About the Foundation

AI at the Frontier
of Living Systems

AI Biotechnologies was founded in 2017 to prove that machine intelligence and biological science are stronger together — and that their combination can solve problems medicine has struggled with for generations.

From Vision to Research Reality

In 2017, Philip Odegard recognized that biology had generated more data than human researchers could ever interpret — and that artificial intelligence was the only tool powerful enough to make sense of it. He founded AI Biotechnologies under the Odegard Foundation to bridge that gap.

The mission was straightforward: fund and conduct research that uses AI to accelerate the discovery of drugs, understand how proteins fold, decode genomic signals of disease, and automate the physical work of the laboratory.

Today, AI Biotechnologies operates programs across four core research pillars, collaborating with academic institutions, clinical research partners, and technology organizations to ensure that AI-powered biotech discovery reaches the patients who need it most.

PO
Philip Odegard
Founder & Executive Director

Philip Odegard founded AI Biotechnologies in 2017 as part of the Odegard Foundation's broader mission of using science and technology to improve human life. With a vision of marrying computational intelligence with biological research, Philip established the organization to fund programs that neither traditional biotech nor pure AI research would pursue alone.

Organization Details

Legal name: AI Biotechnologies

Founded: 2017

Type: Nonprofit Research Organization

Parent initiative: Odegard Foundation

Contact: [email protected]

How We Work

Three principles guide every research investment and partnership decision we make.

01
AI as a Scientific Tool, Not a Product

We treat AI as a means to scientific discovery — not a commercial product. Our models and pipelines are built to advance understanding of biology, not to generate proprietary IP for profit.

02
Open Collaboration

Science accelerates when findings are shared. We publish results, collaborate with academic and clinical institutions, and contribute computational tools to the broader research community wherever possible.

03
Patient-Centered Impact

Every program we fund is evaluated against one question: does this bring better treatments closer to patients? Speed and cost efficiency are valuable because they ultimately mean more people helped, sooner.

Four Research Pillars

AI Drug Discovery
Target ID · Generative Chemistry · Molecule Design
Protein Science & Folding
Structure Prediction · Protein Design · Enzyme Engineering
Genomics & Precision Medicine
DNA Analysis · Disease Traits · Personalized Treatment
Lab Automation & Biomanufacturing
Smart Labs · Bioreactors · AI-Controlled Manufacturing
View Research Overview
An initiative of the Odegard Foundation · Founded 2017 by Philip Odegard