Pattern Recognition
Advanced machine learning that continuously scans HRV, stress, sleep, and recovery data across your entire client base. The AI identifies trends that would take hours to spot manually - correlating sleep disruptions with afternoon stress spikes, linking exercise intensity to next-day recovery, and surfacing patterns unique to each client.
- Automatic trend detection across all vital parameters
- Cross-metric correlations you'd never find manually
- Client-specific baselines that adapt over time
- Weekly pattern summaries delivered to your inbox
Predictive Alerts
Don't wait for problems - the AI detects early warning signs of stress, fatigue, and overtraining before they impact your client's performance or health. By analyzing deviations from individual baselines, the system flags at-risk clients days before symptoms appear, giving you time to intervene proactively.
- Early warning for stress, fatigue, and overtraining
- Individual baseline deviation detection
- Intervene days before symptoms appear
- Reduce client burnout and dropout rates
AI-Generated Reports
Transform raw physiological data into professional, client-ready reports with one click. The AI writes narrative summaries explaining what the data means in plain language, highlights key improvements, flags concerns, and suggests next steps - all formatted with your branding and ready to share.
- One-click professional PDF reports
- Plain-language narrative summaries written by AI
- Automatic highlighting of improvements and concerns
- Save hours of manual report writing each week
Recovery Scoring
Every morning, each client gets a recovery score based on overnight HRV, sleep quality, resting heart rate, and respiratory patterns. The AI calculates daily readiness and recommends whether to push hard, train light, or prioritize rest - taking the guesswork out of training periodization.
- Daily readiness scores based on overnight data
- Training intensity recommendations
- Sleep quality impact on recovery quantified
- Long-term recovery trend tracking
AI that works while you sleep
Automated insights, meal plans, and anomaly detection - running in the background 24/7.
Progress Summaries
AI-generated weekly reports comparing client metrics against their goals. Delivered to your inbox with actionable takeaways.
- Weekly automated delivery
- Goal-vs-actual comparisons
- Actionable coaching suggestions
Anomaly Detection
Flags unusual vital sign patterns that deviate from a client's established baseline - irregular heart rhythms, sudden SpO2 drops, or unexpected temperature changes.
- Baseline deviation alerts
- Multi-parameter anomaly scoring
- Severity-ranked notifications
Automated Meal Plans
AI generates personalized nutrition plans based on client goals, preferences, and physiological feedback. Plans adapt dynamically as data changes.
- Goal-based meal generation
- Dietary preference aware
- Adapts to physiological feedback
Correlation Insights
Connects lifestyle factors with physiological changes over time. Discover which habits, meals, or routines drive the biggest health improvements.
- Lifestyle-to-vitals correlations
- Habit impact quantification
- Data-driven coaching recommendations
From data to insights in three steps
Collect
Continuous data flows from the wearable - HRV, heart rate, sleep, SpO2, temperature, and activity captured 24/7.
Analyze
AI models process each client's data against their personal baselines, identifying patterns, anomalies, and trends.
Act
Actionable insights delivered through your dashboard - alerts, reports, recommendations, and summaries ready to use.
Validated Algorithms
All algorithms are validated through peer-reviewed clinical studies
| Parameter | Validated By | Date | Validated |
|---|---|---|---|
| Heart Rate | CCN | March 2021 | |
| R-R Intervals | CCN | March 2021 | |
| Respiration Rate | Haaglanden Clinics | June 2021 | |
| SpO2 | CMC | June 2022 | |
| Core Body Temperature | GreenTeg | March 2022 | |
| Activity Classification | RadBoudMC | April 2023 | |
| Sleep Staging | PPG-Based Study | July 2017 | |
| A-Fib Detection | Preventicus | May 2018 | |
| Activity Type/Speed | VSO ELAN | November 2019 |