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Investor's Portal
Technology & Architecture
System Architecture Flow
- Efficacy Sims
- Side Effect Prediction
Under the Hood
Primary Biomarkers
Performance
Metrics
Data & Validation
Global Data Partners
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Validated by
Science & Industry
Our models are developed and validated through extensive tests on real life data. We have analyzed over 1,000 users during Alpha testing.
Market Analysis
Market Segmentation
$75M
Market Opportunity
Hover over the circles to see the breakdown of the Total Addressable Market, Serviceable Available Market, and Serviceable Obtainable Market.
The Urgency
Projected Dementia Patient Growth
Critical Gap
75% of these patients currently go undiagnosed.
Financials & Projections
Path to Revenue & Fund Allocation
Strategic roadmap for the next 18 months
Commercial Growth Ramp
Use of Funds
Allocation to drive product maturity & market capture.
- R&D40%
- Sales & Marketing35%
- Data Acquisition15%
- Collaborations10%
Clinic Starter
Best for small practices
- Limit: 50 patients
- Audio Analysis
- Basic Forecasting
Advanced
For growing clinics
- Limit: 200 patients
- Digital Twin Simulation
- Medication Management
Enterprise
For large networks
- Unlimited Use
- Custom Model Dev
- Priority Support
Competitor Analysis
The Digital Twin Advantage
Comparing the landscape of cognitive assessment and where Noetika stands apart.
| Feature | Noetika | Winterlight Labs | Altoida | Linus Health |
|---|---|---|---|---|
| Primary Technology | Audio + Digital Twin | Audio (Speech) | AR + Motor + Audio | Multi-modal Screening |
| Non-Invasive Screening | ✅ | ✅ | ✅ | ✅ |
| 84-Month Forecasting | ✅ | ❌ | ⚠️(Predicts conversion only) | ❌ |
| Medication Simulation | ✅ | ❌ | ❌ | ❌ |
| Physician Mgmt. Dashboard | ✅ | ❌(Trial Focused) | ✅ | ✅ |
| Side-Effect Prediction | ✅ | ❌ | ❌ | ❌ |
While players like Winterlight Labs and Canary Speech set the standard for speech biomarkers, and Altoida focuses on diagnostics using AR, Noetika is the first to close the loop. We don't just detect the disease; we use Digital Twin technology (similar to Unlearn.AI's clinical trial models) to simulate medication outcomes directly for the treating physician.