We help our users quickly find evidence-backed answers to complex regulatory questions by leveraging past data.
Based in Toronto, Canada, Cedience is a team of software engineers, data scientists, and regulatory affairs professionals who share a passion for solving the real challenges in drug development. Our team uses Natural Language Processing (NLP) and Machine Learning (ML) to overcome common issues within the industry.
To support the development of new drugs and biologics, the regulatory authorities publish and maintain a large body of knowledge. This information typically includes webpages, guidance documents, notices, regulations, and product labels. In addition, it often covers product-specific assessments and reviews, correspondence documents, milestone meeting minutes, advisory committee deliberations, information requests, letters, and more.
This level of support and transparency from the regulators is welcomed by the industry but it comes with significant challenges.
Cedience addresses these challenges, bridging knowledge gaps and equipping drug development teams with the information they need to support their decisions.
By automatically centralizing and integrating the regulators’ databases, our SaaS platform enables you to answer complex questions on precedents in minutes instead of days, and generate unique datasets that can augment your regulatory intelligence activities.
We believe in a future where regulators work closely with the innovators to address unmet medical needs without delay.
We believe technology needs to be impactful first and this is the right time to deploy artificial intelligence and improve the drug development process.
Most importantly, we believe the people relying on our technology are the real experts and we are committed to making their voices heard across our organization
Head of Quality & Regulatory Sciences
Founder & CEO
Founder & CTO
Full Stack Developer
Machine Learning Engineer