This document discusses developing novel AI algorithms to dramatically reduce the parameters needed to simulate metabolic networks and predict the effects of compounds, mutations, and perturbations. This could help cut costs and time in drug discovery by analyzing genome-size models. The solution aims to allow for personalized treatment based on genetics, lifestyle, and environment. It presents the business model, milestones, competitors, and seeks 150,000 Euro in funding.

2. PROBLEM & CONSEQUENCES
1 approved drug
drug discovery
preclinical phase
clinical trials
regulatory phase
30%
50%
20%
our solution is perfect to cut down both
costs and time of the drug discovery
and the preclinical phase
5000-10000 compounds
250 compounds
5-20 compounds

3. SOLUTION
Research necessity to
predict compounds’
effect on metabolic
networks
Our novel AI-based algorithms dramatically reduce the number of
parameters required for model simulations
LOWER COSTS
Reduces preliminary
and validation
experiments
FEWER ERRORS
Improves the
metabolic
target/biomarker
identification
BETTER ANALYSIS
Provides details on
the dynamics of the
entire system
Kinetic analysis of
genome-size models
is a possible solution

4. APPLICATIONS
Predicting the
effect of
environmental
perturbations or
genetic
mutations
Enhancing the
productivity of
industrial
products
💉
Generating new
biochemical
compounds
Designing new
metabolic
pathways or
improving
existing ones
💊 ⏣
NO MORE ONE-SIZE-FITS-ALL APPROACH
Treat diseases based upon a person’s unique genetic makeup,
lifestyle, habits and environment

5. MARKET
Growth
39%
EUROPEAN
BIOINFORMATIC SECTOR

6. COMPETITORS

7. FUTURE PERSPECTIVES

8. CUSTOMER SEGMENTS
SME
PRIVATE
COMPANIES
PUBLIC
INSTITUTIONS
Limited budget
Limited research field
Big budget &
resources
Research studies in
different fields
Variable budget
Huge amount of
research fields

9. REVENUE MODEL B2B
SME
PRIVATE
PUBLIC
Free €79/month €599/month
DEMO
Limit network size
Free reactions
No support
No limit network size
€0.10 per reaction
Standard support
No limit network size
€0.02 per reaction
Full support

10. MILESTONES

11. SWOT ANALYSIS
S
O
W
T
• Unique service
• Highly specific
• Lower computational
constraints
• Expanding market
• Advancement in machine
learning
• High demand for more
sophysticated prediction
models
• Forecasted world CAGR
13.85%
• Time-consuming MVP
• High entry barriers
• Imitability on case of no
protection of IPR
• Right timing for market
entrance

12. FINANCIALS
BREAK EVEN POINT
20 MONTHS

13. WHAT DO WE NEED
150.000€
MINIMUM 25K FOR 4% OWNERSHIP

14. TEAM

15. FOUNDER