Protecting sensitive data, by default.
We build automated, AI-powered redaction that helps enterprise teams meet privacy compliance and safeguard PII, PHI, and financial data at scale.
The challenge
Enterprises handle massive volumes of sensitive data across documents, images, and audio. Manual redaction is slow, error-prone, and doesn't scale, while GDPR, HIPAA, and CCPA demand ever more rigorous protection.
Our solution
An AI-powered multimodal redaction platform that detects and removes sensitive data accurately, integrating into existing workflows with the transparency, auditability, and control enterprises require.
Our values
Principles that guide every decision we make, from product to customer relationships.
Security first
Every decision prioritizes the security and privacy of customer data above all else.
Enterprise focus
Built for the scale, reliability, and compliance requirements of enterprise organizations.
Continuous innovation
Constantly advancing our AI to stay ahead of emerging threats and use cases.
Customer success
Our success is measured by the tangible business value we deliver to customers.
From the blog
View allNvisy is in private beta
Nvisy is open to a small group of teams while we finish the parts that only real documents expose. Here is what works today, what does not, and how to ask for access.
Benchmarking Redaction on Synthetic Documents
Measuring redaction accuracy means having documents where every sensitive value is known in advance. We generate them: 4,000 synthetic records spanning documents, spreadsheets, images, and audio, each with a ground-truth answer key.
Introducing Elide
Elide is the open-source toolkit that finds and removes sensitive data inside Nvisy. Rust, Apache-2.0, and a demo that runs entirely in your browser.
Join our team
We are a small team. If redaction is the problem you want to work on, tell us.