Configure exactly what each audience sees. One source document, multiple tailored outputs, with zero over-exposure.
Configure exactly what each audience sees. Mask client identities for one team, redact financial details for another, and share full synthetic versions with external partners. One source document, multiple tailored outputs.
Not every team needs access to every piece of information in a document. The legal team reviewing a contract does not need to see the financial terms. The marketing team building a case study does not need the client's real name. The external auditor needs the structure but not the specifics.
Today, most organizations handle internal data sharing with blunt tools: either you have access to a document or you do not. There is no practical way to give Team A a version of a report where client identities are hidden but financial figures remain visible, while simultaneously giving Team B a version where financial figures are hidden but client names remain.
This leads to two failure modes: teams get access to more data than they need (over-exposure) or they cannot access data they legitimately need for their work (under-utilization).
Hexagone AI lets you define custom processing rules per audience, use case, or data category. You control exactly which types of sensitive information are anonymized and how:
Real data replaced with realistic fake equivalents. Preserves full document utility.
Real data replaced with typed tokens. Ideal for AI interaction workflows.
Sensitive content fully removed or obscured. Maximum privacy, no residual data.
The same source document can produce different anonymized versions for different audiences. You define rules once, then apply them at scale:
| Audience | PII (Names, Contacts) | Organizations | Financial Data | IP / Projects |
|---|---|---|---|---|
| Operations team | Visible | Visible | Masked | Visible |
| Marketing team | Synthetic | Synthetic | Redacted | Visible |
| External auditor | Masked | Masked | Visible | Masked |
| External partner / vendor | Synthetic | Synthetic | Synthetic | Synthetic |
| AI training pipeline | Synthetic | Synthetic | Synthetic | Synthetic |
The legal team needs clause structure and compliance language, but not the identity of the counterparty or the deal value. Mask names and financials, keep everything else.
An external vendor labels or categorizes your documents. They need the content structure but zero real identifiers. Synthetic replacement gives them realistic data to work with.
Sharing data with a team in a different jurisdiction? Anonymize the elements that trigger regulatory restrictions while preserving what the receiving team needs for their work.
Show real product capabilities using data that looks and feels authentic, without ever exposing actual client information. Ideal for sales demos, investor presentations, and training materials.
Share transaction data or portfolio reports with external analysts, risk committees, or regulators. Mask client identities and account numbers while keeping the financial figures and structures needed for analysis.
Hexagone AI does not just detect isolated PII fields. It understands contextual identifiers, combinations of attributes that could identify someone even without their name. "The CTO who joined in March from the Cambridge office" is identifying. Our models detect and handle these compound identifiers across the entire document, not just individual fields.
We can help you unlock your sensitive data safely. Book a call and we will walk you through exactly how this would work for your organization.
Transform your sensitive documents into safe, high-utility training assets for AI and ML, with zero real PII remaining.
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