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 with enterprise-grade accuracy, 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.
Meet the team
Driven by expertise in AI, enterprise software, and regulatory compliance.
Alex Rivera
CEO & Co-Founder
Jordan Martinez
CTO & Co-Founder
Sam Chen
VP of Engineering
From the blog
View allHealthcare Success Story: Major Hospital System Streamlines Patient Data Protection
Learn how a leading healthcare organization automated PHI redaction across 50,000+ patient records, reducing processing time by 85% while maintaining HIPAA compliance.
Financial Services Case Study: Regional Bank Automates Customer Data Protection
See how a regional bank processing 10,000+ loan applications monthly achieved 95% time savings on PII redaction while ensuring regulatory compliance across all documents.
Navigating Privacy Compliance in Modern Organizations: GDPR, HIPAA, and Beyond
A comprehensive guide to understanding and implementing privacy compliance requirements across different industries and regulatory frameworks in today's data-driven world.