Muvox LLC v. Amazon.com Inc

I. Executive Summary and Procedural Information

• Parties & Counsel:
  • Plaintiff: Muvox LLC (New Mexico)
  • Defendant: Amazon.com, Inc. (Delaware)
  • Plaintiff’s Counsel: Rabicoff Law LLC
• Case Identification: 2:26-cv-00585, E.D. Tex., 07/16/2026
• Venue Allegations: Plaintiff alleges venue is proper in the Eastern District of Texas because Defendant maintains an established place of business in the district and has allegedly committed acts of patent infringement there.
• Core Dispute: Plaintiff alleges that Defendant’s products—identified generically as the "Exemplary Defendant Products" in the claim charts incorporated from Exhibit 2—infringe a patent related to the system architecture for music categorization, playlist creation, and streaming based on computer-derived acoustic attributes.
• Technical Context: The technology relates to systems for analyzing audio tracks to generate objective scores for characteristics like rhythm, texture, and pitch, and using those scores to organize music and create personalized playlists for streaming.
• Key Procedural History: The complaint does not mention any prior litigation, licensing history, or other related proceedings. The patent-in-suit is part of an extensive patent family with a priority claim dating back to 2014.

Case Timeline

Date	Event
2014-03-27	’713 Patent Priority Date
2023-01-05	’713 Patent Application Filing Date
2024-02-13	’713 Patent Issue Date
2026-07-16	Complaint Filing Date

II. Technology and Patent(s)-in-Suit Analysis

U.S. Patent No. 11,899,713 - “Music streaming, playlist creation and streaming architecture”

The Invention Explained

• Problem Addressed: The patent describes a challenge for music publishers (such as radio stations or independent record labels) who possess music catalogs but lack a practical way to offer their own branded streaming services. Existing large-scale streaming platforms may not be a desirable option due to concerns about insufficient revenue generation. (US 11,899,713 B2, col. 1:46-62).
• The Patented Solution: The invention proposes a system for objectively categorizing music tracks based on computer-derived "rhythm, texture and pitch" (RTP) scores. (US 11,899,713 B2, abstract). These scores are generated by analyzing low-level acoustic data from the tracks and are stored in a universal database accessible to multiple publishers. (US 11,899,713 B2, col. 2:17-22). End-user applications, sponsored by a specific music publisher, can then access this database via an API to create personalized playlists and initiate music streaming, ensuring that only tracks licensed by the sponsoring publisher are available to its end users. (US 11,899,713 B2, col. 2:23-34). The overall process of analyzing tracks to derive RTP scores and map them to moods is illustrated in the patent’s figures. (’713 Patent, Fig. 1).
• Technical Importance: The technology provided a framework for standardizing the analysis of musical attributes and enabled smaller content owners to deploy customized, sponsored streaming applications without needing to build or license a full-scale streaming infrastructure from scratch. (US 11,899,713 B2, col. 2:27-34).

Key Claims at a Glance

• The complaint alleges infringement of "one or more claims" and "exemplary claims" but does not identify any specific claims in the body of the pleading. Compl. ¶11 The infringement contentions are said to be detailed in the claim charts of Exhibit 2, which the complaint incorporates by reference but which is not included in the provided source record. Compl. ¶16 Compl. ¶17
• Independent claim 1, a representative method claim, recites the following essential elements:
  • Selecting a song based on a computer-derived comparison between a "representation of the song" and "known similarities in representations of other songs."
  • Wherein the known similarities are based on a "human-trained machine."
  • Wherein the song's representation is based on isolating and identifying its "frequency characteristics."
  • Wherein the representations of the other songs are based on "a human listening" to them to isolate and identify their frequency characteristics.
  • Wherein the frequency characteristics of the songs correspond to one or more moods.
  • And wherein the selection is based on the similarity between the moods of the songs.
• The complaint does not explicitly reserve the right to assert dependent claims, but generally refers to infringement of "one or more claims." Compl. ¶11

III. The Accused Instrumentality

Product Identification

The complaint does not name any specific accused products. It refers generally to "Defendant products" and "Exemplary Defendant Products" that are purportedly identified in claim charts not included in the complaint body. Compl. ¶11 Compl. ¶16

Functionality and Market Context

The complaint provides no specific details regarding the functionality or operation of the accused products. It makes a conclusory allegation that the products "practice the technology claimed by the '713 Patent." Compl. ¶16 The patent includes an exemplary user interface for an end-user web application, which shows functionality for importing music and playing tracks (’713 Patent, Fig. 3A), and for creating playlists based on mood (’713 Patent, Fig. 3B).

