ADP, Inc. AI Strategy 2025
ADP, Inc. AI Strategy - 2025
In 2025, ADP, Inc. has filed a diverse range of AI-related patent applications, reflecting its strategic focus on artificial intelligence innovations. This page analyzes patent applications submitted by ADP, Inc. in different CPC (Cooperative Patent Classification) classes and identifies key technology trends.
Introduction
ADP, Inc.'s AI patent strategy in 2025 showcases a robust approach to protecting and advancing its technological innovations across multiple areas. By securing patents in these key CPC classes, ADP, Inc. not only strengthens its market position but also fosters continuous innovation in artificial intelligence and related technologies.
To date in 2025, ADP, Inc. has filed 14 patent applications related to artificial intelligence technologies.
Key Technology Areas
CPC G06N20/00 (Machine learning)
ADP, Inc.'s patent applications in this area focus on innovations in Machine learning, which are crucial for the company's AI initiatives.
- Total Applications Filed: 3
- Percentage of AI Portfolio: 21.4%
CPC G06V30/413 (IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING)
ADP, Inc.'s patent applications in this area focus on innovations in IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING, which are crucial for the company's AI initiatives.
- Total Applications Filed: 2
- Percentage of AI Portfolio: 14.3%
CPC G06V30/416 (IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING)
ADP, Inc.'s patent applications in this area focus on innovations in IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING, which are crucial for the company's AI initiatives.
- Total Applications Filed: 2
- Percentage of AI Portfolio: 14.3%
CPC G06N5/04 (Inference or reasoning models)
ADP, Inc.'s patent applications in this area focus on innovations in Inference or reasoning models, which are crucial for the company's AI initiatives.
- Total Applications Filed: 1
- Percentage of AI Portfolio: 7.1%
CPC G06V30/418 (IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING)
ADP, Inc.'s patent applications in this area focus on innovations in IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING, which are crucial for the company's AI initiatives.
- Total Applications Filed: 1
- Percentage of AI Portfolio: 7.1%
CPC G06N3/0475 (Generative networks)
ADP, Inc.'s patent applications in this area focus on innovations in Generative networks, which are crucial for the company's AI initiatives.
- Total Applications Filed: 1
- Percentage of AI Portfolio: 7.1%
CPC G06N3/08 (Learning methods)
ADP, Inc.'s patent applications in this area focus on innovations in Learning methods, which are crucial for the company's AI initiatives.
- Total Applications Filed: 1
- Percentage of AI Portfolio: 7.1%
CPC G06V30/1473 (IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING)
ADP, Inc.'s patent applications in this area focus on innovations in IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING, which are crucial for the company's AI initiatives.
- Total Applications Filed: 1
- Percentage of AI Portfolio: 7.1%
CPC G06N20/20 (Ensemble learning)
ADP, Inc.'s patent applications in this area focus on innovations in Ensemble learning, which are crucial for the company's AI initiatives.
- Total Applications Filed: 1
- Percentage of AI Portfolio: 7.1%
AI Patent Categories
Other AI
- Patents: 7
- Percentage: 50.0%
- Description: Various AI technologies that don't fall into the main categories above.
Machine Learning
- Patents: 6
- Percentage: 42.9%
- Description: A field of AI focused on algorithms that can learn from and make predictions on data without being explicitly programmed.
Computer Vision
- Patents: 1
- Percentage: 7.1%
- Description: AI systems that can interpret and make decisions based on visual data from the world.
