Xiaohe \China

Step 2 - Premium Subscription (Validation): Launch $29/month tier with unlimited AI sessions, advanced features (voice mode, personalized treatment plans, progress tracking), and priority access to human therapists (async messaging). Recruit 10 licensed therapists as contractors for escalation cases. Add B2B pilot with 3 tech companies (50-200 employees) offering MindBridge as employee benefit at $15/employee/month. Growth: conversion funnel from free to paid (in-app prompts after 10 sessions, testimonials, outcome data), employer outreach via LinkedIn, PR in tech/startup media. Goal: 1K paid subscribers, 150 B2B seats, $50K MRR, 80% gross margin. Metrics: free-to-paid conversion (target 5%), churn (target under 5%/month), therapist utilization, employer renewal rate. This validates willingness to pay and B2B model viability.

Step 3 - Geographic Expansion (Growth): Expand to Japan and India with localized AI models (Japanese and Hindi language support, cultural adaptation of therapy techniques). Launch $99/month tier with weekly video therapy sessions + unlimited AI support. Scale therapist network to 50 providers across time zones. Add insurance partnerships in Singapore (integrate with Prudential, AIA for reimbursement). Growth: paid ads on Instagram/TikTok targeting mental health keywords, partnerships with universities and HR platforms, referral program ($20 credit for referrer and referee). Goal: 10K paid subscribers, 1K B2B seats, $500K MRR, break-even on unit economics. Metrics: CAC under $100, LTV over $600, therapist NPS, clinical outcomes (PHQ-9/GAD-7 score improvements). This proves the model scales across markets and segments.

Step 4 - AI Moat and Outcomes (Moat): Build proprietary AI models trained on anonymized session data to improve clinical outcomes. Features: predictive crisis detection (flag users at risk of self-harm), personalized treatment protocols (AI recommends interventions based on what worked for similar users), therapist copilot (AI suggests questions and interventions during sessions). Publish clinical research showing MindBridge users have 40% better outcomes than traditional therapy. Launch API for other healthcare platforms to embed MindBridge AI. Goal: 50K paid subscribers, 5K B2B seats, $2M MRR, Series A fundraise ($10M at $50M valuation). Metrics: outcome data (% users with clinically significant improvement), therapist efficiency (patients per therapist), API revenue, brand recognition (top 3 mental health apps in Asia). This creates defensibility through data network effects and clinical validation—the moat Xiaohe never built.