Corti is a healthcare AI platform built for developers building clinical-grade medical software. Its Symphony platform provides APIs for medical speech-to-text, clinical note generation, AI-driven medical coding, and agentic clinical workflows. The company targets teams shipping production healthcare applications rather than clinicians using an end-user product directly.
The platform addresses the compliance and infrastructure burden of deploying AI in healthcare. Generic large language models often lack medical rules logic, an auditable trail, and precise clinical terminology recognition. Corti handles clinical entity formatting, code justification, and secure patient data handling so teams can focus on their application layer instead of rebuilding this infrastructure.
Developers integrate through JavaScript and .NET SDKs, plus a dedicated Agent SDK. The platform ingests unstructured input, such as real-time audio or historical patient data, and returns structured, clinically formatted text or medical codes. Corti describes its approach as a reasoning engine with governed memory and automated compliance guardrails rather than a black-box model.
Corti differentiates on healthcare-specific accuracy benchmarks and native clinical formatting, including dosages and units handled during transcription itself. The Agentic Framework adds more than 20 pre-built clinical AI agents scoped for specific workflows such as coding validation and denial appeals. Its research team has published in venues including NeurIPS, ICML, ICLR, ACL, and npj Digital Medicine.
Pricing
Corti uses a single usage-based credit system shared across all APIs, with $50 in free credits on signup and no credit card required. Pay-as-you-go rates include $0.0065 per minute for speech-to-text, and $4 per million input tokens plus $16 per million output tokens for Medical Coding, Text Generation, and Agents. Corti’s own S1 models are priced separately at $2/$0.20 (cached)/$8 per million tokens, with a cheaper S1 Mini tier at $1/$0.10/$4. An Acceleration Pack ($1,000/month, 1,000 credits plus developer support) and custom Enterprise plans are also available, though purchased credits expire one year after purchase.
* Disclaimer: Please note that pricing information may not be up to date. For the most accurate and current pricing details, refer to the official website.
Key Features
- ✓
Real-time WebSocket streaming for low-latency voice dictation
- ✓
Stateful conversational transcription with native speaker diarization
- ✓
Asynchronous batch processing for pre-recorded audio files
- ✓
AI medical coding engine for ICD-10 and CPT prediction
- ✓
Audit trail with source evidence for every predicted code
- ✓
Templated clinical note generation for SOAP notes and H&Ps
Use Cases
Ambient Clinical Documentation
Developers stream clinician-patient audio through the transcription and Text Generation APIs to draft structured notes automatically. Native diarization and fact extraction produce a ready-to-review draft based on a custom template.
Automated Medical Coding
The Medical Coding API reads a clinical note and returns precise ICD-10 and CPT codes with supporting evidence. This gives compliance teams a documented trail for every code assigned without manual review.
Physician Dictation Assistants
The real-time transcription endpoint supports low-latency voice-to-text for EHR navigation and data entry. Spoken dosages and medical terms are formatted correctly without extra post-processing steps.
Pre-Visit Chart Review
The Text Generation API condenses long patient histories into a chronological summary before an appointment. Clinicians get a quick overview instead of scanning through multiple prior notes.
Denial Appeals Generation
Corti’s pre-built Denial Appeals Agent evaluates a claim denial against clinical evidence on file. It then drafts an evidence-based appeal letter for revenue cycle teams to review and send.
Strengths & Weaknesses
Strengths
Independently benchmarked at 98.6% word accuracy on medical dictation, ahead of general-purpose speech models.
Medical Coding API returns source evidence for every predicted code, giving an auditable chain of custody.
Coding logic and annual coding-system updates are maintained natively, avoiding developer-side model retraining.
Clinical formatting for dosages, units, and dates is handled inside the transcription pipeline itself.
A single credit wallet lets teams shift usage freely across speech, text, coding, and agent APIs.
Weaknesses
Purchased API credits expire exactly one year after the date of purchase.
Custom-trained models and sovereign cloud deployments are limited to custom-priced Enterprise tiers.
The platform is developer-facing only, so non-technical teams cannot use it without engineering work.
Live conversational transcription requires managing WebSocket connections, adding architectural complexity for some teams.
Who Is This For?
Healthcare software developers who need clinical-grade AI infrastructure without building their own machine learning pipelines.
EHR and virtual care platforms adding native ambient scribing, dictation, or clinical decision support to their product.
Revenue cycle management vendors that need auditable, high-accuracy ICD-10 and CPT coding to reduce claim denials.
Healthcare enterprises and hospitals that require governed, HIPAA-ready AI deployment with strict data residency needs.
Frequently Asked Questions
How is Corti priced?
Corti uses a shared, usage-based credit system across all APIs, starting with $50 in free credits and no card required, then moving to pay-as-you-go rates.
Do unused Corti credits expire?
Yes. Purchased credits are valid for exactly one year from the date of purchase, so unused balances do not carry indefinitely.
Is Corti suitable for non-developers?
No. Corti is an API and SDK platform aimed at engineering teams, so using it requires integration work rather than a ready-made interface.
What languages does Corti support for transcription?
Corti supports transcription and documentation generation in more than 14 languages, including English, French, German, and Spanish.
Does Corti integrate with existing EHR systems?
Corti does not list pre-built software integrations such as Epic or Salesforce. Instead, it provides SDKs meant to be embedded into any application, including an EHR.
How accurate is Corti’s medical coding compared to general AI models?
On Corti’s published benchmarks, its Medical Coding API scores 74% F1 accuracy, ahead of the general models it tested against.
Is Corti compliant with healthcare privacy regulations?
Corti states it is HIPAA-ready and has completed ISO 27001, 27017, and 27018 audits with zero nonconformities, and it offers sovereign cloud deployment options.
What is the Agentic Framework?
It is a library of more than 20 pre-built, narrowly scoped clinical AI agents, such as a Code Validation Agent and a Denial Appeals Agent, accessed through the Agent SDK.
Who typically builds on Corti?
Healthcare software developers, EHR and virtual care platforms, revenue cycle management vendors, and hospital IT teams building clinical AI features.
Corti functions as an infrastructure API platform rather than an end-user application, so it does not list out-of-the-box software integrations like Epic or Salesforce. It instead provides a JavaScript SDK, a C#/.NET SDK, and a dedicated Agent SDK, all meant to be embedded directly into a developer’s own application. Corti has been used by organizations including Dedalus, Voicepoint, and Speech Processing Solutions, alongside partners it names such as Healthliant Ventures and Apylon, though no independently verifiable customer quotes were available at the time of writing.