Perfectly Clear is heading to Las Vegas for SPAC 2026. The team will be in Las Vegas from January 20-24, 2026, and on...
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Perfectly Clear Statement on AI Training and Image Use
At Perfectly Clear, we understand the growing concerns around artificial intelligence in the imaging industry. Questions about how AI models are trained, how images are processed, and how customer data is protected are valid and deserve clear, honest answers.
Recent discussions across the industry have highlighted a broader lack of trust in some AI-powered imaging tools, particularly when transparency around data usage is unclear. We believe trust is earned through openness, accountability, and long-term commitment to ethical technology practices.
For 25 years, we have deliberately designed Perfectly Clear with these principles in mind. Image security, authenticity, and responsible AI development are foundational to how we build our technology.
About Perfectly Clear
EyeQ is an employee-owned Canadian, bootstrapped technology company, leading in image video correction, automation, which is a blend of both classical and AI tech for 25 years. Perfectly Clear was built to enhance images authentically, preserving how moments were captured and remembered, not to replace creative intent. We’re continuously innovating in this space and we’re proud to stick to our own principles to create an innovative and cutting-edge technology for a competitive edge.
Our work is grounded in Real Color Photography®, ensuring that corrections remain natural, accurate, and true to how your eye captured your memory..
How Perfectly Clear Trains Its AI Models
Perfectly Clear AI is trained using our own curated, proprietary datasets. These large datasets are created and maintained by our multidisciplinary team of photographers, engineers, mathematicians, and color scientists.
Customer images are not used to train our AI models unless a customer explicitly chooses to participate. Opt-out is always available and clearly communicated.
Our AI is designed to analyze image characteristics such as lighting, color balance, and scene context, then apply deterministic corrections based on trained models. It does not generate or replace photographic content.
To be explicit:
- We do not use customer images to train our AI model, except where specifically allowed or requested.
- We do not obscure or hide opt-out options.
- We do not replace the need of photographers or imaging teams.
- Our on-premise solutions run on customers equipment and never sends data or images back to Perfectly Clear
Customer Control and Implementation Options
It’s in our DNA to give users customers full control over how AI is used in their workflows. Perfectly Clear can be implemented in multiple ways, including on-premise, in which we never receive any data or images, or cloud-based.
Our users are in control – they decide where images are processed, how automation is applied, and how AI fits into their production environment.
Our Ongoing Commitment
AI is not going away, and neither are the responsibilities that come with it. Our commitment is to build AI-powered technologies that improves efficiency, supports creative professionals, and strengthens trust across the imaging industry.
We welcome questions, conversations, and scrutiny. Transparency is not a marketing position for us. It is how we operate, and a core reason why we’re the global leader in image enhancement trusted by large brands around the world.
If you have questions about AI, image security, or how Perfectly Clear works, we encourage you to reach out and have an open discussion with our team.
