Company patents
Cigna Intellectual Property, Inc.
Cigna Intellectual Property, Inc. appears to be significantly shifting its patent strategy, as evidenced by a dramatic decline across nearly all categories since 2023. While Healthcare Informatics remains a core area with 36.6% of its portfolio and 2 patents so far in 2026, the sharp year-over-year drops in previously dominant areas like Databases & Information Retrieval (down 100.0% in 2026) and Machine Learning & AI (down 100.0% in 2026) suggest a substantial re-evaluation or reduction in patenting activity, with only a few categories like Pattern Recognition & ML Models and Network Security & Access Control showing temporary growth in 2025 before also declining to zero so far in 2026.
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.
71 US filings (since 2023) · 12 categories · 12 themes
Application of machine learning models to process complex data and generate actionable insights, predictions, or classifications that inform or automate decision-making processes in various domains like healthcare, business, or industrial control.
Utilizing machine learning, particularly deep learning, to analyze medical data such as images, sensor readings, or physiological signals for disease prediction, diagnosis, or treatment assessment.
Methods and systems for integrating, transforming, and managing complex or domain-specific data from disparate sources into a unified structure, often for specific applications like social networks, genomics, or business forms.
Systems and methods for authenticating users, devices, or applications, authorizing their access to resources based on policies, and managing digital identities across various platforms.
Techniques and tools for automatically identifying, resolving, building, and packaging software dependencies, including managing versions, branches, and ensuring the integrity and security of the dependency chain.
Systems that integrate digital technology, sensors, or connectivity to monitor, track, or automate aspects of medication administration, often providing data feedback, personalized recommendations, or secure logging.
Systems that use user data, preferences, and machine learning to generate tailored advice, product recommendations, goal-setting plans, or contextual information for individuals across different domains.
Systems that process data to provide personalized recommendations, predict events, or automate decision-making processes based on learned patterns, user behavior, or environmental factors.
Systems and methods for non-invasive or minimally invasive collection and analysis of physiological data (e.g., blood pressure, electrolytes, genetic markers, B cell repertoire) to assess patient health status, screen for conditions, or aid in diagnosis.
Systems and methods for automating the lifecycle of machine learning models, including pipeline deployment, model management, versioning, and configuring for different inference environments.
Digital platforms and systems that deliver tailored therapeutic interventions, guidance, or recommendations to patients based on their individual health data, biometric feedback, and computational models (e.g., AI/ML, physiological simulations).
Methods and systems for identifying, extracting, and structuring specific entities, relationships, or insights from text-based documents, often involving techniques like named entity recognition, relation extraction, or summarization.
Patents
Showing 1-10 of 105