IV. Analysis of Infringement Allegations

The complaint does not contain substantive infringement allegations or claim charts, instead incorporating them by reference to an unprovided "Exhibit 2." Compl. ¶16 Compl. ¶17 The complaint also pleads that Defendant directly infringes one or more claims of the '713 Patent by making, using, offering to sell, selling, and/or importing the accused products, literally or under the doctrine of equivalents Compl. ¶11, and that Defendant directly infringes by having its employees internally test and use the Exemplary Products Compl. ¶12 The narrative theory further asserts that Defendant’s products "satisfy all elements of the Exemplary '713 Patent Claims." Compl. ¶16 The patent includes a diagram of the system architecture, which depicts an end-user web application (210) interacting through an API server (218) with a universal database (216) that contains track information. (’713 Patent, Fig. 2).

• Identified Points of Contention:
  • Scope Questions: A central question may be whether the term "human-trained machine" as required by the claim can be read to cover modern machine-learning recommendation engines, which may be trained on vast datasets of user behavior rather than the specific "human listening" methodology described in the patent.
  • Technical Questions: What evidence does the complaint provide that Defendant's system uses training data derived from "a human listening to each of the plurality of the other songs in order to isolate and identify frequency characteristics"? This limitation appears to require a very specific, and perhaps non-standard, method for generating training data, which could be a significant point of dispute.

V. Key Claim Terms for Construction

• The Term: "human-trained machine" (’713 Patent, claim 1, col. 18)

  • Context and Importance: This term appears central to defining the claimed invention. The infringement analysis will likely depend on whether Defendant's accused recommendation algorithms can be characterized as a "human-trained machine" within the meaning of the patent.
  • Intrinsic Evidence for a Broader Interpretation: The specification is not extensive on this point, but practitioners may argue that any machine learning system whose training set was initially labeled or curated by humans could fall under this definition.
  • Intrinsic Evidence for a Narrower Interpretation: The specification describes a process where humans first develop RTP scores for a sample set of tracks, which are then used to train a neural network. (’713 Patent, col. 4). This could support an argument that the term is limited to a machine trained on a pre-defined set of human-generated "correct" answers, rather than one that learns from raw user data.

• The Term: "based on a human listening" (’713 Patent, claim 1, col. 18)

  • Context and Importance: This limitation defines the origin of the training data for the "other songs" used in the comparison. Proving that Defendant’s system relies on data generated in this specific manner may be a critical aspect of Plaintiff's case.
  • Intrinsic Evidence for a Broader Interpretation: A party might argue for a broad reading, but claim 1 requires the "human listening" to occur "in order to isolate and identify frequency characteristics," and the specification ties the limitation to the human-derived RTP scores, so a general qualitative-feedback reading is not supported by the intrinsic record.
  • Intrinsic Evidence for a Narrower Interpretation: The claim links the "human listening" directly to the act of isolating and identifying "frequency characteristics." (’713 Patent, claim 1, col. 18). This suggests a targeted, analytical listening process, not just passive listening or general mood tagging, which could narrow the term’s scope to the specific methodology described in the patent for creating the initial sample set. (’713 Patent, col. 4).

VI. Other Allegations

• Indirect Infringement: The complaint alleges induced infringement, asserting that Defendant, with knowledge of the patent from the service of the complaint, has continued to sell its products and provide materials that "direct end users to commit patent infringement." Compl. ¶14 Compl. ¶15
• Knowledge and Exceptional-Case Allegations: The complaint does not plead willful infringement; it alleges only that the service of the complaint gave Defendant "actual knowledge" of its infringement (i.e., post-suit knowledge) and that Defendant has continued its allegedly infringing activities despite this knowledge. Compl. ¶13 Compl. ¶14 The prayer for relief requests a judgment that the '713 Patent is valid and enforceable Compl. Prayer A; a judgment that Defendant has directly and indirectly infringed one or more claims Compl. Prayer B; an accounting of all damages not presented at trial Compl. Prayer C; an award of all appropriate damages under 35 U.S.C. § 284, including pre- or post-judgment interest, costs, and disbursements Compl. Prayer D; and a finding that the case is "exceptional" with an award of reasonable attorneys' fees under 35 U.S.C. § 285 Compl. Prayer E.i

VII. Analyst’s Conclusion: Key Questions for the Case

• The Evidentiary Burden: A primary question is what factual evidence Plaintiff can obtain and present to demonstrate that the accused products operate according to the specific, multi-step method recited in the asserted claims; the provided complaint record does not describe the accused products' recommendation or playlist-generation algorithms or their training techniques. The case may depend on Plaintiff's ability to show that Defendant’s system uses a "human-trained machine" that relies on training data generated from "human listening" in the particular manner described by the patent.

• The Definitional Hurdle: The outcome of the dispute may hinge on claim construction. A core issue will be whether the phrase "based on a human listening... to isolate and identify frequency characteristics" is interpreted narrowly to require the specific analytical process detailed in the patent’s embodiments, or broadly enough to encompass any system where human-generated music metadata is used as a machine learning input.