Sanas Expands Legal Battle Against Krisp with New Patent and Advertising Claims

Sep 23, 2025
Sanas has added new patent infringement and false advertising claims to its ongoing lawsuit against Krisp Technologies, alleging misuse of confidential information and misleading statements about Sanas' capabilities.

Sanas has expanded its legal action against Krisp Technologies, Inc. by adding new claims to its ongoing lawsuit, announced in a press release. The updated complaint, filed in the United States District Court for the Northern District of California, now includes allegations of patent infringement and false advertising.

Sanas initially accused Krisp of stealing confidential information to develop its own product, improperly filing patent applications, and infringing on six of Sanas' patents. The amended complaint now also claims that Krisp has infringed on two additional patents recently awarded to Sanas, and accuses Krisp of making false advertising statements about Sanas' accent coverage and technical performance.

The lawsuit seeks monetary damages, an injunction against Krisp's products, and a legal declaration recognizing Sanas as a co-inventor and co-owner of two U.S. patents issued to Krisp. Sanas has also filed a parallel lawsuit in India, alleging similar patent infringement and unlawful disparagement of its products.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like AI Policy Brief or Daily AI Brief.

Also, consider following us on social media:

AI Safety & Regulation AI Brief AI Brief (X)
Free newsletter

AI Policy Brief

Weekly report on AI regulations, safety standards, government policies, and compliance requirements worldwide.

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.