Corti scores 93.3 in a new KLAS Research First Look report

Healthcare software vendors are under more pressure than ever. Clinical environments are complex, compliance requirements are growing, and the demand for AI-powered workflows is accelerating faster than most engineering teams can build. The question for any vendor adding AI capabilities is no longer whether to invest, but how to do it without burning months on infrastructure that isn't purpose-built for healthcare.

KLAS Research, the healthcare IT industry's leading independent research firm, recently published their first First Look report on Corti. Their methodology is straightforward: talk to the customers actually building on the platform, ask them what's working and what isn't, and publish the findings without editorial input from the vendor. We don't see the results until they do.

What customers said

The six healthcare vendor organizations KLAS interviewed are using Corti's APIs and AI infrastructure across a range of clinical use cases, from ambient documentation to agentic workflows. Three themes came up consistently.

The first was healthcare specificity. General-purpose models aren't built for clinical environments. The terminology, the compliance requirements, the data sovereignty considerations, the need for auditable outputs: these aren't edge cases in healthcare, they're baseline requirements. Customers cited Corti's healthcare-specific models as a primary reason they chose the platform over alternatives.

The second was partnership quality. Several customers noted that their developers could speak directly to Corti's engineering team. That kind of access is unusual in infrastructure relationships, and customers called it out as a meaningful differentiator for integration speed and troubleshooting.

The third was development velocity. Healthcare AI is moving fast. Customers said Corti ships new capabilities quickly and makes them available to partners without friction. In a market where standing still means falling behind, that matters.

The scores

KLAS grades vendors across multiple performance indicators. Corti received A+ grades for Partnership, Development and Innovation, and Would Buy Again. Every customer considered Corti part of their long-term plans. Every customer said they would buy again.

What this means for vendors building on AI

Healthcare is entering the agentic era. The vendors that will lead it aren't the ones bolting general-purpose AI onto existing workflows. They're the ones building on infrastructure that understands clinical reality from the ground up: sovereign data handling, compliance-ready architecture, models trained on clinical language, and an agentic framework that handles orchestration so developers can focus on the product.

The KLAS findings reflect what we hear directly from customers. The infrastructure layer matters. When it's built right, the results follow.

The full report is available here.

*Based on limited data. KLAS First Look reports represent early findings.