Latest news with #Corti
Yahoo
2 days ago
- Health
- Yahoo
Corti launches new FactsR system for clinical consultations
Healthcare technology company Corti has introduced FactsR, a real-time agentic reasoning system designed for clinical consultations. This system aims to lessen 'note bloat' driven by general-purpose AI by 65%, ensuring that medical records remain precise and relevant to the actual clinical conversation. FactsR stands out from traditional large language model (LLM) pipelines adapted for healthcare by utilising Corti's recursive fact-first reasoning loop. By minimising the need for post-visit edits and transforming passive transcripts into active clinical intelligence, FactsR paves the way for real-time decision support directly at the point of care. Offered as a modular API, the system enables developers to integrate clinical-grade intelligence into healthcare applications, fostering safer AI experiences. It allows for the creation of AI that delivers concise and accurate results, which clinicians can interact with during consultations. FactsR operates in four key areas. Firstly, it listens and extracts structured clinical facts in real-time, such as symptoms and medications, during the consultation. Secondly, each fact is vetted and refined through a specialised AI-driven feedback loop, ensuring accuracy and consistency. Later on, clinicians have the opportunity to review and adjust the facts, maintaining control and complementing clinical judgement. Lastly, the system generates electronic health record (EHR)-ready notes that are concise and free from irrelevant content, leading to reduced screen time and improved focus on the patient. chief technology officer and co-founder Lars Maaløesaid: 'By breaking conversations into structured clinical facts and validating each one through recursive reasoning, FactsR elevates ambient documentation into a foundation for real-time clinical intelligence. 'When AI can listen, understand, and reason with medical context, it becomes more than a scribe - it becomes a trusted collaborator. With a developer-friendly API, we're enabling any healthtech company to embed this capability directly into their applications - safely, scalably, and in minutes.' In October 2024, Corti announced a collaboration with US-based Tanner Health and its subsidiary Healthliant Ventures. "Corti launches new FactsR system for clinical consultations" was originally created and published by Hospital Management, a GlobalData owned brand. The information on this site has been included in good faith for general informational purposes only. It is not intended to amount to advice on which you should rely, and we give no representation, warranty or guarantee, whether express or implied as to its accuracy or completeness. You must obtain professional or specialist advice before taking, or refraining from, any action on the basis of the content on our site.
Cision Canada
3 days ago
- Health
- Cision Canada
Introducing FactsR™ by Corti -- the First Clinical Reasoning Layer for Ambient AI in Healthcare
Real-time, recursive, fact-first architecture reduces AI-generated "note bloat" by 65 percent and minimizes post-visit edits - transforming passive documentation into active clinical intelligence. COPENHAGEN, Denmark, June 11, 2025 /CNW/ -- Corti, the leading infrastructure layer for building clinical-grade AI in healthcare, today announced the launch of FactsR™, a breakthrough real-time agentic reasoning system for clinical consultations. Designed with ambient documentation in mind, FactsR™ reduces general purpose AI driven "note bloat" by 65 percent, keeping records precise, relevant, and tightly aligned with the actual clinical conversation. By minimizing post-visit edits and transforming passive transcripts into active clinical intelligence, FactsR™ sets a new benchmark for ambient AI in healthcare - while unlocking the path to real-time decision support at the point of care. Unlike traditional LLM pipelines retrofitted for healthcare, FactsR is powered by Corti's recursive fact-first reasoning loop - a purpose-built engine designed to surface, validate, and structure clinical knowledge in real time as conversations unfold. Delivered as a modular API, it enables developers to embed clinical-grade intelligence directly into their healthcare applications - creating safer, leaner, and more trusted AI experiences at the point of care. Why a recursive approach matters Traditional ambient solutions pipe raw transcripts through generic models after the consultation has ended, producing verbose, error‑prone summaries that clinicians spend up to three hours a week correcting. FactsR reflects a foundational shift in AI system design - from passive summarization to active reasoning. It allows developers to build AI that offers more concise, accurate results that clinicians can interact with live, in consultations and beyond. The process unfolds in four key stages: Listen and Extract in Real Time As the consultation unfolds, FactsR continuously identifies and surfaces structured clinical "facts" - such as symptoms, vitals, medications, and social history - while the conversation unfolds, live. Vet and