AI-programmable DNA switches for selective, safe, and adaptive gene therapy
Building a Smarter, Safer Future for Gene Therapy
- Cancer affects everyone — the goal is treatment that’s effective yet gentle.
- OncoSwitch develops DNA switches that activate only in tumours and stay silent in normal tissue.
- Each experiment is measured by results and progress, not promises.
- The platform ensures transparency, reproducibility, and continuous improvement.
- Every cycle brings us closer to fully customizable gene therapy.
Key Differentiators
Roadmap Timeline (18-Month Structure)
Development Phases 2025–2026
Preparation (0–60 days)
Setup team, lab contracts, and SOPs; build MVP library and risk assessment.
MPRA+AI Models (61–135 days)
2–3 MPRA cycles (~$50k each); generate first sequence–activity data; train model prototype.
MVP & BD Launch (136–180 days)
Clone essays, reports, and demo packages; BD outreach and partner access.
Pilot (6–12 months)
Production library, calibrations, 3–4 cycles, first paid pilot ($200–300k), AUC 0.85–0.90 confirmed.
Licensing (12–18 months)
Extended validation (organoids/primary cells), ≥ 2 PCT patents, licensing/SaaS start, ARR ≈ $1.5 M / year.
Validation
Quality, transparency, stepwise validation, and safety control.
Cell line
Organoids
Primary cells
In vivo
Financial Model & ROI
18-month predictable economics with 1.4× ROI.
Costs
Research & Development ≈ $700 000 Human Resources ≈ 400 000
Revenue
ARR (Annual Recurring Revenue)
≈ $1.5 M / year.
Investor Value / Business Model
Revenue Sources:
Pilots
$225 k × 8 = $1.8 M
SaaS
$50 k × 10 = $0.5 M
Licenses
$0.5–1 M × 1–2 = $1–2 M
Libraries
$50–300 k × 3 = $0.6–0.9 M
Conclusion / Call for Partners
Together Toward Therapy You Can Trust
AI designs, the lab tests, and together they find the most precise DNA switches. We build a platform that makes therapy customizable, safe, and effective — with hope, not fear.
Before
After 18 Months
Team & Resource Structure
Compact, Efficient Team
Malika Gallyamova
- MSc AI & Computer Science, University of Birmingham
- Expert in networking and communications
- Experience managing teams and complex processes
Vitalii Volkov
- MSc AI & Computer Science, University of Birmingham
- Graduate of Pirogov Russian National Research Medical University
- Senior Bioinformatician at Genomed
