GENAIZ federated learning platform for the life sciences industry enable hospitals, academics and biopharma companies to share, monetize and access data as well as run AI solutions in order to improve patient outcomes and propel innovation. Machine Learning Algorithms Available RefAI is a suite of unsupervised artificial intelligence algorithms that validates the completeness of all transferred documentation, ensuring no documents go missing, by processing more than 13,000…
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Connecting the dots in the life sciences industry to empower you with insights
Full company description
GENAIZ federated learning platform for the life sciences industry enable hospitals, academics and biopharma companies to share, monetize and access data as well as run AI solutions in order to improve patient outcomes and propel innovation.
Machine Learning Algorithms Available
RefAI is a suite of unsupervised artificial intelligence algorithms that validates the completeness of all transferred documentation, ensuring no documents go missing, by processing more than 13,000 words per minute in thousands of files.
QualitAIx is a suite of unsupervised artificial intelligence algorithms that compares baselines to current organizational or manufacturing states, and reports exceptions, by processing more than 13,000 words per minute. Your team can now just validate the identified exceptions, basically less than 5% of the dataset.
ClAInix is a suite of unsupervised artificial intelligence algorithms that allows you to explore, analyze and visualize your data in ways that were impossible before or very time-consuming — enabling you to detect patterns and gain insights that would otherwise remain hidden.
+1000x faster than the conventional approach
+2.3x more accurate than manual labor
Results in 3 clicks
LinkedIn followers
902
People associated on LinkedIn
16
Reported office locations
5605 Avenue de Gaspé, suite 805, Montreal, Quebec H2T 2Z9, CA
Business categories
Software
Information Services
Artificial Intelligence (AI)
Machine Learning
Other recorded names
GenAIz
Profile identifies a recruitment agency
No
Reported total investment
0
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Industry
Software Development
Size
11-50 employees
Headquarters
Montreal, Quebec
Organization type
Privately Held
Year founded
2016
GenAIz has 11 open jobs in Canada as of November 6, 2026. Top locations: Montréal.
5+ YOECandidates need 5+ years of B2B product management, at least 3 years serving pharma, biotech, medical device or CDMO customers, and working knowledge of GxP quality and manufacturing processes. A bachelor's degree in life sciences, engineering or computer science and fluent English are required; French is a strong asset.
Veeva Vault QMS, MasterControl, TrackWise, SAP QM, EDC, QMS
3+ YOECandidates need a master's or equivalent, 3+ years of industry experience on image-based projects, and hands-on machine learning and deep neural network experience for vision problems. Python and deep learning frameworks such as TensorFlow, Keras or PyTorch are required.
3+ YOECandidates need 3+ years of Python development and hands-on experience building ML models with TensorFlow or PyTorch. They also need a solid grasp of LLMs, machine learning concepts, Git, and independent problem-solving.
5+ YOEMaîtrise ou doctorat; Plus de 5 ans d'expérience en recherche multidisciplinaire dans l'industrie; Expérience en apprentissage automatique et en réseaux neuronaux profonds appliqués aux images
3+ YOECandidates need 3+ years designing complex web applications with modern design tools such as Figma. They also need knowledge of human-centered design, design systems, front-end basics (HTML5, CSS3, JavaScript) and strong communication skills.
3+ YOECandidates need 3+ years building front-end applications with React (Hooks, Context API), strong JavaScript, HTML5 and CSS3 skills, experience with routing and state management, and good problem-solving and communication skills.
5+ YOECandidates need 5+ years in IT cybersecurity with a cloud focus, knowledge of cloud concepts, containers, networking and Linux, and strong problem-solving and communication skills.
3+ YOECandidates need 3+ years of laboratory experience, ideally with CROs, CDMOs or life science labs, and a solid grasp of sample handling, equipment and data management. Strong communication and project management skills are essential.
2+ YOEMinimum de 2 ans d'expérience en sciences de la vie ou pharmaceutique; Baccalauréat en informatique, génie ou sciences de la vie; Maîtrise du français et de l'anglais écrit et parlé
Computer science, Systems development life-cycle, French, English, Communication skills, Interpersonal skills
7+ YOEPlus de 7 ans d'expérience en développement logiciel; Maîtrise de Java, Python et des API REST / JSON; Expérience avec PostgreSQL, la mise en cache et le streaming
Java, Python, PostgreSQL, Docker, Kubernetes, Google Cloud Platform
10+ YOE10+ années d'expérience en développement d'applications web; Solides connaissances en JavaScript, DOM et CSS; Solides connaissances de l'écosystème React et de ses tests