Top 10 Questions About My Health Gheware (Answered)

1. How much does My Health Gheware cost?

Short Answer: Start 100% free with ₹500 credits (5 comprehensive AI insights). Then choose pay-per-use (₹100/insight) or unlimited subscription (₹1,490/month).

Detailed Pricing Breakdown:

What You Get:

Every comprehensive AI insight (whether free, pay-per-use, or subscription) includes:

• 10-minute AI analysis using Claude Sonnet 4.5 (one of the most advanced AI models)
• Multi-data correlation: Analyzes glucose + sleep + activity + food + medicine simultaneously
• Personalized insights: Sleep-glucose correlations, exercise timing optimization, meal-specific responses
• Professional PDF report: Charts, graphs, correlations, and actionable recommendations
• Email delivery: Share reports with your doctor, family, or yourself

No Hidden Fees:

• ✅ No credit card required for free signup
• ✅ No trial expiration (free credits never expire)
• ✅ No automatic subscription (you choose when/if to upgrade)
• ✅ No data export fees (download all your data anytime)
• ✅ No cancellation fees (cancel subscription anytime)

2. Is my health data private and secure?

Short Answer: Yes. Your data is encrypted (bank-level security), stored on Google Cloud Platform, never sold to third parties, and you can delete everything anytime.

Security Measures:

1. Encryption in Transit (TLS 1.3):
   • All data transmission between your device and our servers uses TLS 1.3 encryption
   • Same security standard used by banks and financial institutions
   • Your glucose, sleep, activity data cannot be intercepted during transfer
2. Encryption at Rest:
   • All data stored in Google Cloud Platform (GCP) with encryption at rest
   • Data is encrypted before being written to disk
   • Even if physical servers were compromised, data would be unreadable
3. Access Controls:
   • Only YOU can access your health data (password-protected account)
   • Two-factor authentication (2FA) available for enhanced security
   • No employees, developers, or third parties can view your data without your explicit permission
4. AI Processing Privacy:
   • AI analysis happens on secure Google Cloud servers (not our local machines)
   • Your data is NEVER used to train AI models
   • Each analysis is isolated (your data doesn't mix with other users' data)
5. No Data Selling:
   • We NEVER sell your health data to advertisers, pharmaceutical companies, or third parties
   • Revenue comes from subscriptions and pay-per-use fees, not data monetization
   • This is explicitly stated in our privacy policy (legally binding)
6. GDPR Compliance:
   • Data handling complies with GDPR (General Data Protection Regulation) standards
   • Right to access: Download all your data anytime
   • Right to erasure: Delete your account and all data with one click

Data Deletion:

You can permanently delete your account and ALL associated data anytime from Settings → Account → Delete Account. This action:

• Deletes all glucose, sleep, activity, nutrition, medication data
• Removes all AI-generated reports and insights
• Revokes OAuth access to connected services (Abbott LibreView, Google Fit, Strava)
• Is irreversible (data cannot be recovered after deletion)

3. How accurate is the AI analysis?

Short Answer: The AI (Claude Sonnet 4.5) is highly accurate at pattern recognition and correlation analysis (85-92% for sleep-glucose, 80-88% for activity-glucose). However, AI provides educational insights, NOT medical advice.

What the AI Excels At:

1. Multi-Data Correlation:
   • Analyzes 5+ data sources simultaneously (glucose, sleep, activity, food, medicine)
   • Identifies patterns humans would miss (e.g., "Your fasting glucose spikes 42 mg/dL when you wake 2+ times between 2-4 AM")
   • Accuracy: 85-92% for sleep-glucose correlations, 80-88% for activity-glucose
2. Statistical Significance:
   • AI calculates correlation coefficients (e.g., r = 0.87 for sleep interruptions vs fasting glucose)
   • Distinguishes real patterns from random noise
   • Requires sufficient data (minimum 7-14 days) for reliable insights
3. Personalization:
   • Insights are based on YOUR unique data, not population averages
   • Discovers what works specifically for your metabolism, schedule, and lifestyle
   • Example: "Morning exercise spikes YOUR glucose (cortisol-driven), but evening exercise reduces it by 40 mg/dL"