Refine with Specialized AI Each fact is automatically reviewed and improved through an AI-driven feedback loop. If something is unclear, the system refines it until it is accurate, consistent, and ready to use - no guesswork, no clutter. Clinician-in-the-Loop Clinicians can quickly review, accept, or adjust facts as they go. Early adopters report far fewer post-visit edits and rarely need to add missing information after the consultation. This design keeps clinicians in control, ensuring that AI augments rather than replaces clinical judgment. Generate EHR-Ready Notes Once the facts are finalized, the system assembles a clean, concise summary - free from long, verbose summaries or irrelevant content. This means: Less Screen Time Early trials show that users spend minutes, not hours, on corrections Better Patient Focus Real‑time reasoning means decisions stay in the consultation, not in hindsight. Audit‑Ready Transparency Every fact carries a timestamp, confidence score, and link back to the conversation. Healthcare AI that Delivers Reduces general purpose AI driven "note bloat" by 65 percent. The innovation behind FactsR has been published together with evaluation results on the public benchmark Primock57 dataset. The evaluation shows that FactsR increases clinical completeness by 13 percent - capturing significantly more of the relevant medical information compared to traditional ambient scribes - while reducing note bloat by over 65 percent with a clinician-in-the-loop. "Corti's system already does an excellent job capturing clinical details accurately, even in natural conversation," said a beta user from an IT team in a regional Danish hospital. "But when testing this new innovation, what really stood out was the shift toward structured, recursive fact extraction. It goes beyond basic transcription to surface the right clinical facts in real time - exactly what busy clinicians need to stay focused and cut down on documentation overload." "FactsR exemplifies Corti's core philosophy: healthcare AI must be purpose-built, real-time, and accountable," said Lars Maaløe, CTO and co-founder of "By breaking conversations into structured clinical facts and validating each one through recursive reasoning, FactsR elevates ambient documentation into a foundation for real-time clinical intelligence. When AI can listen, understand, and reason with medical context, it becomes more than a scribe - it becomes a trusted collaborator. With a developer-friendly API, we're enabling any healthtech company to embed this capability directly into their applications - safely, scalably, and in minutes." Availability FactsR is offered today through a consumption‑based API with enterprise‑grade HIPAA and GDPR compliance. Developers can start for free at and access SDKs for safe and effective app building in as little as 30 minutes. A self‑hosted option for on‑prem or sovereign‑cloud deployments enters limited preview this summer. About is a research and development company building state‑of‑the‑art AI foundation models for healthcare. The company's mission is to eliminate administrative hurdles and bring expert‑level reasoning to every corner of the globe, driving down costs and improving quality of care. Corti's models integrate seamlessly into any healthcare application through SDKs and APIs, enabling vendors, providers and payers to leverage safe, cutting‑edge AI across an extensive range of clinical use cases.
Yahoo
3 days ago
- Health
- Yahoo
Introducing FactsR™ by Corti -- the First Clinical Reasoning Layer for Ambient AI in Healthcare
Real-time, recursive, fact-first architecture reduces AI-generated "note bloat" by 65 percent and minimizes post-visit edits - transforming passive documentation into active clinical intelligence. COPENHAGEN, Denmark, June 11, 2025 /CNW/ -- Corti, the leading infrastructure layer for building clinical-grade AI in healthcare, today announced the launch of FactsR™, a breakthrough real-time agentic reasoning system for clinical consultations. Designed with ambient documentation in mind, FactsR™ reduces general purpose AI driven "note bloat" by 65 percent, keeping records precise, relevant, and tightly aligned with the actual clinical conversation. By minimizing post-visit edits and transforming passive transcripts into active clinical intelligence, FactsR™ sets a new benchmark for ambient AI in healthcare - while unlocking the path to real-time decision support at the point of care. Unlike traditional LLM pipelines retrofitted for healthcare, FactsR is powered by Corti's recursive fact-first reasoning loop - a purpose-built engine designed to surface, validate, and structure clinical knowledge in real time as conversations unfold. Delivered as a modular API, it enables developers to embed clinical-grade intelligence directly into their healthcare applications - creating safer, leaner, and more trusted AI experiences at the point of care. Why a recursive approach matters Traditional ambient solutions pipe raw transcripts through generic models after the consultation has ended, producing verbose, error‑prone summaries that clinicians spend up to three hours a week correcting. FactsR reflects a foundational