Corti is an AI platform designed to assist emergency responders in the high-pressure environment of medical and public safety dispatch, listening in on phone calls to analyse both spoken information and background cues in real time. Relying on advanced speech recognition and machine learning, Corti identifies signs of critical conditions such as cardiac arrest and drug overdoses, then prompts call-takers with recommendations for immediate evaluation and instructions. This approach not only reduces the odds of missing life-threatening symptoms, but also cuts precious seconds off response times, leading to better clinical outcomes for patients when every moment counts.
Tailored for healthcare professionals, emergency services, and call centres, Corti also provides comprehensive analytics to assist with quality reviews, training, and auditing. By automatically annotating recorded calls, it can flag strengths, potential missteps, or trends, encouraging teams to refine their triage processes and continuously improve protocol adherence. For organisations seeking to offer faster, more reliable care, Corti’s innovative blend of voice analysis, context awareness, and machine learning positions it as a transformative partner in modernising emergency services. With custom integrations and multilingual capabilities, the system adapts to different workflows, eliminating barriers to consistent, high-quality care.
✅ Real-time speech analysis to identify critical health signals
✅ Automatic alerts for cardiac arrest or other high-risk conditions
✅ Background audio and non-verbal cue detection
✅ Detailed case review with automated annotations
✅ Multilingual voice-to-text functionality
⚡ Setup Time: Typically completed within weeks.
⏱ Time Saved: Cuts call handling by up to 20%.
🛠 Integration Difficulty: Moderate for large-scale EMS systems.
💰 Return on Investment: Can significantly reduce operational costs.
📘 Ease of Use: Straightforward for call-takers after brief training.
Corti helps emergency services rapidly pinpoint signs of life-threatening conditions, offering analytics-backed improvements for training staff in GP practices, urgent care lines, and healthcare call centres. For example, a small city clinic might rely on Corti’s real-time prompts to detect severe distress even when a caller is panicked or unclear, ensuring urgent dispatch of paramedics. Larger health systems can use Corti’s analytics platform to audit past calls, highlight learning points for new call-takers, and refine how triage questions are asked, leading to consistent, high-quality service across the board.
Beyond emergency lines, Corti’s AI can be used in telehealth platforms or patient helplines to detect subtle signs of deteriorating health. This is particularly helpful for chronic cases—if a patient’s breathing patterns suggest a possible heart complication, Corti can raise a flag for immediate follow-up. As a result, GP surgeries, multi-clinic networks, and wider telemedicine services can gain advanced visibility into incoming patient calls, reducing misdiagnoses and improving triage flow, whether for mild conditions or acute crises.
Explore detailed pricing options and find the perfect plan for your needs
Pricing details are currently not publicly available. Please visit the product website to enquire about a demo and receive a quote tailored to your needs.
Commonly asked questions about this tool by businesses
Yes, Corti offers on-premises setup for organisations that require local data storage and more control over their infrastructure.
The platform is continually evolving to recognise signs of additional emergencies, such as drug overdoses or strokes, based on further training and data inputs.
Corti’s alerts are designed to supplement human expertise rather than replace it, so operators retain final decision-making authority in every case.
Yes, Corti provides speech and text capabilities across several languages, enabling emergency services to assist culturally diverse communities.
Corti can automate the review of recorded calls, flagging areas of excellence or possible missteps, and reducing manual auditing time while promoting continuous improvement across teams.
Visit the product website to find out more