Ship production grade ambient documentation in weeks
Clinical speech to text, live fact extraction, and structured notes behind one API. Embed the full experience on day one, or build your own on the same stack.
Getting to a demo is fast. Getting to production is where teams stall.
General models miss your vocabulary
Drug names, dosages, measurements, lab values. Accuracy fails on the specifics, not in general.
Your users don't all work in English
Mixed-language consultations and multilingual wards break most speech stacks before you reach the note.
Every specialty wants a different note
One SOAP template covers your pilot. Then cardiology wants their own, and you maintain a variant per customer.
Every layer from a different vendor
Speech from one, templates from another, agents from a third. You want capture, templating, and agents in one place.
Embed a pre-packaged solution or build your own on the API
Embed Corti Assistant
A full ambient scribing experience inside your app in minutes. Web Component, iframe, or Window API, configured to your branding and templates.
Recording, review, editing, and template selection handled for you.
Build on the API
Interactions, streams, facts, templates, and documents as primitives. SDKs for JavaScript, C# .NET, and Python.
Everything above is built on these same endpoints.
Get a working scribe in front of your users this week.
Clinical-grade accuracy at conversational speed
Three things decide whether a speech layer survives a real consultation room.
- Accuracy- built for clinical language, with speaker separation and custom vocabulary for your terms
- Speed- real-time streaming with interim results, fast enough for live agents
- Cost- priced to run on every encounter, not a sampled few
From raw transcript to structured facts
A transcript is a wall of text. FactsR breaks the conversation into typed, machine-readable clinical facts, so note generation, coding, and agents read structure instead of prose.
- Real-time extraction from the stream, typed and grouped into known categories
- Machine-readable JSON you post-process into your own schema
- Inject context from your systems - problem list, appointment reason - as facts
- Async extraction from documents and recordings too
Scale templates without the chaos
Corti Standards
Curated sections and templates available by default. Reference one by UUID and generate a structured note with no authoring at all.
Assemble and inherit
Compose your own from stored sections, or fork a standard so your variant tracks improvements to the parent.
Runtime overrides
Let end users adjust headings, style, or schema for one generation, without you maintaining a variant per user.
Add agents when the note isn't enough
The scribe is the entry point. Once the encounter is structured, run agents over it - which is where most ambient products find their second product.
- Prebuilt connectors for coding, drug information, calculators, literature, and interviewing
- Run an agent as a second pass over a transcript, or on demand from dictation
- Wake-command and fully conversational in-consultation agents
- A2A protocol, MCP, and OpenInference trace export
You own the end customer experience
Your brand, your UI, your workflow
Nobody leaves your software or learns a second tool. Your users never see Corti, and the relationship stays yours.
APIs built for this use case
Interactions, streams, facts, and documents compose into a scribe. Context in, structured note out, without assembling primitives.
EU or US, your choice
Environments and tenants set where data lives. Pick the region your customers require.
Compliance inherited, not rebuilt
Certifications and controls come with the platform, already passing in the most regulated setting there is.
From audio to a structured note
Create an interaction, open a stream, send audio. Transcript and facts arrive live, then generate a document from a template.
- SDKs for JavaScript, C# .NET, and Python, plus a Postman collection
- Real-time capture in the browser, or upload a recording and process async
- An implementation handbook covering workflow, metrics, and rollout
Ambient scribing is a clinical workflow system. The teams that treat it that way are the ones clinicians keep using.
From the Corti build guide
Implementation handbook for ambient documentation
Scale templates without the chaos
More than a million interactions a week
The same platform runs clinical AI for hospitals, national providers, and regulated software vendors across Europe and the US.
Built by people who shipped one
Corti Assistant is a production ambient scribe running on these exact endpoints.
Coding when you want it
ICD-10, CPT, SNOMED, OPS and twenty more systems from the same note, whenever documentation stops being your only product.
Frequently asked questions
How long does it actually take to get something in front of clinicians?
With the embedded Assistant, days to a working scribe inside your app. Building on the API depends on how much of the review and template experience you want to own, but streaming, fact extraction, and document generation aren't the parts that take the time.
Do we have to use facts?
No, you can go straight from transcript to document. We recommend facts because structured input improves the accuracy of everything downstream, but the choice is yours.
Can we support both real-time and post-encounter workflows?
Yes. The Streams endpoint handles real-time transcription and fact generation, and the async path (Recordings, Transcripts, Facts) handles post-encounter processing. Many teams start with one and add the other once they understand their users' network conditions and review habits.
What about specialty-specific templates?
Start with Corti Standards, then assemble your own from stored sections or fork a standard with inheritance. Runtime overrides let individual users adjust a single generation without you maintaining a variant per customer.
Where does the data live?
EU or US, determined by the environment and tenant you provision. The platform already operates in settings with strict residency requirements.
How do we prove accuracy to our customers?
Run the evaluation yourself. We give you tooling to analyse speech-to-text errors and compute word error rate on your own audio, so you hand a prospect their own numbers rather than a benchmark from us.
Do you support dictation as well as ambient?
Yes. A separate real-time dictation endpoint with voice commands, custom vocabulary, text replacements, and device button mapping. Many teams ship both.
What if the connection drops mid-encounter?
The docs cover WebSocket connection management and recovery patterns, and audio health events flag problems during the session. If real-time isn't viable, upload the recording afterwards and process it async through the same pipeline.
Start building today
Create a project, take the free credits, stream a sample consultation. You'll have a structured note before you've finished scoping the build.