shift in AI system design - from passive summarization to active reasoning. It allows developers to build AI that offers more concise, accurate results that clinicians can interact with live, in consultations and beyond. The process unfolds in four key stages: Listen and Extract in Real TimeAs the consultation unfolds, FactsR continuously identifies and surfaces structured clinical "facts" - such as symptoms, vitals, medications, and social history - while the conversation unfolds, live. Vet and Refine with Specialized AIEach fact is automatically reviewed and improved through an AI-driven feedback loop. If something is unclear, the system refines it until it is accurate, consistent, and ready to use - no guesswork, no clutter. Clinician-in-the-LoopClinicians can quickly review, accept, or adjust facts as they go. Early adopters report far fewer post-visit edits and rarely need to add missing information after the consultation. This design keeps clinicians in control, ensuring that AI augments rather than replaces clinical judgment. Generate EHR-Ready NotesOnce the facts are finalized, the system assembles a clean, concise summary - free from long, verbose summaries or irrelevant content. This means: Less Screen TimeEarly trials show that users spend minutes, not hours, on corrections Better Patient Focus Real‑time reasoning means decisions stay in the consultation, not in hindsight. Audit‑Ready Transparency Every fact carries a timestamp, confidence score, and link back to the conversation. Healthcare AI that Delivers Reduces general purpose AI driven "note bloat" by 65 percent. The innovation behind FactsR has been published together with evaluation results on the public benchmark Primock57 dataset. The evaluation shows that FactsR increases clinical completeness by 13 percent - capturing significantly more of the relevant medical information compared to traditional ambient scribes - while reducing note bloat by over 65 percent with a clinician-in-the-loop. "Corti's system already does an excellent job capturing clinical details accurately, even in natural conversation," said a beta user from an IT team in a regional Danish hospital. "But when testing this new innovation, what really stood out was the shift toward structured, recursive fact extraction. It goes beyond basic transcription to surface the right clinical facts in real time - exactly what busy clinicians need to stay focused and cut down on documentation overload." "FactsR exemplifies Corti's core philosophy: healthcare AI must be purpose-built, real-time, and accountable," said Lars Maaløe, CTO and co-founder of "By breaking conversations into structured clinical facts and validating each one through recursive reasoning, FactsR elevates ambient documentation into a foundation for real-time clinical intelligence. When AI can listen, understand, and reason with medical context, it becomes more than a scribe - it becomes a trusted collaborator. With a developer-friendly API, we're enabling any healthtech company to embed this capability directly into their applications - safely, scalably, and in minutes." AvailabilityFactsR is offered today through a consumption‑based API with enterprise‑grade HIPAA and GDPR compliance. Developers can start for free at and access SDKs for safe and effective app building in as little as 30 minutes. A self‑hosted option for on‑prem or sovereign‑cloud deployments enters limited preview this summer. About is a research and development company building state‑of‑the‑art AI foundation models for healthcare. The company's mission is to eliminate administrative hurdles and bring expert‑level reasoning to every corner of the globe, driving down costs and improving quality of care. Corti's models integrate seamlessly into any healthcare application through SDKs and APIs, enabling vendors, providers and payers to leverage safe, cutting‑edge AI across an extensive range of clinical use cases. 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Forbes
15-04-2025
- Business
- Forbes
Addressing The Major, Global Challenges From Denmark
We live in an age defined by paradox. Technological advancement is accelerating at breakneck speed, and yet when it comes to one of the most essential sectors of human existence – healthcare – we are still playing catch-up. With ageing populations, soaring demand for preventative care and a shrinking pool of medical professionals (about 25% of whom are considering a career change), the global healthcare system is teetering on the edge. And while many look to Silicon Valley for salvation, an unlikely tech saviour is quietly brewing up north. Enter Denmark. Yes, Denmark is far more than charming bike lanes and pastry-fuelled contentment. It has quietly emerged as one of Europe's most promising tech hubs, and if you're looking for examples of the kind of innovation that might just save the world - or at least improve your next visit to the hospital - then you need look no further than Corti. A Nation of Builders, From Longboats to Language Models Let's rewind a bit. The Danes have always punched above their weight. The Vikings weren't just warriors; they were also designing some of the most