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Corti

Corti is a specialised AI platform for healthcare and life-science developers. It provides production-grade APIs and agentic infrastructure for building clinical and administrative AI applications — without managing the compliance, model training, or safety architecture yourself.

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-21T10:35:18.408Z. Cached copy · Source on corti.ai

# Corti

> Corti is a specialised AI platform for healthcare and life-science developers. It provides production-grade APIs and agentic infrastructure for building clinical and administrative AI applications — without managing the compliance, model training, or safety architecture yourself.

Corti is headquartered in Copenhagen, with offices in New York and London. It has raised $100M in total funding (Series B led by Prosus Ventures and Atomico). More than 1 million patient interactions are powered by Corti every week, across health systems including the NHS.

The primary customers are engineering teams at EHR vendors, virtual care platforms, practice management systems, and life sciences organisations who want to embed clinical AI into their own software via API.

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## Core platform: Symphony

Symphony is Corti's unified AI model for healthcare. All four API capabilities route through it — speech-to-text, text generation, agentic workflows, and medical coding — from a single compliant and guardrailed orchestration layer.

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## Capability 1: Speech to Text API

**What it is:** Medical-grade automatic speech recognition (ASR) accessible via API. Designed specifically for the complexity of clinical conversations — not general-purpose audio.

**Endpoints:**
- `/transcripts` — file upload and batch audio processing
- `/streams` — real-time dictation via WebSocket, with interim results returned at a faster rate than final transcripts (configurable via `interimResults` parameter)

**Key parameters (transcripts endpoint):**
- `primaryLanguage` — language code (e.g. `en`, `en-GB`, `de`, `gsw-CH`)
- `isDictation` — boolean, optimises model behaviour for spoken dictation
- `isMultichannel` — boolean, enables separate transcription per audio channel
- `diarize` — boolean, enables speaker separation and identification
- `participants` — array of objects assigning channel numbers to clinical roles (e.g. `doctor`, `patient`)
- `modelName` — selects model tier (`base` or latest version)

**Languages supported:** English (US and UK), Danish, German, Swiss German (dialectical, recommended for AI scribe use cases), Swiss High German (recommended for dictation), French, Swedish, Spanish, Norwegian, Dutch, Italian, Portuguese. All supported languages are rated premier tier, validated against 150,000+ medical terms.

**Performance:**
- 2% word error rate in clinical environments — the lowest published error rate among comparable speech models tested on medical audio
- Validated against one of the industry's largest medical lexicons (150,000+ terms)
- Low-latency, designed for real-time use: bedside dictation, ambient scribing, contact centre triage

**Speaker diarization:** Identifies and separates speakers in real time. Supports multichannel audio (each participant on their own channel) and single-stream diarization. Role labels (doctor, patient, etc.) can be assigned per channel.

**Formatting intelligence:** The model handles clinical formatting automatical
…

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