Customer trust starts with protecting privacy
Building privacy into all your data workflows is hard. But it shouldn’t be. That’s why Private AI makes privacy preservation and regulatory compliance fast, easy, and reliable.
De-identify your data sets wherever they are with only 3 lines of code.
Our contextual AI can quickly strip over 30 categories (and growing) of personally identifiable information from text.
Easily remove faces, license plates, and sensitive text from stored images like IDs and crowd photos.
Blur out faces, license plates, street names, and more from your video data.
Our de-identification suite
We’ve created a range of cutting edge AI models that quickly and cost-effectively redact large datasets (text, image, video, audio) to provide privacy without the use of 3rd party cloud providers or new infrastructure. All it takes is 3 lines of code integrated into your existing workflows (on-premise, mobile, web, you name it). And with that comes a ton of benefits.
Unlock access to data sets with PII
Streamline software deployment
Limit impact of data leaks
Reduce GDPR compliance overhead
How our tech stacks up
Our AI model has outperformed every other redaction service on the market. Don’t believe us? We’re happy to go toe-to-toe in a performance test any day.
We’re lightning fast on-prem, running over 17x faster than a reference NLP system on a single CPU core.
Our contextual NLP model delivers industry leading performance across more than 30 different types of PII, and we can easily add custom ones too.
Private AI installs with just 3 lines of code into your on-prem, web, or mobile workflows, and tips the scales at just over 40MB.
Designed for developers
We’re easy to deploy in any workflow — on-prem, web, or mobile — with just a few lines of code, so you can quickly add privacy protection to your data pipeline and then get back to shooting the breeze with rubber ducks.
Implementing Privacy by Design has typically been expensive and cumbersome. And even if personal data is encrypted, it becomes vulnerable any time it’s accessed, viewed, or processed by your team members. Using AI-powered de-identification solves both problems — freeing up datasets to be analyzed and mined for insights with a process that’s quick to implement and incredibly effective at protecting privacy. Here’s how it works for some of our partners:
We understand that using our technology to promise privacy to your clients means that you’re putting your reputation into our hands, and we take that responsibility incredibly seriously. But don’t take our word for it – here’s what our partners have to say about us and our technology:
— Damian Tran, CTO MinervaAI