Legal and financial advisors
When privileged or client-sensitive context appears in a transcript, the value is not convenience. It is a safer AI workflow before review, drafting, or analysis.
Don't paste raw client transcripts into AI
Nonymize replaces identifying details before transcripts go into ChatGPT, Claude, Gemini, Copilot, or similar AI tools for summaries, synthesis, drafting, or follow-up.
Built for legal and financial advisors, consultants, researchers, and coaches who want AI leverage without exposing the people and organizations inside the conversation.
Before AI prompt
Sensitive details are not the insight
Raw transcript
Priya told Michael that Pinnacle Advisory may move the Watkins portfolio after the Friday call.
Compliance mode
[Person A] told [Person B] that [Organization A] may move the [Client A] portfolio after [Date A].
Narrative mode
Maya Chen told Elias Brooks that Harbor Advisory may move the Reed portfolio after the Friday call.
Find details
Names, companies, dates, locations, and context.
Review changes
Confirm what stays replaced.
Use safer text
Bring the anonymized version into AI.
Why this matters
Sensitive transcripts carry risk before they carry insight
Client conversations, interviews, case context, and coaching notes often contain names, companies, timelines, and private details the analysis does not need. Nonymize gives those workflows a privacy step before the transcript reaches an AI assistant.
Who it is for
Built for high-trust transcript workflows
Consultants and researchers
Customer interviews and discovery calls are already becoming AI inputs. Nonymize creates a clean step between raw participant data and synthesis.
Coaches
Confidential client conversations deserve more care than a raw paste into an AI tool. Nonymize keeps the usefulness of AI while respecting the trust in the conversation.
Two anonymization styles
Choose the output that fits the job
Use literal labels when traceability matters. Use readable aliases when the transcript still needs to flow for prompting, summaries, and human review.
Compliance mode
Legal, reviewLiteral replacements for review-heavy work
Best when obvious labels like [Person A] and [Organization A] make the output easier to verify.
[Person A] told [Person B] that [Organization A] may move the [Client A] portfolio.
Narrative mode
Research, coachingReadable aliases for analysis-heavy work
Best when you want an anonymized transcript that still reads naturally inside prompts and summaries.
Maya Chen told Elias Brooks that Harbor Advisory may move the Reed portfolio.
Privacy by design, without magic claims
A privacy step you can understand
Nonymize is designed to reduce what sensitive information reaches downstream analysis tools. Transcript content is sent to configured managed extraction backends solely to provide anonymization. Customer transcripts are not used to train, fine-tune, evaluate, or improve models.
Join the private beta waitlist
Tell us how transcripts show up in your work, and we will follow up as access opens.