No two cancers are the same. Let’s treat it that way.
At Eigen, we’re tackling tumor heterogeneity by utilizing our platform to design combination therapies.
Targeted therapies are incredibly effective
CAR T-cell therapies, antibody-drug conjugates, and other targeted therapies eliminate cells that express a specific target associated with cancer.
But only for some cancers
When target levels vary - which is the case for most cancers - cancer cells escape treatment, decreasing eligibility for patients to receive targeted therapies, and increasing risk of relapse in others.
We help targeted therapies hit their mark
Eigen develops co-therapies that mark cancer cells and unmark healthy cells by modulating the expression of their targets. With better control of target levels, we can reduce side effects and improve outcomes for more patients.
We’ve built a platform to scale
co-therapy development
Our discovery engine uses machine learning and automation to improve existing targeted therapies, develop combination therapies, and make them available for a wider range of cancers.
High-throughput, high-speed combinatorial screening determines drug therapeutic window
Complex phenotypic screening workflow creates more realistic in vitro models
Automated laboratory reduces the time it takes to identify promising therapies
Robotic workcells dutifully execute millions of repetitive laboratory actions with consistency
Custom-developed lab operations software allows for complex biology experiments to be performed like a well-oiled machine
Sophisticated machine learning models and the world’s largest heterogeneity atlas guide co-therapy discovery
High-throughput, high-speed combinatorial screening determines drug therapeutic window
Complex phenotypic screening workflow creates more realistic in vitro models
Automated laboratory reduces the time it takes to identify promising therapies
Robotic workcells dutifully execute millions of repetitive laboratory actions with consistency
Custom-developed lab operations software allows for complex biology experiments to be performed like a well-oiled machine
Sophisticated machine learning models and the world’s largest heterogeneity atlas guide co-therapy discovery
A multidisciplinary problem needs a multidisciplinary team
By combining our expertise in engineering, biology, robotics, and data science, we’re building a platform at Eigen that will enable a single scientist to accomplish feats that would normally take an entire team.
Investors
Learn how we’re unlocking the potential of targeted therapies
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Redwood City, CA 94063
info@eigentx.com