Strategy and Roadmap Development
We guide clients through complex decisions about how to empower discovery and clinical research. We help organizations choose the right scientific, technology, and computational options for the future, creating plans and governance to drive change. Then we support them on their journey to a successful outcome.
Scientific Informatics: Software Design and Implementation
We have extensive expertise in the design and development of complex scientific systems, as well as the integration of third-party and custom cloud analytics, visualization, simulation, and ML/AI systems to meet our clients’ data storage, analysis, and reporting needs.
Laboratory Data Systems Design, Integration & Optimization
We help clients select, configure, and deploy ELNs and LIMS software to manage, organize, and streamline lab operations, ensuring labs are using the most appropriate techniques for rapidly integrating, sharing, and analyzing their data.
AI and Machine Learning: Generating Novel Insights
Our strategy, planning, and implementation capabilities enable us to create and execute AI and ML roadmaps to tackle client challenges. This includes developing novel methods and architectures, creating patentable IP and IP strategies, and deploying appropriate AI and ML technology to address client needs.
Computational Sciences for Biology and Chemistry Research
We apply cheminformatics, bioinformatics, and machine learning methods to solve problems in small- and large-molecule drug design, molecular dynamics, screening, biomarker identification, and a range of other problems in drug and diagnostic discovery.
Data Science for Clinical Trials and Healthcare
We develop and apply data analytics, curation, integration, and processing methods to meet client challenges and increase productivity. We execute clinical data science using robust tools to ensure the work is reproducible, traceable, and accurate.
Data Engineering, MLOps, and CloudOps
We provide foundational capabilities across multiple cloud architectures, technology stacks, and ML/Ops environments. This includes design and infrastructure expertise for hierarchical storage management, versioning, integration, and cloud optimization.
Tell us about your toughest R&D challenge and let’s discuss how bPrescient can solve it.
