Solutions / Privacy-Safe Data for AI & Analytics
Privacy-Safe Data for AI
Data Anonymization That Unlocks AI and Analytics
The data your AI and analytics programs need most is the data privacy rules lock away. Privacy-Safe Data for AI & Analytics anonymizes it at scale, with an audit trail, without it ever leaving your boundary.
The anonymization pipeline
Trusted where the stakes are high
How It Works
From locked away to in production
Intake at scale
Recordings, documents, and images arrive by schedule, watch folder, or API, and are classified on the way in.
Anonymize every format
40+ PII and PHI categories removed or replaced across video, audio in 82 languages, images, and documents, in bulk.
Validate and deliver
Business rules check the output, humans review only the exceptions, and clean data routes to your data platforms with a full audit trail.
What You Get
Privacy engineering without the bottleneck
All four formats, one pipeline
Video, audio, images, and documents anonymized in the same workflow, not four separate tools.
Spoken PII in 82 languages
Names, numbers, and identifiers caught in speech with speaker diarization, bilingual calls included.
Humans only on exceptions
Confidence thresholds and business rules route the judgment calls to reviewers and automate the rest.
Proof of what was removed
A full audit trail of every removal, by policy, ready for privacy and compliance review.
Your data never leaves
The pipeline runs inside your environment, so sensitive source data is not exported to become safe.
Scale that matches ambition
Bulk processing tested past a million recordings, with queue-based overnight runs.
Who It's For
Built for the teams whose best data is locked by privacy
Healthcare and life-sciences organizations preparing clinical media and records for research and secondary use, financial services and insurance teams feeding analytics from customer calls and case files, and any enterprise assembling training datasets from real customer content run this pipeline. Data science gets volume; privacy and compliance keep control and the audit trail. It is the difference between an AI program waiting on data and one running on it.
FAQ
Privacy-safe data preparation, asked and answered
What is privacy-safe data preparation?
An automated pipeline that anonymizes sensitive information across recordings, documents, and images at scale, with validation and an audit trail, so the data can be reused for analytics and AI within privacy obligations.
Which formats and languages does it cover?
Video, audio, images, and documents in one workflow, with spoken PII detected in 82 languages including bilingual recordings, and 40+ PII and PHI categories across text and visuals.
How do we know nothing sensitive slipped through?
Confidence thresholds route low-certainty files to human review, business rules validate output, and the audit trail documents every removal by policy for compliance to inspect.
Does our data have to leave our environment?
No. The pipeline deploys in your cloud, on-premises, or air-gapped, so source data stays inside your boundary throughout.
What volumes can it handle?
Bulk anonymization is tested past a million recordings, with queue-based overnight processing, so datasets ship on project timelines, not review-team timelines.
Send us your hardest dataset
A batch of real recordings or documents. We will return anonymized output and the audit trail behind it.