Recent ADP, Inc. AI Patent Applications
Below are some of the most recent AI-related patent applications filed by ADP, Inc. in 2025:
| Patent Title | Filing Date | Description |
|---|---|---|
| DATA STRUCTURE MODIFICATION USING A VIRTUAL ASSISTANT BASED ON LARGE LANGUAGE MODELS AND ONTOLOGY | 2025-05-01 | A system can receive, via a chatbot interface, a textual input related to an electronic report. The system can generate, using a large language model, an output including a set of keywords, a rephrase... |
| SCALING VIRTUAL ASSISTANT SYSTEM EXECUTION VIA MACHINE LEARNING BASED DATA MINING AND EVENT IDENTIFICATION | 2025-04-24 | A system can receive textual input from a client device via a chatbot interface. The system can classify, by machine learning models, the textual input into categories, where the categories correspond... |
| SCALING VIRTUAL ASSISTANT SYSTEM EXECUTION VIA MACHINE LEARNING BASED DATA MINING AND EVENT IDENTIFICATION | 2025-04-24 | A system can receive textual input from a client device via a chatbot interface. The system can identify a profile data structure based on an identifier of the client device. The system can classify, ... |
| CORRELATION BASED DATA EXTRACTION USING MACHINE LEARNING | 2025-04-03 | A system can include one or more memory devices that can store instructions thereon. The instructions can, when executed by one or more processors, cause the one or more processors to receive training... |
| MACHINE LEARNING BASED SERVICE PERFORMANCE MANAGEMENT DIGITAL ASSISTANT | 2025-04-03 | A machine learning (ML)-based service performance digital assistant is provided. The system can include a computing system with a processor and memory that can analyze an electronic transcript from au... |
| Latent Intent Clustering in High Latent Spaces | 2025-02-27 | A method of latent intent clustering is provided. The method comprises encoding identified features in a number of electronic user reports in a database. A binary matrix is created, wherein each row o... |
| MULTI-MODEL SYSTEM FOR ELECTRONIC TRANSACTION AUTHORIZATION AND FRAUD DETECTION | 2025-02-20 | A method receives an electronic image and uses the image as an input to a neural network. Based on a determination that the image represents a document, the method uses the image as an input to anothe... |
| DATA DIGITIZATION VIA CUSTOM INTEGRATED MACHINE LEARNING ENSEMBLES | 2025-01-23 | Data digitization via custom integrated machine learning ensembles is provided. For example, a system integrates multiple trained machine learning ensembles to identify, extract, and map data. The sys... |
| Context-Independent Conversational Flow | 2025-01-23 | A method, apparatus, system, and computer program code for performing a human resource operation using a context-independent conversational flow. The computer system receives an intended human resourc... |
| BENEFIT VALIDATION | 2025-01-23 | Verifying benefit information for an employer-provided benefit plan is provided. A computer system verifies employee enrollments in the benefit plan. Verifying employee enrollments includes receiving ... |
Overview of ADP, Inc.'s AI Patent Strategy
ADP, Inc. is renowned not only for its innovative products but also for its strategic approach to AI patent applications. ADP, Inc.'s patent strategy focuses on protecting its technological advancements in artificial intelligence, machine learning, and related technologies. This strategy helps ADP, Inc. maintain a competitive edge and fosters innovation within the industry.
The company's AI patent filings reveal a particular emphasis on Other AI, which accounts for approximately 50.0% of their AI-related patents in 2025.
AI Patent Trends
The chart above shows the trend of ADP, Inc.'s AI patent applications over time, revealing a significant acceleration in ADP, Inc.'s AI patent filings in recent months.
Frequently Asked Questions About ADP, Inc.'s AI Patent Strategy
What are ADP, Inc.'s main focus areas in AI patent applications?
Based on patent filing analysis, ADP, Inc.'s key focus areas include Other AI (7 patents), Machine Learning (6 patents), Computer Vision (1 patents). These areas represent 100.0% of ADP, Inc.'s AI-related patent applications.
ADP, Inc. has filed 14 AI-related patent applications in 2025 so far.
What is ADP, Inc.'s most active AI technology area?
The most active area is Other AI, with 7 patent applications representing 50.0% of their AI patent portfolio.
How does ADP, Inc. protect its AI innovations?
ADP, Inc. employs a strategic patent filing approach focused on protecting core AI technologies while also maintaining some trade secrets. Their patent strategy covers both foundational AI methods and specific applications in their product areas.
What types of AI applications is ADP, Inc. patenting?
Based on recent patent filings, ADP, Inc. is patenting AI applications in Other AI, Machine Learning, Computer Vision, among other areas.
How does ADP, Inc.'s AI patent strategy compare to competitors?
Analysis of ADP, Inc.'s patent filings shows an increased focus on Other AI and Machine Learning compared to industry averages, suggesting a strategic emphasis on these technologies.
What might ADP, Inc.'s AI patent strategy indicate about future products?
The concentration of patents in Other AI and Machine Learning suggests ADP, Inc. may be developing new products or services that leverage these technologies. This could indicate upcoming features in their existing product lines or entirely new offerings.
See Also
- ADP, Inc. Patent Application Trends in 2025
- List of Top AI Patent Filers in 2025
- Artificial Intelligence Patent Trends
- CPC Classification Guide for AI Technologies
This page was last updated on 05 May 2025.
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