Our History
From day one, OmniScience has collaborated with leading life sciences organizations, applying AI and machine learning to analyze hundreds of trial datasets in diagnostics, biomarker analytics, trial operations, and decision support. Over the last five years, we’ve shifted from bespoke consulting to delivering scalable, SaaS-based solutions. Our flagship platform, Vivo, embodies that evolution.
Translating complex clinical trial data into knowledge
Our team has applied every AI/ML technique to every kind of clinical trial data - to create knowledge to support the development of many solutions.
A decade ahead in language models
Before large language models (LLMs) entered the mainstream, we were already applying NLP to the hardest problems in biomedical data, extracting insights from fragmented datasets, synthesizing unstructured scientific content, and delivering language-driven biomarker analytics and decision support tools.
Much of our team’s work with NLP started in their PhD training via collaborations with IBM Watson, Baylor College of Medicine, and MD Anderson Cancer Center to mine scientific literature to support treatment decisions.
This early NLP work laid our foundation for the genAI era.
From analytics to actionable insights
As LLMs have matured, we have adapted and extended them with domain knowledge via curated biomedical vocabularies and ontologies. We have also established important guardrails to ensure reliability while protecting clinical trial integrity. Today, these capabilities are central to Vivo, enabling real-time insights across clinical operations and strategic planning.
For more details about how we’re applying LLMs and genAI in our products, see our genAI whitepaper →
