Where redaction matters
Wherever sensitive documents need protection before sharing or analysis.
AI analysis without the risk
Use Claude, ChatGPT, and other tools with confidential documents.
The problem
AI tools are powerful for summarizing contracts and analyzing reports, but company policy often forbids uploading client data to external services.
"27% of organizations have banned the use of generative AI over privacy and data security risks."— Cisco 2024 Data Privacy Benchmark Study
How RedMatiq helps
Import your document into RedMatiq and sensitive data is replaced with placeholders like <ORGANISATION_1> and <PERSON_1>. Use the built-in AI chat to analyze the redacted content directly, or connect to Claude and other tools via our MCP server. The AI understands document structure because placeholders preserve context and relationships. When you get results back, the original terms are restored automatically. Data leakage risk is eliminated at the source, before anything leaves your device. You get the power of AI without the compliance headache.
Consulting and client work
Protect client confidentiality when sharing documents with subcontractors, partners, or AI tools.
The problem
Consultants handle NDAs, proposals, and client reports daily. Sharing with subcontractors, using AI for analysis, or preparing deliverables often means exposing confidential client details to external parties or services.
How RedMatiq helps
Drop client documents into RedMatiq and sensitive information is detected and replaced with consistent placeholders. Share the redacted version with subcontractors or use AI to draft summaries and analyses. The original document stays on your machine. When you need to reference real names or details, switch between the original and redacted views instantly. Client confidentiality is maintained through every step of your workflow, not just the final deliverable.
HR and unbiased hiring
Remove unconscious bias triggers from resumes and employee records.
The problem
Names, photos, addresses, and graduation years on resumes can unconsciously influence hiring decisions before qualifications are even considered.
"White names received 50 percent more callbacks for interviews."— NBER, Bertrand & Mullainathan
How RedMatiq helps
HR teams run CVs through RedMatiq to create truly blind resumes. Names become <PERSON_1>, addresses disappear, and graduation years are removed. The original documents stay intact while clean versions go to hiring managers. Reviewers evaluate candidates purely on skills, experience, and qualifications. Shortlists become more diverse organically. Every hiring decision is defensible because the process was blind from the start.
Healthcare and patient records
Share medical records for research or second opinions while maintaining patient confidentiality.
The problem
Medical records contain highly sensitive patient information. Sharing for research, consultations, or training requires careful de-identification to meet data protection requirements.
"Unintended disclosures accounted for 41% of incidents."— Beazley 2017 Healthcare Data Breach Report
How RedMatiq helps
RedMatiq detects patient names, dates of birth, national ID numbers, medical record numbers, and other PHI. Clinicians verify detection coverage in the review interface before exporting cleaned records. Placeholders preserve document structure so clinical context remains intact. Records can safely be shared for case consultations, research submissions, or training datasets. Patient privacy is maintained without sacrificing the analytical value of the data.
Research and test data
Create realistic datasets without real personal data.
The problem
Developers and researchers need realistic data to test software or train models, but using real customer data violates GDPR and internal policies.
"86% of businesses use live customer data for application testing."— Database Trends and Applications
How RedMatiq helps
RedMatiq pseudonymizes entire folders while maintaining referential integrity across documents. "John Doe" becomes <PERSON_1> consistently in every file where that name appears. Relationships between entities are preserved, so test scenarios remain realistic. Development teams get production-quality test data without compliance risk. Research partners receive properly anonymized datasets that preserve analytical value. Your data science stays rigorous while your legal team stays relaxed.
Legal document preparation
Redact contracts, briefs, and case files before sharing outside your practice.
The problem
Sharing legal documents with collaborators, clients, or external parties requires removing privileged information and unrelated personal details first.
"Review typically consumed about 73 percent of all production costs."— RAND Corporation
How RedMatiq helps
RedMatiq scans your documents for names, dates, account numbers, and locations. The interactive review interface lets you verify each detection and adjust coverage before export. Sensitive terms are replaced with neutral placeholders that preserve document structure. The sanitized export strips hidden metadata, revision history, and embedded comments. Hours of manual review become minutes of focused verification. Nothing you didn't intend to share leaves your desk.
See it in action
Try RedMatiq with your own documents. Free during public beta.