Limbix (by BigHealth)
Evidence-based digital therapeutics for adolescent mental health and behavioral activation.
Corti is a sophisticated clinical AI platform designed to augment the capabilities of healthcare professionals during real-time consultations and emergency dispatch operations. By 2026, Corti has evolved its proprietary Natural Language Processing (NLP) and speech recognition engines to operate with ultra-low latency, specifically tuned for medical environments where background noise and high-stress verbal cues are prevalent. The platform’s architecture integrates directly into telephony and EHR systems, utilizing 'Augmented Intelligence' to listen to patient interactions and provide instant diagnostic suggestions, risk alerts, and automated documentation. Unlike generic LLMs, Corti is built on a massive dataset of validated clinical encounters, allowing it to recognize patterns like agonal breathing in cardiac arrest or subtle symptoms of stroke with high precision. Its market position is defined by its rigorous focus on 'Human-in-the-loop' workflows, ensuring that while the AI provides critical decision support, the final medical judgment remains with the practitioner. The 2026 iteration features enhanced multimodal capabilities, processing both vocal tonality and structured data to reduce physician burnout by automating up to 80% of post-consultation administrative tasks.
Analyzes non-verbal audio cues like breathing patterns, coughing, and background noise to detect critical conditions.
Evidence-based digital therapeutics for adolescent mental health and behavioral activation.
Predictive clinical and operational intelligence to fight death and waste in healthcare.
Predictive medical data and clinical insights for streamlined enterprise underwriting.
The professional medical network for clinicians, providing HIPAA-compliant AI and telehealth solutions.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Extracts structured data from unstructured conversations to populate SOAP notes automatically.
Context-aware prompts that suggest follow-up questions based on the patient's verbal responses.
Scans 100% of recorded interactions for protocol compliance and medical errors.
Support for over 20 languages with specific medical terminology training for each.
Bi-directional data flow between Corti and systems like Epic, Cerner, and System C.
Calculates the probability of specific outcomes based on historical encounter data and real-time inputs.
Dispatchers often miss cardiac arrest signs due to caller panic and background noise.
Registry Updated:2/7/2026
Physicians spend hours after shifts completing clinical notes.
Inconsistent triage decisions lead to unnecessary ER referrals.