insitro

We are insitro, a data-driven drug discovery and development company. Our mission is to bring better drugs faster to the patients who can benefit most, by leveraging the power of machine learning and data at scale to decode the complexities of biology and unlock transformative new medicines. We believe that by integrating in vitro cellular data produced in our labs with human clinical data, we can redefine disease and accelerate the development of new medicines. Our platform is engineered to precisely identify therapeutic insights and interventions across a wide spectrum of diseases.

We've cultivated a unique culture where life scientists, data scientists, engineers, and drug hunters collaborate seamlessly. Together, we identify the most critical questions, design and scale experiments, build sophisticated models, and meticulously analyze the results. We embrace our differences as they enhance our collective strengths, allowing our combined expertise to drive scientific breakthroughs. At insitro, we are passionate about rethinking the entire drug discovery process from the perspective of machine learning, human genetics, and high-throughput, quantitative biology. For decades, the development of new medicines has become increasingly challenging and expensive, leaving many patients with significant unmet needs. We are committed to changing this paradigm. Our approach involves creating massive datasets to fuel our machine learning models, enabling us to build predictive models that accelerate target selection, design effective therapeutics, and inform clinical strategy. We are focused on therapeutic programs in metabolism, oncology, and neuroscience, with both wholly-owned and partnered initiatives. We strive to be 'bilingual,' fostering an environment where scientists and technologists learn each other's 'language' to achieve far more than either could alone. Transparency is a core value, reflected in our open communication channels and non-hierarchical culture, because we believe great ideas can come from anywhere.