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Hippocratic AI
✓ verifiedPaid
Safety-focused healthcare GenAI building patient-facing voice agents for non-diagnostic clinical outreach.
2.7K saves
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Olyup
✓ verifiedFreemium
AI sports-performance chat assistant that tracks fitness, skill, recovery, mental and nutrition goals for athletes.
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Yesil Health
✓ verifiedFreemium
Personal health AI that unifies wearable data, labs and chat history into an evidence-cited daily plan for health-conscious individuals.
3.2K saves
Pricing
No public pricing
Trial: $0 (100K AI words, full features)
Standard: $20/mo (unlimited word count)
Free trial available
No public pricing
Core features
- ✦Patient-facing AI voice agents
- ✦Polaris constellation model architecture
- ✦1,000+ pre-built healthcare agent use cases
- ✦Escalation to human nurses
- ✦Clinical safety validation with clinicians
- ✦Explicit non-diagnostic and non-prescriptive guardrails
- ✦Conversational AI for sports performance
- ✦Tracking across fitness, skill, recovery, mental, nutrition
- ✦Real-time actionable insights
- ✦Focus-area distribution analysis
- ✦24/7 chat responses
- ✦Grounded answers citing 250M+ peer-reviewed papers and FDA data
- ✦25 trackable health programs (sleep, nutrition, labs, vitals, etc.)
- ✦Persistent 'memory' of past labs, symptoms and goals
- ✦Photo or one-sentence meal logging with macro calculation
- ✦Import of prior chat history from ChatGPT, Claude, Gemini or Perplexity
- ✦Daily science-backed micro-challenges tailored to goals
- ✦Mobile app plus a new web app at app.yesilhealth.com
Use cases
- →Post-discharge and readmission-prevention calls
- →Screening and wellness-visit outreach
- →Chronic care management
- →Medication adherence support
- →Clinical-trial and pharma patient follow-up
- →Monitoring athletic training goals
- →Getting instant performance feedback
- →Balancing training focus areas
- →Supporting fitness and recovery routines
- →Tracking chronic conditions like hypertension or diabetes over time
- →Interpreting lab results against clinical guidelines
- →Monitoring sleep, recovery and training load from wearable data
- →Logging meals conversationally instead of using food databases
- →Preparing evidence-backed questions before a doctor's visit
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