Corti

Corti is one of the few platforms that tries to cover the entire clinical AI workflow, not just a single point like transcription or coding. For a healthcare developer, that breadth is appealing—you can build dictation, ambient documentation, coding, and prior-auth agents on one API with a unified credit balance. But the practical question is whether you need all that scope or just one slice; if you're only after clean ASR, a specialist vendor might be cheaper and simpler. We'd reach for Corti when you want a compliant, EU-hosted option for coding models—Corti Models stand out because they're hosted on EU infrastructure, a differentiator for teams under strict data sovereignty rules. The recent ISO 27001, 27017, and 27018 certifications strengthen the compliance story, which matters in healthcare procurement. But if you're building a non-clinical tool—say, general speech-to-text for meetings—Corti's healthcare focus is overkill. Where it bites: pricing can climb fast. Speech to Text runs $0.0065 per minute, which sounds low until you scale; text generation and agents bill per token ($4/$16 per million input/output), and heavy ambient scribing could rack up costs. The $50 free credits ease trial, but production costs need careful forecasting. If your volume is huge and predictable, the Enterprise tier's credit bundles might be the only way to keep costs sane. Compare this to point solutions like Deepgram or AssemblyAI for ASR—they're cheaper for generic speech but lack clinical coding and agentic depth. Corti's real competition is other healthcare-specific stacks, like Abridge or Nuance DAX. Those focus on ambient documentation; Corti adds coding, pre-charting, and denial appeals under one roof. Best for a startup building a clinical AI product that spans