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EviDataTM, enterprise software powered by Woodway Assurance, is the only solution that provides an automated, independent third-party assessment to verify that de-identified, anonymized, and synthetic data meet recognized privacy standards while preserving data utility.
Built for organizations worldwide that share, acquire or sell data, EviData produces a report with clear evidence of re-identification risk, giving organizations the confidence to use and share data responsibly.
The Value of EviData
Accountability through independent assurance
Companies that de-identify and synthesize data are inclined to say their work was done well. EviData is the independent, neutral check. It confirms whether the work meets data privacy standards. A report offers defensible, trustworthy evidence of due diligence that you can rely on for oversight, partners or regulators, including in the event of a data breach.
Fast, automated and reliable
Re-identification risk assessments have traditionally required significant expertise, training and time, and manual approaches introduced opportunities for human error. EviData requires minimal expertise and automates the process, turning a highly complex task into something much simpler for the user. What once took weeks of work by costly external consultants can now be done with precision in minutes, allowing projects to accelerate without losing the necessary rigour when dealing with sensitive data.
Confidence to use and share data
Compliance and legal teams often do not have the technical expertise to verify de-identification and synthetic data claims, which can lead to decision paralysis. Demonstrating that your datasets meet privacy compliance standards means you can confidently move forward with innovation, analysis and collaboration without compromising data protection or quality.
How EviData Works
Built in Canada, Woodway Assurance’s EviData solution reflects the country’s leadership in AI and privacy. Our approach is grounded in decades of research and of applying and assessing data anonymization, synthetic data generation, data protection methods in practice.
Available by subscription, EviData runs entirely within the client’s environment. Clients upload their de-identified, anonymized or synthetic dataset, and EviData uses AI-driven automation to assess both privacy risks and data utility.
It takes just 4 simple steps:
UPLOAD YOUR
DATASET(S)
SELECT DATA TYPE
AND SOURCE
SET BASIC
PARAMETERS
GENERATE
THE REPORT
The result is a clear, standards-aligned and auditable report on whether the dataset is safe to share, meets key thresholds and can be treated as non-personal information.
EviData is engineered for enterprise use: scalable to large datasets, consistent across projects and secure by design. Every assessment applies the same level of discipline and consistency you would expect from academic research, adapted for today’s real-world enterprise needs.
Meet Our Team
Dr. Khaled El Emam
CEO & Founder
Khaled is Canada’s Research Chair in Medical AI at the University of Ottawa and leads the university’s new medical AI institute. He is a Professor in the School of Epidemiology and Public Health and Director of the Electronic Health Information Laboratory at the CHEO Research Institute. An internationally recognized expert in anonymization, re-identification risk assessment and privacy-preserving data sharing who has founded or co-founded several spin-off companies, he has decades of experience conducting and applying rigorous research to practical solutions used globally.
Sheldon Stevens
Chief Financial Officer
Over the past 25 years, Sheldon has been the CFO for over 40 companies including DNA Genotek, Privacy Analytics, Replica Analytics, bluArc Communications, Embotics Corporation, Decisive Technologies Inc. and Britesky Technologies Inc. He has repeatedly worked with founders to help grow their ideas into companies and on to successful exits for all shareholders.
Mary Jane Dykeman
Chief Operating Officer
Mary Jane is a data strategist with a health and data law background. She helps clients harness and execute opportunities for their data. She works on de-identification, shared data platforms, AI, privacy, and health research. Mary Jane is interested in crowdsourcing best practices for data and AI in regulated industries, including in health, financial, and insurance.
Anne-Marie Hayden
Communications
Anne-Marie works with regulatory bodies, government agencies and technology companies on effective communications and privacy compliance. Her work bridges a strategic approach to messaging and initiatives with a deep knowledge of privacy issues, helping organizations communicate accurately, meaningfully and impactfully in complex, sensitive and evolving contexts.
Get In Touch
Today’s world runs on data. Are you confident your datasets can stand up to scrutiny?
EviData ensures your de-identified, anonymized or synthetic datasets meet privacy standards and preserve utility. Our solution delivers defensible third-party evidence of re-identification risk, and enables you to act with confidence in data use, sharing and innovation.
Reach out to learn how EviData delivers independent data assurance you can rely on.
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