
A New Approach to Drug Discovery
For over 80 years, the search for the “one-cure-fits-all” drugs has dominated R&D. We’ve been chasing unicorns—drugs that work universally for every patient diagnosed with a certain condition, regardless of individual differences.
Take cancer, for example.
Nearly 80% of our products are used in cancer res
A New Approach to Drug Discovery
For over 80 years, the search for the “one-cure-fits-all” drugs has dominated R&D. We’ve been chasing unicorns—drugs that work universally for every patient diagnosed with a certain condition, regardless of individual differences.
Take cancer, for example.
Nearly 80% of our products are used in cancer research. Yet, despite multiple decades of effort, any universal cure remains elusive.
Why? Because we are all different. Each of us carries a unique combination of biomarkers, making the idea of a single cure akin to finding a needle in a haystack—statistically improbable, if not impossible.
(A case study at the end of our pitch deck below will illustrate this challenge clearly.)
Pharmaceutical companies have followed this approach for so long that it has become ingrained in the industry’s as well as people's mindset.

But we, along with a growing number of researchers, see things differently.
Rather than searching for a single cure for the entire population, we focus on dividing that population into subgroups, based on similar biomarker profiles. And that is just a start!
By identifying treatments that work for a specific subgroup, researchers can
But we, along with a growing number of researchers, see things differently.
Rather than searching for a single cure for the entire population, we focus on dividing that population into subgroups, based on similar biomarker profiles. And that is just a start!
By identifying treatments that work for a specific subgroup, researchers can then expand the approach, gradually testing whether a treatment remains effective as biomarker variations increase.
This shift in strategy, from blind & random drug discovery to a precision-based, biomarker-driven approach, is at the foundation of our work.
It is also known as the individualization of research samples.
Our mission is to provide such critical clinical biomarker data at the early discovery and preclinical research stages.

Instead of a trial-and-error journey in complete darkness, our approach illuminates the path forward, dramatically increasing the likelihood of success.
Currently, 80+% of drug candidates and the research therein fail reproducibility and clinical translation. And potential cures may have been discarded wrongfully!
We strongly believe t
Instead of a trial-and-error journey in complete darkness, our approach illuminates the path forward, dramatically increasing the likelihood of success.
Currently, 80+% of drug candidates and the research therein fail reproducibility and clinical translation. And potential cures may have been discarded wrongfully!
We strongly believe that by integrating biomarker intelligence early in the process, we can turn the tide and significantly improve outcomes.
This is the future of drug discovery. And First Choice Bio is leading the way.
First Choice Bio, Inc. is currently raising funds to further develop these groundbreaking technologies and set up their own collection centers annex laboratories across the US and beyond to help research bridge that 80+% "valley of death" in the interest of all mankind!
Check out our Pitch Deck and Executive Summary below and
Come and Join us!
For Executive Summary scroll further down please.
Download this Stand-Alone Deck PDF hereFIRST CHOICE BIO, INC.
PO Box 1606 Benicia, CA 94510-4606
Jan Breukers, Founder-CEO
Phone: (1-707) 333-0902
Email: jan@firstchoicebio.com or: info@firstchoicebio.com
https://www.firstchoicebio.com and https://www.quickcells.com
Company Description
We are a 2023 established Delaware C-Corporation and Supplier of Human Cell Samples, which we collect, then instantly (at the moment of Collection) screen for Clinical Data and make both, Samples and Data, available to all Preclinical Research Customers. A.I. will be applied from start to finish, in other words from Donor Recruitment to Customer Feedback Analysis and from local Legal Compliance to Next Location Determination.
Deal Tags
NAICS Code# 541714, Research & Development in Biotechnology | Sample Supply for Physical, Engineering and Life Sciences
Problem
1: 80+ Years of research for the one-cure-fits-all unicorn drugs has given us nothing but indefinite treatments, no cures! (Endless side-effects, in- and exclusions and “Results May Vary!”)
2: Donor and Repeat-Donor Shortages Lack of Donor Diversity Compromises on Sample Quality and Reliability
Solution
1: Blind, random samples from the total population score low (~20%) in reproducibility and translation into Clinical Phase I. Therefore, we suggest to instantly screen samples for biomarkers and mutations, that way dividing the total population into sub-categories, as similar biomarker sequences trigger similar responses. AKA Personalized Medicine. Follow identical paths for neighboring sub-categories, until results become unacceptable.
