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Surber v Oura Inc

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Case Information
Case name Surber v. Oura Inc[1]
Court U.S. District Court for the Northern District of California[1]
Docket 3:26-cv-08686[1]
Filed August 20, 2026[1]
Judge(s) Not identified in the sources reviewed.
Plaintiffs Madison Surber[1]
Defendants Oura Inc.; Oura Health Oy d/b/a Ouraring Inc.; subsidiaries identified in the complaint[1]
Case type Proposed civil consumer class action[1]
Claims / issues Allegedly misleading AI-related health, accuracy and product representations[1]
Status Complaint filed August 20, 2026. Later developments have not been verified.[1]

Surber v. Oura Inc. is a proposed consumer class action filed on August 20, 2026, in the United States District Court for the Northern District of California.[2]

Background

Surber alleges that she bought an Oura Ring 4 after seeing marketing representations that the product could accurately track sleep stages.[2] The complaint alleges that Oura rings do not directly measure brain activity, eye movement, or muscle tone and instead use machine-learning algorithms to infer sleep stages from peripheral physiological signals.[2]

The complaint challenges claims that Oura products provide “79% agreement” with polysomnography and “95% Sleep Staging Accuracy” compared with a clinical sleep lab.[2] Oura told TechCrunch that independent research supports its accuracy claims, emphasized that its product is not a medical device or substitute for a clinical sleep study, and said it would defend the case.[3]

Claims

The complaint asserts nationwide fraud and unjust-enrichment claims and California claims under the Unfair Competition Law, False Advertising Law, Consumers Legal Remedies Act, Commercial Code, and Song-Beverly Consumer Warranty Act.[2] It seeks class certification, an order stopping the challenged marketing, damages, restitution, disgorgement, penalties, and other relief.[2]

Procedural History

Surber filed the complaint and demanded a jury trial on August 20, 2026.[2]

Significance

The case presents a consumer-protection challenge to quantified accuracy claims for AI-generated health inferences produced by a wearable device.[2]

See Also

References