Unlock scientific discovery
LEAP™ is an innovation platform for Life Sciences R&D that use data, bioinformatics, and Artificial Intelligence to enable systematic knowledge discovery.
Crashing bottlenecks in Life Sciences R&D
Technological breakthroughs in genomic sequencing and the proliferation of scientific data create bottlenecks in scientific advancement and innovation. This data deluge makes an already costly, time-consuming, and high-risk R&D process more challenging.
LEAP™ empowers scientists and innovation leaders to discover insights and evidence that fast-track scientific innovation.
LEAP ingests and integrates public and 3rd party data (omics, literature, knowledge bases) to build an integrative, rich knowledge graph. AI modeling applied on this graph predicts latent connections and novel insights scientists can tap into to find answers on what drives health and disease.
Scientific Papers and Paper Abstracts
Knowledge Bases and Semantic Networks
Diseases and Conditions
Bioinformatics, Machine Learning, NLP Pipelines
Keep your finger on the pulse of science
Decipher the mechanisms of action for health-states and diseases
Identify, in silico, candidate targets such as bioactive compounds and peptides
Discover more opportunities for rapid experimentation through AI-generated insights
Built for the scientists and innovation leaders of tomorrow
LEAP™, combined with the nuanced understanding and expertise of scientists replaces serendipitous and rare breakthroughs with systematic scientific discovery
SCIENTISTS & RESEARCHERS
Reduce research time from weeks to minutes by tapping into a machine-read, integrative knowledge network to instantly access millions of known and novel connections for over 20,000 diseases/syndromes and conditions.
Test and learn at unprecedented speed. With LEAP you can validate experimental hypotheses computationally, saving time, resources, and effort.
Make evidence-based decisions on which candidate indications to prioritize and what experiments to pursue, considerably de-risking your innovation programs.
INNOVATION & R&D LEADERS
Identify innovation opportunities for market disruption and IP creation.
De-risk decision-making on program and indication prioritization by leveraging our platform’s always-on evidence and exclusive insights.
Reduce time-to-insight for your teams by unlocking a wealth of insights and evidence they can leverage in their experimentation, reducing costs and increasing ROI.
Scientific discovery on demand
Insights you can trust
Insights you discover in LEAP™ are assigned scores based on notions of relevance, association strength and probability – among other metrics – to help you make data-driven decisions every time. At a tap of a button you can learn how many times an association between two entities was mentioned in literature and access the full list of papers mentioning it.
Search is just the beginning
Whether you’re interested in a health-disease panorama or an in-depth look of relationships among diseases and genes, LEAP™ helps you answer complex questions from various perspectives. Choose between an interactive, traversable knowledge graph or tabular views and exports to interpret your insights. With LEAP™ you get a multi-layered understanding of targets stemming from the integration and analysis of 23 million scientific publications and over 60 knowledge bases and semantic networks. Exhaustive filtering and visualization capabilities help you reveal nuanced insights.
Trusted AI research companion
Eliminate bias, reduce risk in hypothesis generation
With LEAP™ you approach research questions holistically by tapping into a machine-read knowledge graph consisting of unique insights and scientifically validated evidence to ensure you reduce bias and errors when formulating new experimental hypotheses. We apply multi-step quality controls for handling opposing evidence and data inconsistencies, and perform rigorous scientific validation testing to ensure you can act on new insights with confidence.
Novel insights at your fingertips
Courtesy of AI
LEAP™ transforms underutilized, unstructured and fragmented data into a single, coherent scientific knowledge universe of more than 320 million known and AI-predicted connections. State-of-the-art algorithms train on this vast and dense graph to predict new connections and biological relationship types among genes, food, bacteria and plants – to name a few – to inform your next experiment.