Your Hospital Data Has the Answer. Curiosity Engine Gets It In Minutes.

Curiosity Engine is an AI-powered analytics solution from Kontakt.io that lets hospital executives ask questions about their own operational data (in plain language) and get decision-ready answers in minutes. It unifies data from EHRs, real-time location systems, staffing platforms, and operational tools into a single intelligence layer that leaders can interrogate directly, without waiting on BI teams or consultants. Unlike a dashboard, which only answers questions it was built to answer, Curiosity Engine follows the natural flow of executive thinking: one question leads to the next, scenarios can be tested in real time, and every response includes a confidence score so leaders understand how much weight to give each answer.

Dashboards are built for predefined questions. They are useful when you already know what you want to measure. Curiosity Engine is built for the questions you haven’t thought of yet. Traditional dashboards can’t follow a train of thought. When a leader’s analysis evolves mid-session, a dashboard dead-ends; getting a new answer means raising a BI ticket and waiting days or weeks for a query to run. Curiosity Engine removes that delay entirely. Leaders ask follow-up questions in real time, chain queries across clinical and operational data, and explore “what if” scenarios without breaking their thinking. The system also builds a persistent understanding of how your hospital operates, learning your terminology, your workflows, and your priorities over time.

Curiosity Engine is designed for the high-stakes operational and strategic questions that currently require weeks of analysis or expensive outside consultants. Leaders can ask things like: “If I invest $1 million in service line expansion, which option delivers the greatest return?” or “How would opening additional ICU capacity shift bottlenecks across the rest of the hospital?” It is equally suited to retrospective analysis: did that new discharge protocol actually reduce length of stay? Did last winter’s staff reallocation affect ED throughput downstream? Any question that would normally require a BI request, a consulting engagement, or a multi-week analysis cycle is a candidate for Curiosity Engine.

Yes. Each hospital’s data is isolated to its own instance and is never used to train models outside that environment. Curiosity Engine is built to meet strict healthcare security and privacy requirements, including HIPAA compliance. The platform enforces role-based access controls and maintains full audit trails of queries and outputs, so every interaction is logged and accountable. Executives get the analytical power they need without compromising data governance, patient confidentiality, or their organisation’s regulatory obligations.

Curiosity Engine creates ROI in two ways: by replacing costly alternatives, and by delivering direct operational improvements. A single consulting engagement typically costs $200,000 to $500,000 and delivers a one-time answer. A dedicated BI analyst team runs $300,000 to $500,000 per year. Curiosity Engine starts at approximately $66,000 per year for a 200-bed hospital and provides always-on, continuously updated insight across the entire organisation. On the operational side, modelling across five core use cases (discharge throughput, handoff compliance, asset utilisation, ED boarding, and safety response correlation) points to a combined impact in the range of $1.4 million to $3.0 million per year for a 200-bed hospital. The platform doesn’t deliver a one-time report; it delivers compounding returns the more it is used.