AI-programmable DNA switches for selective, safe, and adaptive gene therapy

10 experimental cycles
6–12 months until first licence
Seed round: $8 M
“We build the foundation for smart and safe gene therapy — from design to validation.”

Building a Smarter, Safer Future for Gene Therapy

  • Cancer affects everyone — the goal is treatment that’s effective yet gentle.
  • 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

Continuously expanding proprietary dataset
Learning AI model improving with each cycle
Patented, validated sequences forming a unique IP portfolio

Roadmap Timeline (24-Months Structure)

Development Phases 2026–2028

Phase 01

Preparation

Setup team, Platform, Libraries

Phase 02

 MPRA+AI Models

MPRA cycles, AI baseline, Closed loop

Phase 03

 MVP & BD

MVP switches, Assays, BD outreach

Phase 04

Pilot

Production library, Validation, Pilots

Phase 05

Licensing

IP, Licensing, Series A prep

Validation

Quality, transparency, stepwise validation, and safety control.

Cell line

Organoids

Primary cells

In vivo

Financial Model

24-months predictable economics.

Overview
Required budget: $8 M

Costs

Research & Development ≈ $2.5M
Human Resources ≈ $2.9M

Revenue

Projected revenue (Year 2) ≈ $4.7M  

Investor Value / Business Model

Revenue Sources:

Validation

$2.4 M / year

Collaboration

$3.6 M / year

Licensing

$10 M / year

Upsell Path: Validation → Collaboration → Licensing.

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

Cycles: 0
Validated Switches: 0
Partners: 0
ARR: 0
Patents: 0

After 24 Months

Cycles: 10
Validated Switches: 5
Partners: 2
ARR: $4 M+
Patents: ≥ 2 PCT

Team & Resource Structure

Founder & CEO

Malika Gallyamova

  • MSc AI & Computer Science, University of Birmingham
  • Expert in networking and communications
  • Experience managing teams and complex processes
Co-founder & CSO

Nadav Ahituv

  • Professor in Bioengineering & Therapeutic Sciences
  • Director, UCSF Institute for Human Genetics
  • Expertise in functional genomics & gene therapy
Co-founder & CTO

Vitalii Volkov

  • MSc AI & Computer Science, University of Birmingham
  • Graduate of Pirogov Russian National Research Medical University
  • Senior Bioinformatician