2: Focus on LMI and BIPOC communities for a more diverse donor Database. And make $$ the main incentive for more (repeat) donors!
Target Markets
We supply all Discovery, Target and Preclinical Research in Biotechnology, Pharmaceutical, Life Sciences, Precision Medicines and Governmental as well as all Academic Research Institutions globally.
Due to the very perishable nature of the product (<48-56 hours) and the global demand we will have to set up collection centers globally.
For this, our first center, the US market of 7 Billion* dollars is our TAM, where California at 900 Million* dollars is the SAM and the San Francisco Bay Area is the SOM with 310 Million* dollars of which we conservatively anticipate to have a ~20% share. .
Within 3 years we therefore believe to be ready to start setting up a second location, and we will speed up that process with experience. (*by 2030)
Milestones-to-Date
● Collaborations in the field of disease state sample supply
● Collaborations in the field of access to disease state donors
● Exclusive, global representation for maternal milk products
● Collaborations in the field of providing laboratory services
● In pre-seed we raised 150K; founders contributed ~1.25M
Competitive Landscape
For the SF Bay Area the main competitors are:
● AllCells: gone clinical, no more Whole Blood collection, $$$$
● BioIVT: multiple centers, but chaotic, preclinical market, $$$
● Canventa: Focused on the owners’ (StemCell Technologies’) needs foremost, relatively small and in the same preclinical market, $$
Value proposition
The need to come up with definite cures is leading towards Personalized Meds, and that starts with First Choice Bio’s Individualized samples accompanied by clinical level data.
Business Model
“Normal” human and disease state human donors are our first products. Unscreened, basic, one-size-fits-all. Our first customers are all preclinical researchers. It is a demand driven market and all potential Customers that reach out are being visited multiple times by “outside” representatives. As sales is not about transactional thinking but about relationships, customizing solutions, referrals and testimonials. Customer education towards screened, individualized SMART samples with data and better outcomes will be an ongoing process.
Pro Forma Financials
Year1 Year2 Year3 Year4 Year5 Year6
Revenue 1.5M 6.0M 18.3M 59.7M 119M 179M
Expenses 821K 3.2M 9.7M 31.7M 63.5M 95.3M
EBITA (Loss) (1.9M) (1.8M) 155K 507K 1.0M 1.5M
Monthly Burn: (103K) (21K)
CA-Comparables
AllCells 2022 acquired by Discovery LifeSciences (~15 yrs)
PPA Berkeley acquired by BioIVT 2019 (~10 yrs)
HemaCare 2020 Acquired by Charles River Laboratories (~42 yrs)
Investment Sought
First Choice Bio, Inc. seeks $5 MM in order to continue to develop the product, be a step ahead of demand, expand its intellectual property, with patents as well as Trademarks, establish more strategic partnerships and collaborations and a first collection center with a laboratory in the San Francisco Bay Area.
And also to integrate A.I. across all departments of the organization.
We have already received and declined 7 M&A offers! So the chances of such M&A to happen at some stage are rather high, but for some time to come (6-9 years and a Series A and B round), those are considered by management as premature.
According to KPMG the exit multiple for NAICS Code 541714 was 16.8x for FY2024!
Management
The Management Team: 120+ years of Industry specific experience;
Advisory Board: add another 45 to 50 years of Life Science experiences, and specific skills such as A.I. (20+) and Business Management Consulting.
Furthermore, our ever-increasing strategic partnerships and collaborations assure us to be on top of the latest developments in the industry and beyond.
This will clear our path to optimize traditional product lines as well as the commercialization of some brand new, and high end, premium products.
Intellectual Property
1: Two Patents pending, more to follow
2: Screening Samples with CellDecoder™ system, Trademark filed
3: Proprietary Data
4: Premium Product Lines as IP
5: Unique workflow as a moat creating IP
6: Global, Exclusive sales representation for a brand-new product (STEMilk, currently 3 Product Lines available)
Management Team
Johannes Breukers CEO; Serial Entrepreneur, Multiple Exits; BS in Computer Sciences & MBA
Auckland, New Zealand
Sam Vasilevsky, PhD COO; Medical Director & Sales; Degree Molecular Cell Biology &
Immunology. Post-doctoral at NIH & University Lausanne
Jason Aulenbach CFO; Pace Institute & Albright College, Bachelor MIS; CPA
Kamran Tahamtanzadeh CBO; Business Development; BA in Molecular & Cellular Biology
GeneticsTrack UC Berkeley