Build with AI
Describe the source, destination and mapping. Use samples to inspect and test the proposed implementation.
LINKIIR AI / YOUR TEAM IN CONTROL
Build the connection.
Ask more of your data.
Run Grid with or without AI. Its optional AI Assistant helps you build and troubleshoot integrations when your team chooses to enable it. Linkiir Agent, coming soon, will help turn the data flowing through Grid into dashboards, charts and reports.
Preview Linkiir Agent ↓BUILT INTO GRID TODAY
Describe it.
Review it. Run it.
Ask the optional AI Assistant to build, diagnose or fix an integration. Your team verifies the work and approves commits.
Keep people in control
Actions follow the signed-in user’s permissions. Read-only modes cannot change your projects, and commits always need approval.
Choose your environment
Your administrators control deployment, AI activation, access, models and policies. Choose a self-hosted model or a configured external provider.
Message payloads and password fields are masked before the model sees them. Model requests go to the provider you configure. Linkiir supplies the software; your organization controls its operation.
Explore the AI Assistant documentation ↗LINKIIR AGENT / COMING SOON
Your question.
Your dashboard.
For CMIOs and analytics teams: describe the chart, dashboard or report you need. Agent is being designed to build a view from data made available through Grid, within the access and policies you define.
LINKIIR AGENTCONCEPT PREVIEW · SYNTHETIC DATA
Hospital feedsLinkiir GridApproved data
YOU ASK
Show admissions and discharges over the week.
Reading the approved data
Patient flow overview
EXAMPLE VIEWPlanned capability, shown with synthetic examples. This animation does not query patient data or generate a live report. Available views will depend on connected data, permissions and configured capabilities.
Discuss your Agent use case ↗AI is optional.
Control is yours.
Nothing is enabled or connected on your behalf. Your organization chooses the configuration.
Grid connects and transforms healthcare data with AI switched off. Enable AI when it fits your requirements: choose who can use it, the model provider and the policies that apply. With a self-hosted model, requests can remain within your environment. If you configure an external provider, requests go to that approved endpoint.
Agent is planned to add conversational analytics and reporting, with MCP access where connected systems support it.
Choose the data sources and audiences for each use case. Your team reviews definitions, data quality and outputs before relying on a dashboard or report.
FROM CONNECTION TO UNDERSTANDING