Ensuring realistic, phased implementation of complex biomarker analysis.
Why This Is Unique:
Real-time fusion of 3+ data streams
No current solution combines voice + HRV + biomarkers for hormonal prediction
Privacy-by-design: On-device processing where possible
Scalable to 1M+ users via cloud inference optimization
📈 Validation Metrics & Clinical Proof
Preliminary results from our ongoing clinical validation study.
Metric
Current (Preliminary)
Target (Q1 2026)
Status
Accuracy
88.5%
>92%
On Track
AUC (Area Under Curve)
0.91
>0.95
On Track
Sensitivity (Recall)
87.0%
>92%
Needs Work
Specificity
90.2%
>94%
On Track
False Positive Rate
7.5%
<5%
Needs Focus
ROC Curve (Receiver Operating Characteristic)
📋 Study Status & Next Steps
Current: Preliminary validation with 50 participants (diverse cohort, ages 25-45). Next: Blinded multicenter study with 500+ women starts Q1 2026. Partnerships: In discussion with 3 clinical research organizations.
IRB Approved
Data Anonymized
Full validation report available for due diligence upon request.
IF (high_pollen_today +
ate_fermented_food_yesterday +
poor_sleep +
day_22_cycle)
THEN "Dzień histaminowy: Ryzyko 85%. Unikaj: czerwone wino, sery, awokado"
Personalized risk score (0-100%)
Specific food & activity alerts
Pre-emptive lifestyle guidance
💖 Life Impact
Avoid allergic reactions
Make better decisions
Reduce emotional volatility
Prevent asthma attacks
Improve relationships
Take control of your health
📖 Real-Life Scenario:
"Maria wakes up to notification: 'Today is high histamine day (80% risk).
You ate cheese yesterday, pollen is high, and you're on day 22 of your cycle.'
Instead of having wine with dinner and making impulsive decisions at work,
she takes precautions. No allergic reaction. No regretted decisions.
Just a normal day – because she knew."
🎯 Why This Is Revolutionary:
Current apps track what happened. We predict what will happen
and tell you how to navigate your vulnerable days. It's not just health tracking –
it's life navigation.
Beyond prediction. Real-time, empathetic guidance to manage symptoms and reclaim your day.
Core Idea: Our AI doesn't just alert you—it analyzes your unique data (voice stress, HRV, logs) to generate personalized, actionable antidotes for each symptom.
Symptom → AI-Generated Antidote Matrix
Symptom
Example AI Antidote & Rationale
Hot Flash / Night Sweat
"High probability in next 90 min. Your core temp is rising. Antidote: Sip cool water, remove a clothing layer, and practice 2-min cool breathing (4-7-8)."
Rationale: Based on rising skin temp (wearable) & increased vocal stress.
"Brain Fog" / Focus Loss
"Cognitive fatigue detected. Antidote: 5-min focused breathing (box pattern), then tackle one high-priority task. Avoid multitasking for next 2 hours."
Rationale: Correlated with sleep fragmentation (HRV) & specific vocal flatness.
Mood Swing / Irritability
"Stress markers elevated. Antidote: 7-min walk outside (daylight resets cortisol), then hydrate. Consider postponing difficult conversations."
"Poor sleep continuity predicted. Antidote: Evening routine: no screens after 9 PM, room temp 18°C, try magnesium supplement. Your HRV recovery is suboptimal."
Rationale: Historical sleep data + evening HRV dip pattern.
Each antidote is generated in real-time, personalized to your current physiology, environment, and history.
🎯 The Vision: From Passive Tracking to Active Coping
Current "solutions" offer generic tips. We provide context-aware, actionable commands that change based on your real-time data. This transforms the user experience from "I'm suffering" to "I have a tool to fight back." It's the logical, powerful evolution of empathetic AI for lifelong hormonal health.
🛡️ Defensible Technical Moat
Strong competitive advantages that create meaningful replication barriers.
18+ months of R&D in multimodal time-series analysis
Access to specialized clinical data (not publicly available)
Proprietary fusion algorithm protected by patent applications
Real-time processing pipeline optimized for mobile deployment
Domain expertise in endocrinology + AI + privacy engineering
🛡️
Competitive Advantage Summary
Our moat consists of technical complexity (custom models), protected IP (patents pending), and exclusive data (clinical partnerships).
Even with significant funding, competitors would need 12-18 months to reach similar capability.
⚔️
Competitive Landscape: Why We're Different
Yes, cycle tracking exists. But empathetic, multimodal prediction in real-time doesn't.
Feature / Capability
Oura Ring / Ava
Flo / Clue Apps
Aegisens
HRV + Temp Tracking
✅ Excellent
❌ Manual input
✅ + Voice fusion
Voice Biomarker Analysis
❌ None
❌ None
✅ Core feature
60-min Predictive Alerts
❌ Retrospective only
❌ Calendar-based
✅ Real-time AI
Empathetic AI Interaction
❌ Data only
❌ Notifications only
✅ "Health that senses you"
Multimodal Data Fusion
❌ Single source
❌ Manual entry
✅ Voice + HRV + Biomarkers
Clinical Validation
⚠️ Some studies
⚠️ User reports
✅ IRB study in progress
🎯 The Gap We Fill:
Existing solutions track what happened. We predict what will happen and respond with empathy.
📈 Traction & Scalability
From initial beta to 1M+ users: Our clear path to market leadership.
• Targets Fortune 500 companies
• Reduces sick days by 30%
• $299/employee/year
💰 Unit Economics (Visualized)
Customer Acquisition Cost: $15
Lifetime Value: $1,200
Scale: 1px = $12 | ROI: 80x
Year 1
10,000 users
$1.2M ARR
Year 2
100,000 users
$12M ARR
Year 3
1M+ users
$120M+ ARR
🎯
Traction Thesis Validated
Our path to 1M+ users combines capital-efficient growth (CAC $15),
high retention (LTV $1,200), and multiple scalable channels.
We're building for the $50B women's health market with clear unit economics.
👥 The Team Behind Aegisens
Combining decades of expertise in AI, clinical medicine, and health tech.
Kati, Founder
10+ years in health tech product development. Built AI systems for 1M+ users.
Passionate about making healthcare truly personalized.
👑
Kati, Founder & CEO
10+ years health tech • Ex-product lead at digital health unicorn •
Built AI systems for 1M+ users
Vision & Strategy
🧠
AI/ML Lead
PhD in Machine Learning • Former Google Health AI •
Published 20+ papers on multimodal fusion
Technical Architecture
🩺
Medical Advisor
Board-certified endocrinologist • 15 years clinical practice •
Research lead at major hospital
Clinical Validation
Full team details available under NDA. Currently expanding core team.
Aegisync Tech Core • Stealth Mode Preview • Version 2.0