Multimodal digital biomarkers for evidence-based mental health decision support and monitoring
A SaMD platform designed to accelerate screening and provide objective insights for clinicians, patients, and health systems.
Product mock
Face mesh
Audio signal
Text features
Model output
The crisis in Ukraine
National-scale demand for mental health support is outpacing clinical capacity.
Pressure timeline
Phase 1
Long-term stress accumulation
Phase 2
Rapid escalation in demand
Now
Capacity gap in diagnosis & monitoring
Crisis signal
Demand curve keeps rising while clinical supply flattens.
9–15M
Need psychosocial help
3–4M
Need medication
69%
Psychiatrist burnout
2–3 yrs
Time to diagnosis
6×
Higher suicide mortality
Designed to be
Objective
Accurate
Evidence-based
Accessible
Fast
What AIREST is
- SaMD Class IIa (EU MDR)
- Screens PTSD, depression, anxiety, mixed anxiety-depressive disorder
- 10–15 min protocol (target 5× faster than psychiatrist consult)
- Target performance AUC/ROC 0.85–0.93
Clinical scope
PTSD / Anxiety
Protocol length
10–15 min
Speed target
5× faster
Target AUC
0.85–0.93
How it works
Step 1
Open a secure link
Step 2
Complete 10–15 min protocol
Step 3
Receive risk + interpretation
Compliance-ready
Value proposition
For patients
- Fast state insight + recommendations
- Reduced stigma
For clinics
- Triage speed 6×
- Objective metrics for diagnosis
- Reduced psychiatrist burnout
- Improved treatment monitoring
For society
- Prevent ~20–26 suicides per 100k screened
- Save €1–4M productivity/taxes
- €281–563M resource savings
- Early diagnosis: -20% costs, -30% hospital days
Market opportunity
EU losses from mental disorders: €600B/year
€1 invested in screening saves €3–5
Insurers seek lower payouts
Digital health growth +18–22% YoY
Traction
Roadmap
M1–5: Regulatory & ethics prep
M6–17: Clinical study & data
M17–22: Build AI platform
M22–24: Clinical product
M24+: EU scaling
Funding & partnerships
Team
CEO
Illia Ogoltsov
Project architect bridging deep learning research and product delivery.
CTO
Nikita Basenko
Leads multimodal feature engine and backend architecture.
COO
Oleksandra Yakovleva
Leads psychosocial programs, clinical sites, and workflows.
CRO / CBO
Bohdan Haran
PTSD researcher with veteran community access; leads studies and stakeholder engagement.
Senior Researcher
Tetiana Lahuta
PhD-level PTSD biomarker researcher focused on interpretable detection.
Senior Researcher
Ostap Kalapun
Medical computer vision & MLOps; leads face/gaze and attention-bias modules.
Cybersecurity
Yurii Ladonia
Leads security architecture, threat modeling, and data-protection controls.