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Laser AI is a solution developed by Evidence Prime, a collaboration between McMaster University and a group of committed, experienced Polish IT professionals.
We joined forces with the aim of becoming the market leader in creating innovative IT tools for evidence-based health care.
Our multifaceted team comprises 30 specialists with complementary disciplines including systematic review methodology, machine learning, and software engineering.
Evidence Prime was founded as a spin-off of McMaster University.
Evidence Prime won the main award at the NIST TAC-SRIE competition in Washington, D.C. with its Natural Language Processing model, which became the foundation of Laser AI.
Evidence Prime received a European Union grant in the amount of 2 mln EUR for development of Laser AI.
Latest version of Laser AI is released.
co-founder and President
Engineer, 30+ years of experience,
multiple AI patents
Founder and President of Evidence Prime.
Atomic physicist by education, software engineer and inventor by passion, entrepreneur by choice.
Author of multiple patents.
Active developer.
In Laser AI responsible for: corporate governance, finances, security and compliance, and R&D projects.
co-founder and Chief Technology Officer
10+ years of creating tools for Evidence Based Medicine
Founder and CTO of Evidence Prime.
His main responsibility is making sure that we build the right tool that our clients need.
With expertise in Natural Language Processing and Information Retrieval, Artur also oversees the company's software development team and manages research projects in collaboration with partners from all around the world.
His passion is advancing evidence-based decision-making in healthcare.
MD PhD, co-founder and Chief Scientific Officer
Associate Professor, Health Research Methods Evidence, and Impact
Jan is a systematic review and guideline methodologist, and a physician by training.
He leads the evidence synthesis group in Evidence Prime supporting the Laser AI project.
Evidence Prime has an in-house Research & Development department dedicated to solving hard Systematic Reviews problems through new technologies including Artificial Intelligence.
Our staff actively pursues scientific and innovative activities.
We jointly have:
58 000
CITATIONS
300
PUBLICATIONS
10
YEARS OF RESEARCH
100 000
GRADE PRO USERS
9
PATENTS
28
TEAM MEMBERS