Important Limitations:

• Data Quality Dependency: AI accuracy depends on data completeness (more data = better insights)
• Individual Variation: Some patterns may not apply to everyone (genetics, medications, health conditions vary)
• Correlation ≠ Causation: AI identifies correlations; your doctor determines causation and treatment

4. Do I need a CGM (continuous glucose monitor) to use Health Gheware?

Short Answer: No, you do NOT need a CGM. My Health Gheware works with both automatic CGM data import AND manual glucose logging.

Two Options for Glucose Data:

What You Can Do WITHOUT a CGM:

Even with manual glucose logging (4-8 readings/day), My Health Gheware provides valuable insights:

• Sleep-Glucose Correlations: "Your fasting glucose is 28 mg/dL higher on days you sleep less than 6 hours"
• Exercise Timing Optimization: "Post-dinner glucose is 35 mg/dL lower on days you walk 30 minutes after dinner"
• Meal-Specific Responses: "White rice spikes your 2-hour post-meal glucose to 185 mg/dL on average, brown rice to 145 mg/dL"
• Medication Effectiveness: "Your fasting glucose dropped from 165 mg/dL to 128 mg/dL average after starting metformin"

CGM Benefits (If Affordable):

CGM provides more granular data, enabling additional insights:

• Time in Range (TIR): Percentage of time glucose is 70-180 mg/dL (not possible with manual logging)
• Glucose Variability (CV): How much your glucose fluctuates (standard deviation analysis)
• Overnight Glucose Trends: Detect overnight lows or dawn phenomenon (fasting glucose rise 4-8 AM)
• Exercise Response in Real-Time: See exactly when glucose drops during/after exercise

Recommendation: Start with manual logging (free except for test strips). If you find value in the insights and want deeper analysis, consider adding a CGM later.

5. What data sources does Health Gheware integrate with?

Short Answer: Currently: Abbott LibreView (CGM), Google Fit (sleep + activity), Strava (exercise), manual glucose/nutrition/medication logs. Coming soon: Dexcom, Apple Health, MyFitnessPal.

Current Integrations (November 2025):

Coming Soon (Roadmap):

• Dexcom Integration: OAuth sync with Dexcom G6/G7 CGM systems (similar to Abbott LibreView)
• Apple Health: Import sleep and activity data from Apple Watch and iPhone Health app
• MyFitnessPal: Automatic nutrition logging (sync meals, carbs, macros)
• Fitbit: Sleep and activity tracking for Fitbit users
• Continuous Ketone Monitoring: Integration with ketone sensors (for keto dieters, Type 1 users)

6. How long does AI analysis take?

Short Answer: Approximately 10 minutes from clicking "Generate Insight" to receiving your comprehensive report.

Analysis Timeline Breakdown:

1. Data Import & Validation (30-60 seconds):
   • System fetches latest glucose data from Abbott LibreView (if connected)
   • Imports sleep data from Google Fit for the analysis period
   • Retrieves activity data from Strava
   • Validates data completeness (checks for missing days, outliers)
2. Claude AI Processing (8-9 minutes):
   • AI analyzes glucose + sleep + activity + food + medicine data simultaneously
   • Calculates correlations (sleep-glucose, exercise-glucose, meal-specific responses)
   • Identifies statistical patterns and trends
   • Generates personalized, actionable recommendations
3. Report Generation (30-60 seconds):
   • Creates charts and graphs visualizing key findings
   • Formats insights into professional PDF report
   • Sends email notification with download link

Total Time: ~10 minutes

Comparison to Manual Analysis:

• Manual pattern hunting: 5-10 hours to review 2 weeks of data across 5 sources
• Statistical correlation analysis: Requires spreadsheet expertise, 2-3 hours minimum
• My Health Gheware AI: 10 minutes, fully automated, more accurate than manual

You can do other tasks while the AI processes - you'll receive an email notification when your report is ready for download.

