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We are rebuilding biotech for the AI era.
When a breakthrough is delayed, the world waits. Getting a molecule from discovery to patients, or a crop from lab to field, involves thousands of slow, manual, disconnected steps. AI has the potential to change this, compressing decades of R&D work into years. But that only happens when clean, structured scientific data and AI are built into how science gets done.
Benchling is the AI platform for biotech R&D. Scientists use Benchling to design experiments, capture structured data, and run AI agents and models directly in their workflows. Over 200,000 scientists around the world trust Benchling to power their most important work, from academic labs to Sanofi, Moderna, and more than half of the world's top 50 biopharma.
CureMetrix is committed to the advancement of technology that improves disease detection and survival rates worldwide. Our AI-based products and research are focused on leveraging artificial intelligence and deep learning to develop the next generation of medical image analysis technology that radiologists and patients can confidently rely on.
Today, our powerful image analysis platform is an adjunct, precision tool for mammography. Our goal is to equip radiologists with the objective, data-driven answers they need to support patients and their healthcare team as they make decisions about their health. At CureMetrix, we believe that providing radiologists with the most advanced technology to support their evaluation of mammograms will lead to improved clinical outcomes, reduced healthcare costs, and increased assurance that patients are getting the highest standard of care available from screening.
Over the last 10 years since our founding in 2014, we have focused on building products with extremely high efficacy that are easy to install, operate within existing clinical workflows, and minimize extra steps from radiologists and patients. CureMetrix has partnered with practicing radiologists, cardiologists, and esteemed institutions around the world to collect over 5 million images to train and validate our algorithms. From breast cancer to heart disease to kidney disease we believe that AI can be used to improve outcomes for patients and extend the impact and value of screening programs globally.