effective seafaring vessels of their time. Innovation is part of Denmark's DNA, and centuries later, that legacy is still alive. Take a stroll through Copenhagen and you will find world-class institutions like the Niels Bohr Institute, the Technical University of Denmark (DTU), and Copenhagen University. These aren't just ivory towers – they are hothouses for deep science, mathematics, physics, and increasingly, AI. Denmark also gave us insulin, Bluetooth, Google Maps (thanks to a Danish acquisition), PHP and some of the most advanced signal processing tech used in hearing aids today. Not bad for a country with fewer people than London. This unique combination of scientific heritage, export-oriented thinking and a Viking-level ambition to explore and conquer makes Denmark the perfect launchpad for global tech ventures. Which brings us back to Corti. Corti: Building the AI Enterprise Models Healthcare Deserves Corti was founded by two Danes, Andreas Cleve and Lars Maaløe, who had a radical idea: what if you built a Generative AI platform specifically tailored for healthcare? Not a general-purpose AI that might help with everything from writing poetry to recommending sushi restaurants, but a tool that actually understands the unique complexity of medicine. Both founders come from families steeped in medical professions and both have seen first-hand what happens when healthcare systems are stretched too thin. Since 2017, they've been developing models trained on real-world medical conversations. When the COVID-19 pandemic hit, the world may have ground to a halt, but for Corti, it was rocket-fuel. Their voice-based AI models quickly became more accurate, more responsive and – crucially - more trusted. Corti isn't trying to replace doctors. It's trying to make every doctor faster, more informed and more precise. The Scalpel, Not the Swiss Army Knife Now, let's talk about scale. While the big boys - OpenAI, Gemini, StabilityAI etc. - are busy building multi-purpose Swiss Army knives, Corti is building a scalpel. In healthcare, 98% accuracy isn't good enough. You don't want a chatbot guessing whether you're having a heart attack or just heartburn. You want a system trained specifically to know the difference. That's the genius of Corti. It doesn't pretend to be everything to everyone. It focuses on clinical use cases, where the final 1-2% in accuracy can mean the difference between life and death. And unlike general models, Corti's systems can reuse global medical condition data in ways that scale intelligently across borders. What's learned in a hospital in Detroit can benefit a clinic in Dakar. Corti's API Strategy: If You Build It (Right), They Will Come Initially, Corti sold products that were built on its foundational model directly to healthcare stakeholders like hospitals, universities, clinics etc. Turns out, that's like trying to sell a Formula 1 engine to someone who just wants a reliable bicycle. The buyers weren't quite ready. So Corti did what smart start-ups do: it pivoted. In 2025, it launched an API layer that allows existing healthcare software providers to integrate Corti's specialised AI seamlessly, specialised APIs to software developers rather than an app to the end user. The idea? Don't change the tools that doctors and nurses already know - just supercharge them. Since launch, there's now a waiting list to onboard Corti's API solution. It turns out the world doesn't just want better AI in healthcare. It needs it. The model delivers real-time feedback, improves efficiency and enhances accuracy. In other words, it lets medical professionals do what they do best - but faster, with fewer mistakes and more time for patients. Imagine a world where you get the right diagnosis, first time. That's not science fiction. That's Corti. Global Mission, Danish Roots Corti's rise is more than just a start-up success story. It's a lesson in how you can build capital-efficient, highly specialised AI platforms without raising billions of dollars or relocating to the Bay Area. That should be music to the ears to European founders or any founder who's been told they need a 10,000-square-foot office and a rocket launchpad to be taken seriously. It's also a tribute to Denmark's tech ecosystem. This is a country that supports deep tech innovation, educates top talent and thinks globally from day one. Whether it's exporting bacon, wind turbines or language models, Denmark knows how to scale. The Bottom Line We're facing a global healthcare crisis. Doctors are burning out, systems are creaking and patients are suffering. But from the quiet streets of Copenhagen, a start-up is showing the world what's possible when you combine technical rigour, clinical empathy and a laser-focused mission. Corti may not be a household name yet, but in the world of healthcare AI, it is already making waves. And if you are wondering where the next big leap in med-tech will come from, don't be surprised if it comes from the country that produced Lego and Bang & Olufsen. So, to all the founders and investors out there looking for the next frontier: Look north. Denmark isn't just ready for the challenge - it's already building the solution.
