Corti

Sweet spot: a healthcare software team that wants clinical-grade AI primitives without the cost of training and certifying their own. Corti's heritage in regulated emergency-dispatch use cases means the platform was built compliance-first, which shortens the procurement conversation with hospital CIOs. Failure modes. The biggest is buying APIs and underestimating the product work — ASR + LLM is not a scribe, and the UX layer between Corti's APIs and a clinician's workflow is where most product effort sits. Second, real-time advisory is genuinely powerful but easy to misuse: an alert that fires too often is worse than no alert. Third, multilingual quality is uneven across language pairs — what works in English / Danish (Corti's home market) may not match in less-resourced languages. What to pilot. Pick one well-scoped feature in your product (e.g., ambient note generation for one specialty, or real-time triage advisory in one workflow), wire it through Corti, and ship it to 20–50 internal users for 30 days. Measure latency, accuracy on your specialty, clinician trust, and credit consumption per encounter. If the latency and accuracy clear your bar, the credit math is usually fine; if either misses, the issue is upstream of Corti — your audio quality, your prompt structure, or your specialty fit.

Corti started in emergency medical dispatch — flagging signs of cardiac arrest in real-time 911 calls — and has broadened into a full clinical-conversation AI platform sold primarily as APIs to healthcare developers, EHR vendors, and health-system platform teams. The pitch is different from the standard ambient-scribe positioning: Corti is the AI layer underneath other people's products, not a clinician-facing app. The platform exposes four core APIs. (1) Speech-to-Text tuned for medical conversations and clinical environments, (2) Text Generation that turns clinical data into specialty- and language-specific documentation formats, (3) Medical Coding that produces ICD / CPT / SNOMED codes with supporting evidence and audit trails, and (4) an Agentic Framework for orchestrating clinical workflows. Pricing is usage-based in credits — audio per minute, text per token — with $50 free credits at signup. Compared with Nuance Dragon Medical (the entrenched dictation platform) and DAX Copilot (the ambient scribe), Corti competes by going the platform-API route: build clinical-grade transcription, decision support, coding, and agentic workflows into your own product without retraining a medical ASR model. The differentiation is real — the dispatch-AI heritage shows up as low-latency real-time advisory capability that batch-oriented scribes do not have. Compliance footprint is one of the broadest in healthcare AI: HIPAA, GDPR, FedRAMP, SOC 2, ISO 27001, and others. The platform reports 1M+ clinical interactions per week and integrates with major EHRs, practice-management systems, NHS, and Microsoft healthcare partners.