Use our pre-built workflows or build custom agents from scratch.
Adoption of AI in healthcare with Caregence™ changes how care is delivered, measured, and scaled, beyond the cost-effective nature of operations.
administrative load
onboarding
caregiver allocation
Patient satisfaction
Bring one process your team repeats every week. We'll show how it looks on the Caregence canvas, running in your cloud.
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