Company
An external check on AI, by design
Parsifer exists to give organizations a way to see, and document, where their data and IP meet AI — so they can protect what makes them distinct.
Founder
Sharon L. Bolding, PhD
Sharon is a business-operations, product-strategy, and technical specialist focused on AI and cybersecurity, with a research background in natural-language processing and machine learning. At Citi, she led the team that implemented an AI platform for compliance surveillance, including a risk model in 42 languages.
She has advised companies on growth strategy across fintech, healthcare, cybersecurity, and AI, has co-founded multiple companies, and has taught at the University of Washington and Seattle Pacific University. She holds a PhD in Linguistics from the University of British Columbia.
Common questions
Is Parsifer an AI tool?
No. Parsifer is an external check on AI systems — not an AI wrapper. It fingerprints your content and checks AI outputs for meaningful similarity.
Does a match prove my data was used to train a model?
A match indicates semantic similarity worth investigating. It does not, by itself, establish how or when a model acquired the material.
What content types are supported?
Text is supported today. Images, video, and voice are in development.
Is the technology protected?
Parsifer’s semantic-fingerprinting approach is patent pending.