Krisp
Krisp adds deepfake detection and expands Voice Translation as its Call Center AI platform deepens enterprise compliance tools.
◆Recent moves
- 4d ago
Deepfake risk visibility and Voice Translation admin controls added
Deepfake risk visibility joins the admin console for the first time, giving supervisors a new signal on call authenticity. Voice Translation admin controls also gained per-language tracking. This fits a pattern of turning Krisp's audio-layer capabilities into enterprise compliance instruments.
- 11d ago
Notification Center and lower-cost evaluation tier
A Notification Center lands in the web app, and the Call Center AI evaluation tier gets a price reduction—both reducing friction before a deal closes. The SCIM fix matters for enterprise customers using identity providers. The cheaper evaluation is worth tracking if it shifts the average deal size.
- 14d ago
Krisp 2.81.5 Call Center AI Updates
Conditional Call Recording lets admins set rules for when calls are recorded rather than recording everything—a compliance and storage win for enterprise buyers. Accent Conversion gains a dedicated Indian-English model, extending the localization coverage that has been a consistent thread through recent releases.
- 14d ago
Krisp 2.81.9 Call Center AI Updates
A follow-on desktop release shipping the same Conditional Call Recording and Indian-accent Accent Conversion improvements in the desktop client. The rapid same-day patch cadence indicates Krisp resolves installation-level issues as they surface post-release.
- 18d ago
Voice Translation expands to Cantonese; Spanish and Japanese accuracy improved
Voice Translation adds Cantonese and improves accuracy for Spanish and Japanese, extending the language roster that differentiates Krisp in multilingual contact center markets. Live Call Audit enforcement at the admin level is a new lever for quality assurance programs.
- 25d ago
Supervisor scoring linked to specific call moments
Supervisor evaluation scoring gets accuracy improvements with direct links to call moments, helping QA teams trace scores to specific audio events rather than relying on summary metrics. Voice Translation also expanded in this batch. The theme is consistent: turning raw call audio into structured, auditable compliance data.