INNOVATION PROVEN PSYCHOLOGY + AI TECHNOLOGY
Core AI Approach
At the heart of Tibb lies a system-level AI architecture that combines multiple models to deliver safe, culturally sensitive, and effective wellness support.
1. Understanding & Personalization
- Our AI models are trained to understand user needs, both short-term and long-term, and to match users with culturally appropriate coaching.
- Conversation feature extraction allows us to classify topics into meaningful categories for tailored support.
2. Evidence-Based Coaching
- Downstream from classifiers, LLMs generate personalized coaching grounded in clinically validated methods such as Cognitive Behavioral Therapy (CBT), with adaptive use of Dialectical Behavioral Therapy (DBT) and Interpersonal Therapy where relevant.
- Coaching content is structured into bite-sized, actionable practices for everyday wellness.
3. Guardrails for Safety & Focus
- Natural Language Processing (NLP) and sentiment analysis safeguard both incoming and outgoing conversations.
- Guardrails prevent inappropriate or off-topic content by steering conversations back toward wellness.
- Additional safeguards mitigate LLM “hallucinations” and maintain clinical integrity.
4. Measuring Efficacy
- We use Randomized Controlled Trials (RCTs) governed by Institutional Review Boards (IRBs) to evaluate Tibb’s effectiveness in improving well-being.
- Data from trials and user engagement inform continuous improvement of both our platform and coaching models.
Research Foundations
Our approach draws on a wide body of evidence-based practices:
- Breathing & Meditation—Studies show that practices like Sudarshan Kriya and slow-paced breathing can reduce stress, anxiety, depression, PTSD symptoms, and even chronic pain (Brown & Gerbarg, 2008; Laborde et al., 2021; Seppälä et al., 2014; Warber et al., 2011; Zaccaro et al., 2018).
- Positive Psychology & Gratitude – Clinical trials demonstrate that gratitude exercises and positive psychology interventions improve mental health, resilience, and social relationships (Cunha et al., 2019; Emmons & McCullough, 2003; O’Connell et al., 2016; Wong et al., 2018).
- Mindfulness & Meditation Programs—Systematic reviews confirm meditation’s effectiveness in reducing psychological stress and improving overall well-being (Goyal et al., 2014).
- Self-Compassion—Research highlights self-compassion as a powerful framework for enhancing self-regard and emotional resilience (Neff, 2011).
- Spirituality & Health—Evidence shows that religion and spirituality can positively influence mental and physical health outcomes (Koenig, 2012).
Unbiased AI
Our multiple AI models are specially trained using proprietary and open source training and test data taking care to ensure the core data is free of bias and is representative of the user population.
AI model evaluation
Our AI models performance is continuously evaluated and interpreted to understand and explain the decision making criteria of the model.