7. Can I share my Health Gheware reports with my doctor?

Short Answer: Yes! Every comprehensive AI analysis generates a professional PDF report designed for easy doctor sharing.

What's Included in the PDF Report:

• Glucose Trends: Time in range (if using CGM), average glucose, fasting glucose trends, glucose variability (CV)
• Sleep Quality Metrics: Average sleep duration, sleep stages distribution (light/deep/REM), sleep interruptions
• Activity Summary: Exercise frequency, types of exercise, intensity levels, heart rate data
• Key Correlations Discovered: Sleep-glucose patterns, exercise-glucose effects, meal-specific responses
• AI-Generated Insights: Top 5-10 personalized findings with statistical confidence levels
• Actionable Recommendations: Specific suggestions (e.g., "Improve sleep quality to reduce fasting glucose by ~30 mg/dL")
• Data Visualizations: Charts, graphs, trend lines for easy interpretation

Sharing Options:

1. Download PDF: Save to your device and print for in-person appointments
2. Email from Platform: Send directly to your doctor's email from My Health Gheware
3. WhatsApp/Messaging: Share PDF via WhatsApp, Telegram, or other messaging apps
4. Telehealth Integration: Upload to telehealth portals for virtual consultations

Why Doctors Appreciate These Reports:

• Comprehensive Context: Goes beyond HbA1c (3-month average) to show daily patterns and lifestyle factors
• Objective Data: Replaces patient self-reporting ("I think I sleep well") with measurable metrics
• Medication Effectiveness: Shows real-world response to current treatment plan
• Behavior Change Evidence: Demonstrates impact of lifestyle interventions (sleep, exercise, diet)
• Time-Saving: Doctors can review 2-4 weeks of data in 2-3 minutes (vs 15+ minutes asking questions)

Many users bring My Health Gheware reports to quarterly diabetes checkups to supplement HbA1c tests and provide context for medication adjustments.

8. How is Health Gheware different from other diabetes apps?

Short Answer: Four key differentiators: (1) Multi-data correlation (not glucose-only), (2) Advanced AI (Claude Sonnet 4.5), (3) Affordable pricing (₹100/insight vs ₹5,000-15,000/month competitors), (4) Indian-focused design.

Feature Comparison:

Why Multi-Data Correlation Matters:

Most diabetes apps track glucose in isolation. But glucose is influenced by sleep, stress, exercise, nutrition, medications, and dozens of other factors. Analyzing glucose alone is like trying to understand why your car won't start by only checking the fuel gauge - you're missing critical context.

Example: Your glucose is high (165 mg/dL fasting). A glucose-only app says: "High glucose. Consider medication adjustment."

My Health Gheware AI says: "Your fasting glucose correlates strongly (r=0.87) with sleep interruptions 2-4 AM. On days you wake 2+ times in this window, fasting glucose averages 163 mg/dL vs 121 mg/dL with uninterrupted sleep. Improving sleep quality could reduce fasting glucose by ~40 mg/dL without medication changes."

Same glucose reading. Completely different insights and action plan.

9. What if I don't have diabetes? Can I still use Health Gheware?

Short Answer: Absolutely! My Health Gheware is valuable for anyone interested in metabolic health, fitness optimization, or preventive care.

Who Benefits Besides Diabetics:

