UnfoldIPThemes

Company patents

VIZIT LABS, INC.

VIZIT LABS, INC. exhibits a highly concentrated patent strategy, with Computer Vision representing a dominant 96.0% of its portfolio. While patenting in core areas like Computer Vision, Databases & Information Retrieval, and Machine Learning & AI saw explosive growth in 2024 (e.g., +255.6% for Computer Vision), the significant year-over-year declines in 2025 and so far in 2026 across most categories, including a complete cessation of new patents in Pattern Recognition & ML Models and Business Methods & Fintech this year, suggest a potential shift or slowdown in its innovation output after a surge.

Patent Trend by Technology Area

Yearly patent publications since 2023

Product themes

Product-level themes inferred from filings since 2023, with category chips showing where each theme appears. Select a theme to filter the patents below.

75 US filings (since 2023) · 5 categories · 6 themes

Video Quality & Encoding Optimization

Methods and apparatus for improving the visual fidelity, resolution, or compression efficiency of video signals, often through advanced processing, up-scaling, or neural network-based filters.

Computer Vision
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55since 2023
-30.8%YoY
Efficient Visual Feature Extraction

Algorithms and hardware optimizations for rapidly identifying and characterizing relevant visual features (e.g., objects, motion, gradients) from images or video streams, often integrating machine learning for feature representation and recognition, with a focus on real-time performance and reduced computational cost.

Pattern Recognition & ML Models
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31since 2023
+25.0%YoY
Generative AI for Images

Techniques utilizing deep learning models like Generative Adversarial Networks (GANs) or diffusion models to create new images, modify existing ones, or generate synthetic data based on various inputs or conditions.

Computer Vision
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13since 2023
-66.7%YoY
Large Model Text Generation

Techniques for generating human-like text or other content using large pre-trained models, often involving prompt engineering, speculative decoding, or multi-modal inputs for content creation.

Machine Learning & AI
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6since 2023
new
Multimodal Data Fusionfiltered

Techniques for combining and analyzing information from multiple distinct data modalities (e.g., text, image, video, audio, sensor data) to derive richer insights or improve system performance and decision-making.

Databases & Information RetrievalMachine Learning & AI
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2since 2023
new
Intelligent Decision Support

Systems that process data to provide personalized recommendations, predict events, or automate decision-making processes based on learned patterns, user behavior, or environmental factors.

Databases & Information Retrieval
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1since 2023
n/a

Patents

Showing 1-2 of 2

Multimodal Data Fusion
Page 1 of 1
US 12254669 B1GRANTED
G06V10/82

Systems and methods for training a multi-modal machine learning architecture for content generation

Filed:2024-11-14Pub:2025-03-18
Applicant:VIZIT LABS, INC.

The present disclosure describes a method comprising receiving a plurality of training images; executing a feature extraction machine learning model to generate a plurality of training embeddings for a plurality of training images each in an embedding space; training a content scoring machine learning model using the plurality of training embeddings to generate performance scores for content items based on embeddings in the embedding space; receiving a set of text; executing the feature extraction machine learning model using the set of text to generate a text embedding in the same embedding space as the training embeddings for the plurality of training images; generating, using the content scoring machine learning model, a text performance score for the set of text using the text embedding in the embedding space; and generating a record identifying the text performance score for the set of text.

US 20250078453 A1APPLICATION
G06V10/74

SYSTEMS AND METHODS FOR TRAINING A MULTI-MODAL MACHINE LEARNING ARCHITECTURE FOR CONTENT GENERATION

Filed:2024-11-14Pub:2025-03-06
Applicant:VIZIT LABS, INC.

The present disclosure describes a method comprising receiving a plurality of training images; executing a feature extraction machine learning model to generate a plurality of training embeddings for a plurality of training images each in an embedding space; training a content scoring machine learning model using the plurality of training embeddings to generate performance scores for content items based on embeddings in the embedding space; receiving a set of text; executing the feature extraction machine learning model using the set of text to generate a text embedding in the same embedding space as the training embeddings for the plurality of training images; generating, using the content scoring machine learning model, a text performance score for the set of text using the text embedding in the embedding space; and generating a record identifying the text performance score for the set of text.

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