AutoCut and all of our subprocessors do not use your audio, video, transcripts, captions, or any customer content to train AI/ML models. Your data is used only to deliver the features you request, then it’s deleted from our cloud after processing.

Our commitment

• No training: We never use customer content (audio, video, transcripts, captions, previews) to train or fine-tune AI models.
• No human review by default: We don’t manually review your content unless you explicitly share samples for support.
• Contractually enforced: All vendors/subprocessors we rely on are contractually prohibited from using customer data for model training or unrelated purposes.
• Local-first design: Many Voice/AI operations run on your machine. When cloud processing is needed, files are encrypted, processed, and removed after completion.

What data this covers (scope)

• Customer content: Audio/video you process with AutoCut, plus generated outputs (e.g., transcripts, captions, analysis markers).
• Operational metadata: Minimal technical info (job IDs, duration, error codes) needed to run the service and provide support.
• Account & billing: Account details (e.g., email, license), with payments handled by Stripe.

None of the above is used for model training.

How processing works

• Local vs. cloud: AutoCut is local-first. Certain features may require temporary, encrypted cloud processing.
• Encryption: Data in transit uses TLS; data at rest (when present briefly in cloud) is stored with industry-standard encryption.
• Retention: Temporary processing artifacts are deleted after the job completes. We keep only minimal, necessary metadata for reliability, billing, abuse prevention, and support.

Subprocessors & vendors

• We use reputable providers (e.g., cloud hosting/CDN, error reporting, payments).
• Our Data Processing Addenda (DPAs) and vendor agreements forbid model training on customer data and restrict processing to your instructions.
• Need a vendor list or DPA? Contact us (see below).

Access & controls

• Least-privilege: Employee access is limited and role-based.
• No human labeling: We don’t send your files to third parties for labeling or evaluation.
• Support samples: If you open a support ticket, you can choose to share example files. We’ll use them only to resolve your issue, then remove them.

How we improve without your data

We rely on unit tests, synthetic data, public benchmarks, and opt-in test datasets—not on customer content—to improve model quality and features.

Enterprise notes

• Firewall rules: If your company restricts egress, see “Which domains should be whitelisted for AutoCut?”
• Privacy reviews: We can share our security notes, DPA, and subprocessors under NDA for vendor assessment.

Quick-copy compliance clause

AutoCut and its subprocessors do not use customer content (including audio, video, transcripts, captions, or derived artifacts) to train, fine-tune, or improve AI/ML models. Processing is limited to providing the contracted services, with encrypted transit/storage and deletion of temporary artifacts after completion.

Updated on: 29/09/2025