Evaluating Decision-Grade AI Evidence in Life Sciences
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The Credibility Gap: Why current evaluation frameworks are failing and how to fix them.
Practical Validation: Real-world approaches to bias detection and metric alignment.
Defining Decision-Grade: Identifying shared principles for assessing AI-generated evidence in evidence synthesis and systematic reviews.
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We are a global team, driven by a shared mission: leveraging the power of AI to improve the ability of others to excel at their work.
Our team of world-leading AI researchers, software engineers and life sciences experts is pushing the state of the art in ML & AI in pursuit of this goal every day.

Reliant AI is an applied AI tool for the life sciences industry. We're built to serve teams across startups and enterprises, including commercial, medical, and both large and boutique consulting teams, as well as medical writers.
Reliant AI integrates with key data sources like PubMed, Clinicaltrials.gov, and major conferences. Users can also upload any papers they desire to include in a study. If you have a specific data source in mind that you don't see listed, please contact our sales team to discuss your needs.
No. Reliant AI does not have any limits on document uploads or extractions for systematic literature reviews or other research tasks.
We offer flexible and scalable pricing packages tailored to your team's specific needs. To learn more about our pricing, please contact our sales team.
We take user and data protection extremely seriously. Reliant AI has created proprietary AI pipelines, and your data is never used to train any of our models.
We are an Applied AI company, focusing on the life sciences domain. Our technology is built by experts from Google DeepMind, Google Brain, and leading academics trained at universities like the University of Oxford and McGill.
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