# Corti

AI platform providing APIs for healthcare developers to build clinical applications.

- Category: Healthcare & Wellness
- Pricing: Contact for pricing
- Tags: Medical AI, API
- Website: https://corti.ai/?via=aigregator
- Aigregator page: https://aigregator.com/tools/corti
- API: https://x402.aigregator.com/v1/tools/corti

## Overview
Corti is an AI platform designed specifically for healthcare and life-science developers to build production-grade clinical applications. It offers a comprehensive stack including speech-to-text, medical coding, text generation, and agentic AI capabilities—all accessible through APIs designed for accuracy, speed, and scale. The platform serves healthcare practitioners by automating documentation, transcription, summarization, and medical coding while providing clinical decision support during patient consultations.

The platform distinguishes itself through its Symphony framework, which powers speech, documentation, coding, and reasoning through unified APIs, enabling developers to focus on building clinical features rather than managing underlying infrastructure. It includes 20+ pre-built AI agents for specific healthcare workflows such as triage assessment, medication reconciliation, and radiology report generation. One notable limitation is that it operates on a credit-based pricing model, which may require careful monitoring for large-scale deployments.
## Key Features
- Speech-to-Text API for medical conversations
- Medical Coding API with structured predictions and audit trails
- Text Generation API for clinical documentation
- Agentic Framework with 20+ pre-built agents (Code Validation, Triage, Medication Reconciliation, etc.)
- Corti Console for prototyping and testing
- JavaScript SDK for rapid integration
- Pre-charting and radiology report generation
- Real-time clinical decision support
- HIPAA compliance and safety-focused infrastructure

## Use Cases
- Ambient clinical documentation: Capture patient visits and automatically generate structured clinical notes
- Medical coding: Streamline revenue cycle management by automating diagnosis and procedure coding
- Radiology report generation: Convert imaging findings into structured reports
- Patient engagement: Automate follow-ups, reminders, and post-care communications
- Pre-charting summarization: Condense long patient records into quick clinical summaries

## Who It Is For
- Healthcare software developers
- Life-science technology companies
- Clinical documentation solution providers
- Healthcare systems and hospitals
- Revenue cycle management platforms

## Pros
- Unified API ecosystem reduces infrastructure complexity—developers handle one credit balance across multiple clinical AI capabilities rather than managing separate systems
- Pre-built healthcare AI agents significantly accelerate time-to-market for clinically-validated workflows like triage and medication reconciliation
- Purpose-built for healthcare compliance and safety with research backing from top venues (NeurIPS, ICML, ICLR, ACL) rather than generic AI platforms adapted for healthcare
- Processes over 1 million clinical interactions weekly, demonstrating proven clinical-grade reliability at scale

## Cons
- Credit-based pricing model can make cost prediction difficult for large-scale or variable-volume deployments without clear tier transparency
- Platform requires API integration, limiting accessibility for healthcare organizations without in-house development resources
- Heavy focus on developer-oriented APIs means less support for end-users seeking plug-and-play clinical documentation solutions

## Alternatives
- [OpenEvidence](https://aigregator.com/tools/openevidence)
- [Glass.health](https://aigregator.com/tools/glasshealth)
- [Freed AI](https://aigregator.com/tools/freed-ai)
- Nuance Clinical Documentation (Dragon Medical)
- MedLM (Google Cloud healthcare AI)

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Source: Aigregator — AI tools directory. https://aigregator.com/tools/corti