Corti

Corti is an AI platform for healthcare, offering medical-grade speech recognition, conversation summarization, structured clinical notes, and real-time assistance tailored to clinical workflows.

Pricing Model: Free + Paid

Category: Health and Wellness Ai Tools

https://www.corti.ai/

Release Date: 01/09/2016

• Medical-grade automatic speech recognition (ASR) tailored for clinical vocabulary
• Real-time ambient documentation: transcribe and capture doctor-patient conversation
• Clinical reasoning and summarization: convert conversation into structured clinical notes
• Decision support prompts and guideline suggestions during consultation
• Medical coding / tagging (e.g. ICD-10 codes) from conversation
• Foundation models purpose-built for healthcare (Solo, Ensemble, Symphony)
• API / SDK support for building AI workflows in health applications
• Compliant data handling: HIPAA, audit logging, governance, templated BAA support
  Azure Marketplace
• Integration with EHR / medical record systems / interoperability
• Transparent pricing, scalable pay-as-you-go model, enterprise support for custom deployment

Corti is an AI platform built specifically for healthcare workflows, offering voice-driven intelligence and reasoning that help clinicians with documentation, decision support, and clinical summarization. Its mission is to reduce administrative burden in medicine by providing infrastructure and APIs that can be embedded into health applications, EHR systems, telehealth platforms, or ambient assistant tools.

At its core, Corti offers medical-grade speech recognition tailored to clinical vocabularies, enabling accurate transcription of physician–patient conversations in real time. But transcription is just the beginning: Corti couples speech input with medical reasoning models to extract structured insights, generate clinical summaries, tag relevant medical codes, and highlight guideline-based prompts or red-flag suggestions during or after the encounter.

Corti’s architecture is powered by purpose-built foundation models designed exclusively for healthcare. Models such as Solo, Ensemble, and Symphony are optimized for speed, reasoning power, documentation clarity, and domain alignment. These models are trained on clinical data and validated for accuracy, ensuring they outperform generic models in medical contexts.

Developers can integrate Corti via APIs and SDKs, supporting workflows such as ambient clinical notes, AI scribe assistants, decision support agents, documentation pipelines, and telemedicine enhancements. Corti’s pricing model is transparent: no upfront commitments, and usage is billed by token consumption. For example, audio input is priced at about USD 40 per million tokens, text input at USD 5 per million tokens, and text output at USD 20 per million tokens. New users are given $50 in free credits to explore and test the system. corti.ai+2corti.ai+2

Corti also emphasizes compliance and governance. Their system is built with support for HIPAA, audit logs, and enterprise controls. For large organizations or health systems, enterprise plans allow higher scale, custom model fine-tuning, on-prem or private cloud deployment, and enhanced security guarantees.

In recent years, Corti has expanded its scope. They launched a real-time AI assistant for providers that can chat with the clinician mid-visit, cross-check guidelines, propose additional questions, provide translation, and ensure that the consultation is thorough and compliant.  They position this as going beyond a passive AI scribe: actively supporting the provider. The company has also announced partnerships embedding Corti’s ambient documentation into platforms like Philips SpeechLive.

Given its domain specialization, Corti is not intended for general chat or consumer use; rather, it positions itself as the backbone for medical AI applications that require trust, accuracy, and compliance. Its value proposition is that developers and healthcare organizations do not need to piece together separate speech, reasoning, and compliance modules — Corti provides them in an integrated, healthcare-native package.

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