Accelerating drug discovery and development with AI-enabled research and opportunity identification for approved therapies.
Solutions
From accelerating drug discovery to leveraging real world evidence, Centaur Labs provides life sciences innovators with high-quality medical data annotations at unprecedented speed and scale.
Accelerating drug discovery and development with AI-enabled research and opportunity identification for approved therapies.
AI is increasingly used in drug discovery to understand disease mechanisms, and predict response rates.
Image analysis
Multi-omics and clinical notes
Intellectual property knowledge graph
From patient recruitment, to insights on current and past clinical trials, AI offers an opportunity to optimize trial design and success.
Predicting patient qualification
Real world data analysis
Reanalysis of failed clinical trials
Patient subgroup identification
Big data and AI are being leveraged to better understand competitors, as well as HCP behaviors.
Improve HCP targeting
Competitive analysis
Patient identification
Predicting adherence
“We were able to improve our model dramatically - from .6 to .83 F1 score - in part, because of Centaur Labs.”
Sr. AI Scientist
"We’re excited by the high throughput and quality of annotations we get with Centaur Labs - I would definitely recommend working with them.”
Head of Immunology and Data Science
Access millions of annotations weekly from a network of thousands of medical experts, taking models from exploratory analysis to deployment in weeks, not months.
Experience how label quality is built into the Centaur Labs system, with frequent performance measurement and pay-for-performance incentives.
Leverage more reliable statistical information to inform your algorithm training plan.
Worry less with leading privacy and security capabilities.
Lean on Centaur Labs’ expertise as the only annotation company focused on health, biological and scientific data.
From pathology slides to surgical video to unstructured clinical notes, get all of your annotation needs in one single platform.