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Following our Dictation API launch, we’ve unpacked why traditional medical dictation is still clunky and rigid. Corti’s Henrik and Kevin talk about how we built our Dictation API and SDK with speech recognition that’s made for clinical workflows at hubs.li/Q03gKtrm0

🔥"We’re entering an age where the difference between a feature and a framework could define whether AI in healthcare becomes a gimmick—or a revolution." 👉Building a Technology as Infrastructure That Fits Healthcare linkedin.com/pulse/building… Corti #sponsored #AI

General AI isn’t built for the nuance of clinical care. In healthcare, language is just the start, what really matters is how it fits into workflows, adapts to context, and handles real-world consequences.

Dictation tools may be familiar in healthcare—but building one that actually works is another story. In our latest story, Corti's CTO and co-founder, Lars Maaløe, shares what it takes to build speech recognition that works in medicine. The full story at hubs.li/Q03hBtBG0

In this week’s Forbes, Kjartan Rist shines a light on how a Corti is taking on some of the biggest challenges in global healthcare. Read the full piece at hubs.ly/Q03hBvyV0

Developers will help reshape healthcare, they just need the right tools to do it. Explore our platform and start building for what healthcare needs. hubs.li/Q03kbDC10

We’re hearing it more and more from engineers building solutions for healthcare: “This is exactly what we’ve been looking for.” With Corti’s API, you don’t have to adapt your workflows to someone else’s product. You can build exactly what your users need, from day one.

Next week, we’re unveiling a new approach that we’ve been building. One that works in real time, puts the clinician in the loop, and is built to support care, not just document it. Join Corti live for the launch on Wednesday, June 11th at hubs.li/Q03qChb70

Healthcare needs 1,000s more AI apps. But: ˣ General AI ≠ medical-grade ˣ Building from scratch is slow + risky ˣ Sameness ≠ specialization hubs.li/Q03qPXwj0 Start from a trusted foundation: hubs.li/Q03qPX6T0

Join us live on Wednesday, June 11th. Register at hubs.li/Q03rcxSy0 Designed to support care, not just document it.

FactsR™ is live. Today, we introduce a new foundation for clinical AI, built not just to document care, but to support it. We’ve been overwhelmed by the response from developers, clinicians, and partners. Thank you. Now, it’s your turn to build: hubs.li/Q03rFb9w0

The healthcare AI revolution has an infrastructure problem: General-purpose AI can’t meet clinical needs. Corti is the first enterprise-ready healthcare AI infrastructure: hubs.li/Q03smqD90

We’re building an AI infrastructure platform that helps healthcare developers unlock real workflows. Learn more at hubs.li/Q03sQ-ys0 Start building at hubs.li/Q03sQZpP0

Being in 10 countries means there's constantly somewhere in the world where we are busy. Today we’re on the ground in Dresden, working with partners across Germany to bring smarter infrastructure to care delivery. The German market is booming. We’re proud to be part of it 🇩🇪

It’s official: Corti is partnering with Voicepoint AG to power the next phase of its Xenon’s® evolution. More about the partnership at hubs.li/Q03thPNc0

Last call to apply for the Corti Hackathon in Copenhagen. We’re soon closing applications for our first Healthcare AI Hackathon at the Corti HQ in Denmark. Spots are limited and going fast. Don’t miss out. 👉 Apply now at hubs.li/Q03twGx60

We’ve partnered with Dedalus, one of Europe’s leading healthcare software providers, to bring real-time speech-powered AI into the heart of clinical workflows. hubs.li/Q03vLldf0

What happens when you give smart people the right tools and a clinical problem worth solving? hubs.li/Q03w9k8W0

Switzerland has some of the toughest data privacy laws. That’s why we chose to launch sovereign-ready AI infrastructure there with the Swiss market leader in speech-based medical documentation, @voicepointag. Europe’s AI moment is coming, Corti’s ready: hubs.li/Q03wpbc90

Primary care visits are booked for 30 minutes, but EHR time averages 36.2 minutes, plus six more after hours. AI scribes have without doubt helped, but many still leave clinicians fixing full drafts line by line. hubs.li/Q03xdv8D0