Copoly.ai

Pioneering AI at the Intersection of Health and Enterprise

Who We Are

We are a Canadian biopharma AI company building intelligent technology at the intersection of clinical science, enterprise productivity, and computational biology.

Our Mission

Making Life-Saving Technology Accessible Through AI

Copoly’s mission is to make life-saving and productivity-transforming AI accessible to the people and organisations that need it most. We build technology that detects cancer earlier, makes enterprises smarter, and accelerates scientific discovery — because we believe AI should serve real human needs, not just demonstrate technical possibility.

Our Vision

A World Where AI Serves Human Health and Progress

We envision a world where no cancer goes undetected for lack of accessible screening, where government agencies and enterprises operate with the full intelligence of modern AI, and where bioinformatics research moves at the speed of data. Copoly is building the tools to make that world real — one product, one partnership, one discovery at a time.

Meet our team of experts

Meet Our Team
  • Peng Zhang, Ph.D.

    CEO

    With a Ph.D. in Experimental Medicine and more than 16 years in data analytics and development, Dr. Peng Zhang stands at the forefront of healthcare innovation. His enthusiasm for melding data-driven strategies with transformative healthcare technologies guides Copoly.ai’s mission. His diverse expertise fosters an environment where strategic foresight and innovative spirit enrich the biopharma industry.

  • Piru Perampalam, Ph.D.

    CSO

    Dr. Piru Perampalam, who has a Ph.D. in Biochemistry, brings over a decade of expertise in bioinformatics and computational biology to the table. His pivotal role in formulating Copoly.ai’s scientific direction embodies a state-of-the-art approach. With extensive experience in optimizing pre-clinical models and applying sophisticated analytical methods, he is dedicated to advancing precision medicine and AI-powered drug discovery platforms.

  • Giselle Bagatini

    CAIO

    Giselle Bagatini, with her Master’s in Data Science and over eight years of experience in the field, leads the AI initiatives at Copoly.ai. Her substantial expertise in data science and machine learning drives innovation across diverse industries. Her skill in natural language processing and generative AI is crucial to our projects’ success, steering strategic decisions and the implementation of comprehensive data science solutions.

Trusted by Researchers, Clinicians and Government

Recognition & Impact

40+

Happy Clients

120+

Combined Years of Expertise

12+

Active Engagements

85+

Successful Deliverables

Government of Canada (Ongoing)

Copoly's research and development is recognised and supported by the Government of Canada — a validation of our commitment to advancing biopharma AI in the national interest and a foundation for continued growth and impact.

BioNext MedTech Innovation Challenge (2025)

Copoly was awarded 2nd Place at the BioNext MedTech Innovation Challenge — one of Canada's most prestigious health technology competitions recognising OncoSage's breakthrough approach to blood-based multi-cancer early detection.

Collision Conference (2024)

Copoly was selected to present at Collision 2024 in Toronto — North America's largest tech conference as part of both the Startup Showcase and the highly competitive ALPHA Program, putting Copoly among the continent's most promising early-stage technology companies.

Canadian Biopharma AI Pioneer (Founded 2023)

Proudly Canadian and headquartered in Ottawa, Copoly is at the forefront of Canada's emerging biopharma AI sector — bringing together world-class scientific talent and cutting-edge technology from the heart of the nation's capital.

Clinical Grade Accuracy

Enterprise Ready

From a blood-based cancer detection platform to sovereign enterprise AI, everything we build is grounded in deep scientific expertise and designed to work in environments where accuracy and trust are non-negotiable.

Our AI models are built to meet the rigorous standards of clinical environments validated, explainable, and designed for real-world diagnostic use.