1. Pre-Diabetics (HbA1c 5.7-6.4%):
   • Track glucose trends before they reach diabetic levels (HbA1c ≥6.5%)
   • Identify which lifestyle changes prevent progression to Type 2
   • Monitor effectiveness of diet, exercise, sleep interventions
2. Fitness Enthusiasts & Athletes:
   • Optimize exercise timing for fat burning (lower insulin = better fat oxidation)
   • Discover which pre-workout meals provide stable energy vs spikes/crashes
   • Track recovery (poor sleep = elevated glucose = impaired recovery)
3. Weight Loss Goals:
   • Understand how foods affect YOUR glucose (personalized, not generic glycemic index)
   • Identify foods that cause spikes and trigger hunger (glucose crash → cravings)
   • Find meal timing patterns that stabilize glucose and reduce appetite
4. Biohackers & Longevity Seekers:
   • Experiment with intermittent fasting, keto, low-carb and measure actual metabolic impact
   • Test supplements (magnesium, berberine, cinnamon) and verify effectiveness
   • Optimize sleep-metabolism relationship for healthspan and longevity
5. Family History of Diabetes:
   • Proactive monitoring (catch early warning signs years before diagnosis)
   • Understand genetic predisposition through glucose response patterns
   • Implement preventive lifestyle changes based on data, not fear
6. Anyone Wanting to Understand Their Body Better:
   • Discover why you feel energized vs sluggish after certain meals
   • Find your personal carb tolerance (some people handle 100g/meal fine, others need <50g)
   • Learn how stress, sleep, and exercise affect your metabolism

Example: Non-Diabetic Use Case

Deepti, 32, Fitness Enthusiast (HbA1c 5.2%, non-diabetic):

• Uses My Health Gheware to optimize workout performance and body composition
• Discovered morning fasted cardio spikes her glucose (cortisol-driven) and makes her feel drained
• Switched to evening workouts → glucose drops 35 mg/dL, better fat burning, improved energy
• Found her carb tolerance: 80g/meal maintains stable glucose, 120g causes 2-hour spike and afternoon crash
• Adjusted meal timing and composition → lost 4 kg in 8 weeks, energy levels improved 40%

Cost: ₹1,490/month (20 comprehensive insights during optimization phase). After finding optimal routine, reduced to pay-per-use (₹100/insight once per month for maintenance check-ins).

10. What happens to my free credits? Do they expire?

Short Answer: Your ₹500 free signup credits (5 comprehensive AI insights) NEVER expire. Use them whenever you're ready - no time pressure, no trial countdown.

How Free Credits Work:

1. Signup Bonus (₹500 credits):
   • Automatically added to your account upon registration
   • No credit card required
   • No expiration date (credits remain until you use them)
2. Using Free Credits:
   • Each comprehensive AI insight costs ₹100
   • Free credits are used first before any purchased credits
   • Generate insights at your own pace (daily, weekly, monthly - your choice)
3. After Free Credits Are Used:
   • Option A: Add more credits via pay-per-use (₹100, ₹500, ₹1,000 top-up)
   • Option B: Subscribe for unlimited insights (₹1,490/month)
   • Option C: Stop using the platform (no charge, no obligation)

No Hidden Catches:

• ✅ Free credits never expire (use them in 1 week or 1 year - your choice)
• ✅ No automatic subscription after free credits are used
• ✅ No credit card required to claim free credits
• ✅ No "trial period" countdown
• ✅ No feature restrictions (free credits provide same full analysis as paid credits)

Why We Offer Generous Free Credits:

We believe you should experience the value before paying. Five comprehensive AI insights (₹500 worth) is enough to:

• Connect all your data sources (CGM, Google Fit, Strava)
• Generate 2-3 initial insights to discover major patterns (sleep-glucose, exercise-glucose)
• Make initial lifestyle adjustments based on insights
• Generate 1-2 follow-up insights to verify improvements
• Decide if ongoing insights are valuable enough to subscribe or pay-per-use

If you find value, great - subscribe or buy more credits. If not, no hard feelings - keep your free insights and data forever at no cost.

Rajesh Gheware

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IIT Madras alumnus and founder of Gheware Technologies, with 25+ years spanning top investment banks (JPMorgan, Deutsche Bank, Morgan Stanley) and entrepreneurship. When both he and his wife were diagnosed with diabetes, Rajesh applied his decades of data analytics expertise to build My Health Gheware™—an AI platform that helped them understand and manage their condition through multi-data correlation. His mission: help people get rid of diabetes through personalized, data-driven insights. He also founded TradeGheware (portfolio analytics) to democratize investment insights for retail traders.