Cura's Science
Burnout by the numbers
Therapist burnout is widespread. Over two-thirds of mental health professionals report moderate to severe burnout, driven largely by non-clinical tasks.
Paperwork fatigue
Burnout predicts higher turnover, reduced care quality and worse outcomes. Clinicians spending more than 35% of their week on paperwork are twice as likely to consider leaving practice within 12 months.
The #1 GenAI Use Case
Harvard Business Review’s April 2025 analysis lists therapy and companionship as the top application for generative AI, reflecting its immense appeal for both personal well-being and clinical augmentation.
Therapy on Demand
In a randomized controlled trial, college students engaging with a fully automated CBT chatbot experienced a 50% reduction in depression symptoms over eight weeks—on par with brief human-led interventions.
Accelerated Recovery
Meta-analysis shows MBC patients improve twice as fast and are 50% more likely to reach reliable recovery than those in standard therapy.
Seamless digital integration
Modern platforms automate symptom tracking via mobile apps and EHRs, boosting clinician adoption by 30% year-over-year and surfacing critical alerts (e.g., suicidal ideation) without adding admin work.
Precision Matching
Machine-learning models now predict the most effective therapy modality (e.g. CBT, ACT, or mindfulness) with 85 % accuracy, eliminating weeks of trial and error.
Just-in-time Support
By analyzing wearable sensor data (sleep, activity, heart rate) and mobile usage patterns, just-in-time interventions can reduce crisis events by 40 %, keeping users on track between sessions.
Seamless care coordination
AI-powered triage bots guide 90% of users to the right level of care—whether that’s self-help modules, peer support groups, or a skilled therapist—on their very first interaction.
