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At Corti, we talk a lot about “unlocking workflows”, and for good reason. Behind every API call, every endpoint, and every product decision is a real goal: to make life easier for clinicians and developers building in healthcare.
To learn more, Corti’s Maria Howe and Dan Engel sat down to walk through what our AI platform enables. What follows is a guided tour of the core capabilities that Corti’s API and foundation models unlock, and why that matters.
Making the complex clear
Starting with the big picture, Corti’s AI platform is made up of several powerful models, each designed to support specific types of workflows.
We visualize this as a kind of “nervous system,” where the endpoints act as neural pathways and the data flowing through them becomes the lifeblood, transformed in real time into clinical value. Whether you’re working on transcription, document generation, or complex real-time reasoning, each endpoint gives you the building blocks you need to develop clinical workflows that actually work.
The basics. Transcription and dictation
First up: transcription. This is the bread-and-butter workflow that lets you upload an audio file and return a text transcript. It’s been around in healthcare for decades. But with Corti, it’s lightning-fast, medically tuned, and easy to integrate. You start by creating an interaction (which links all your downstream data), uploading a recording, and calling the transcripts endpoint.
Right alongside it, we have dictation. Unlike transcription, which is asynchronous, dictation is real-time and stateless. You speak, and text appears. Our transcribe endpoint powers this, and it’s ideal for clinicians who want control, speed, and the ability to execute commands like “Insert patient summary.”
Want to build this into your app? We have a Dictation SDK to get you going in under an hour.
Going deeper: Document generation
Next level up would be document generation. This is where we go beyond speech-to-text and into professional content creation. Generating notes from conversations, customized to whatever template structure your workflow needs.
You can go asynchronous (transcribe first, then generate the note) or real-time, where you stream audio and generate facts live. Those facts can then inform a clinical note, all while keeping the clinician in the loop and in control.
And that’s a key principle: transparency and modularity. You’re not locked into one approach. You choose the flow that fits your product, your users, and your system.
Clinical facts: The magical layer
Let’s talk about FactsR, arguably one of the most powerful things our models surface.
Facts are atomic clinical findings pulled from real-time conversation: symptoms, plans, diagnoses, social history, you name it. Each is categorized, traceable, and can be selected, modified, or ignored entirely by the clinician. With its recursive capabilities, it’s a way to see and shape the clinical reasoning process in action.
Facts open up a world of possibilities: triggering clinical decision support, surfacing guideline recommendations, or powering downstream AI tools. All in real time, while the patient is still in the room.
Modularity by design
One of the things emphasized in our walkthrough is the modularity of the Corti platform. You can build just a transcription workflow. Or layer in real-time facts. Or build an entire ambient documentation experience that matches your clinical interface perfectly.
And you’re not limited to one use case. Want to generate a SOAP note and a patient-friendly summary from the same encounter? Just use two different templates with the same facts. Simple.
From API to App: Meeting builders where they are
Not every team has the same technical appetite, and that’s okay. We support integration across four levels:
- API-first: full control, pay-as-you-consume.
- SDKs: pre-built components, faster path to integration.
- Embedded Corti Assistant: plug into your platform via WebView or iFrame.
- Standalone Corti Assistant: fully hosted, ready-to-use application.
No matter where you are on that spectrum, the underlying technology is the same. Same architecture, endpoints, and power, all built on proprietary LLMs, packaged to meet you where you are.
Whether you’re building an ambient scribe, a documentation support tool, or a new kind of reasoning interface, Corti gives you the infrastructure to do it right.
► Start learning: docs.corti.ai
► Start building: console.corti.app