TRIDENT BIOSCIENCE

Linear algebra is the language of machine learning. Unfortunately, matrices and tensors can obscure your training data, making it hard to debug models that underperform. We're building tools that seamlessly translate between the data representations familiar to scientists (i.e. SMILES strings and protein structures) and those required by ML engineers... Building a useful ML model in biotech can require expertise in everything from medicinal chemistry and structural biology to software engineering. Unfortunately, existing debugging tools do not work well for these multidisciplinary teams. We're making it easy for ML engineers to collect domain knowledge from experts and incorporate it into their model design, preventing wasted money and time... We're building the first machine learning operations (MLOps) platform specifically designed for the biotechnology industry. We understand the challenges of designing, implementing, debugging, and deploying models that run on biochemical data..

Also known as: Trident Bioscience, Inc.